The Male Reproductive System Anatomical Chart

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The Male Reproductive System Anatomical Chart La revue

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Provides anterior and posterior view of the system. Shows the pelvic organ (oblique section) and cross-section of the penis. Illustrates the prostate, perineum, spermatogenesis, testis, and vasculature & innervation.
Compatibility:
BlackBerry™ OS 4.1 or Higher / iPhone/iPod Touch 2.0 or Higher /Palm OS 3.5 or higher / Palm Pre Classic / Symbian S60, 3rd edition (Nokia) / Windows Mobile™ Pocket PC (all versions) / Windows Mobile Smartphone / Windows 98SE/2000/ME/XP/Vista/Tablet PC.


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Primer of Applied Regression & Analysis of Variance

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Primer of Applied Regression & Analysis of Variance La revue

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Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).

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Med. Embryolgy (Langman) [13th Edition]

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Med. Embryolgy (Langman) [13th Edition] Description

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Offering exceptional full color diagrams and clinical images, Langman's Medical Embryology, 13e helps medical, nursing, and health professions students develop a basic understanding of embryology and its clinical relevance. Concise chapter summaries, captivating clinical correlates boxes, clinical problems, and a clear, concise writing style make the subject matter accessible to students and relevant to instructors. The new edition is enhanced by over 100 new and updated illustrations, additional clinical images and photos of early embryologic development, and an expanded chapter on the cardiovascular system. Clinical Correlates boxes illustrated by cases and images cover birth defects, developmental abnormalities, and other clinical phenomena. More than 400 illustrations-including full-color line drawings, scanning electron micrographs, and clinical images-clarify key aspects of embryonic development. Basic genetic molecular biology principles are highlighted throughout the text to link embryology to other critical specialties. Chapter Overview figures provide a visually compelling introduction to each chapter. Problems to Solve (with detailed answers at the back of the book) help you assess your understanding. An expanded glossary defines key terms and concepts. Online learning resources for students include an interactive question bank and animations..


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High-Yield Embryology (High-Yield Series)

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High-Yield Embryology (High-Yield Series) La revue

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This series extracts the most important information on each topic and presents it in a concise, uncluttered fashion to prepare students for the USMLE. High-Yield means exactly that!

High-Yield Embryology, Fifth Edition provides a concentrated, efficient review of embryology material tested on the USMLE Step 1. Concepts are presented in a streamlined outline format with tables, diagrams, photos, and radiographs to clarify important material.

In response to student feedback, the Fifth Edition features:

• New and updated figures
• Additional USMLE-style case studies at the end of each chapter
• An expanded section on early development 

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Practical Tools for Designing and Weighting Survey Samples (Statistics for Social and Behavioral Sciences)

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Practical Tools for Designing and Weighting Survey Samples (Statistics for Social and Behavioral Sciences) La revue

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Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples.

Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.

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A Primer of Ecology with R (Use R!)

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A Primer of Ecology with R (Use R!) La revue

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Ecology is more quantitative and theory-driven than ever before, and A Primer of Ecology with R combines an introduction to the major theoretical concepts in general ecology with a cutting edge open source tool, the R programming language. Starting with geometric growth and proceeding through stability of multispecies interactions and species-abundance distributions, this book demystifies and explains fundamental ideas in population and community ecology. Graduate students in ecology, along with upper division undergraduates and faculty, will find this to be a useful overview of important topics.
In addition to the most basic topics, this book includes construction and analysis of demographic matrix models, metapopulation and source-sink models, host-parasitoid and disease models, multiple basins of attraction, the storage effect, neutral theory, and diversity partitioning. Several sections include examples of confronting models with data. Chapter summaries and problem sets at the end of each chapter provide opportunities to evaluate and enrich one's understanding of the ecological ideas that each chapter introduces.
R is rapidly becoming the lingua franca of quantitative sciences, and this text provides a tractable introduction to using the R programming environment in ecology. An appendix provides a general introduction, and examples of code throughout each chapter give readers the option to hone their growing R skills.
'The distinctive strength of this book is that truths are mostly not revealed but discovered, in the way that R-savvy ecologists—empirical and theoretical—work and think now. For readers still chained to spreadsheets, working through this book could be a revolution in their approach to doing science.' (Stephen P. Ellner, Cornell University)
'One of the greatest strengths…is the integration of ecological theory with examples ... pulled straight from the literature.' (James R. Vonesh, Virginia Commonwealth University).


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Easy Interpretation of Biostatistics: The Vital Link to Applying Evidence in Medical Decisions

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Easy Interpretation of Biostatistics: The Vital Link to Applying Evidence in Medical Decisions Info

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Learn biostatistics the easy way. This outstanding resource presents the key concepts you need to understand biostatistics and how to apply them in clinical medicine. Easy-to-understand examples and analogies explain complex concepts, and practical applications provide you with real tools for use in daily practice. The book’s organization is intuitive, so that concepts build upon one another, maximizing understanding. This book will give you the confidence to appraise the existing literature - and the vocabulary you need to discuss it.

• Uses an easy-to-understand presentation and writing style to make the material easily accessible.
• Places its emphasis on concepts, not formulas, for more clinical-based guidance.
• Focuses on practical applications of biostatistics to medical practice to give you a better understanding of how and why research is conducted.
• Presents concise but comprehensive coverage to create easily accessible yet complete information.
• Provides examples, analogies, and memorization tips to make the material easier to absorb.

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Developmental Biology

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Developmental Biology Description

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"Developmental Biology", seventh edition and on contemporary developmental biology is written primarily for second and final year undergraduate students of biology but will also be useful for introducing graduate students and medical students to developmental biology. In addition to exploring and synthesizing the organismal, cellular and molecular aspects of animal development, the seventh edition expands its coverage of the medical, environmental, and evolutionary aspects of developmental biology. A Vade Mecum CD-ROM (ISBN 0 87893 259 X) is included with every copy of the book. This updated version now also includes Mary Tyler's new laboratory manual, "Developmental Biology: A Guide for Experimental Study", third edition, and now in electronic (PDF) format. The website at www.devbio.com is completely updated and cross-referenced throughout the textbook. Lecturer supplements include: "Instructor's Resource CD" (ISBN 0 87893 259 3) which contains all the figures from the textbook, and 200 overhead transparencies (ISBN 0 87893 260 7)..


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Introduction to Bayesian Statistics, 2nd Edition

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Introduction to Bayesian Statistics, 2nd Edition La revue

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Praise for the First Edition

"I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to introduce Bayesian statistics."
—Statistics in Medical Research

"[This book] is written in a lucid conversational style, which is so rare in mathematical writings. It does an excellent job of presenting Bayesian statistics as a perfectly reasonable approach to elementary problems in statistics."
—STATS: The Magazine for Students of Statistics, American Statistical Association

"Bolstad offers clear explanations of every concept and method making the book accessible and valuable to undergraduate and graduate students alike."
—Journal of Applied Statistics

The use of Bayesian methods in applied statistical analysis has become increasingly popular, yet most introductory statistics texts continue to only present the subject using frequentist methods. Introduction to Bayesian Statistics, Second Edition focuses on Bayesian methods that can be used for inference, and it also addresses how these methods compare favorably with frequentist alternatives. Teaching statistics from the Bayesian perspective allows for direct probability statements about parameters, and this approach is now more relevant than ever due to computer programs that allow practitioners to work on problems that contain many parameters.

This book uniquely covers the topics typically found in an introductory statistics book—but from a Bayesian perspective—giving readers an advantage as they enter fields where statistics is used. This Second Edition provides:

• Extended coverage of Poisson and Gamma distributions

• Two new chapters on Bayesian inference for Poisson observations and Bayesian inference for the standard deviation for normal observations

• A twenty-five percent increase in exercises with selected answers at the end of the book

• A calculus refresher appendix and a summary on the use of statistical tables

• New computer exercises that use R functions and Minitab® macros for Bayesian analysis and Monte Carlo simulations

Introduction to Bayesian Statistics, Second Edition is an invaluable textbook for advanced undergraduate and graduate-level statistics courses as well as a practical reference for statisticians who require a working knowledge of Bayesian statistics.

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Regression Methods in Biostatistics (Statistics for Biology and Health)

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Regression Methods in Biostatistics (Statistics for Biology and Health) Description

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This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided..


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The Skeletal System Anatomical Chart

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The Skeletal System Anatomical Chart La revue

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Classic illustrations by Peter Bachin. Shows anterior, lateral and posterior views of the skeletal system. Also illustrates portion of long bone, auditory ossicles, ligaments of the right hand (dorsal and palmar views), ligaments of the right foot (dorsal and plantar view) and the right knee joint (anterior and posterior views)..


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Introducing Survival and Event History Analysis

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Introducing Survival and Event History Analysis La revue

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This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences.

Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics.

Engaging, easy to read, functional and packed with enlightening examples, 'hands-on' exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the 'user', making it suitable as both a self-learning tool and graduate-level textbook.

Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.

 

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Survival Analysis: Techniques for Censored and Truncated Data (Statistics for Biology and Health)

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Survival Analysis: Techniques for Censored and Truncated Data (Statistics for Biology and Health) Description

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Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of survival experiments is complicated by issues of censoring, where an individual's life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of Practical Notes at the end of each section. Technical details of the derivation of the techniques are sketched in a series of Technical Notes. This book will be useful for investigators who need to analyze censored or truncated life time data, and as a textbook for a graduate course in survival analysis. The prerequisite is a standard course in statistical methodology..


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Quirks of Human Anatomy: An Evo-Devo Look at the Human Body

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Quirks of Human Anatomy: An Evo-Devo Look at the Human Body Info

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With the emergence of the new field of evolutionary developmental biology we are witnessing a renaissance of Darwin's insights 150 years after his Origin of Species. Thus far, the exciting findings from "evo-devo" have only been trickling into college courses and into the domain of non-specialists. With its focus on the human organism, Quirks of Human Anatomy opens the floodgates by stating the arguments of evo-devo in plain English, and by offering a cornucopia of interesting case studies and examples. Its didactic value is enhanced by 24 schematic diagrams that integrate a host of disparate observations, by its Socratic question-and-answer format, and by its unprecedented compilation of the literature. By framing the "hows" of development in terms of the "whys" of evolution, it lets readers probe the deepest questions of biology. Readers will find the book not only educational but also enjoyable, as it revels in the fun of scientific exploration..


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Lippincott's Illustrated Q&A Review of Anatomy & Embryology

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Lippincott's Illustrated Q&A Review of Anatomy & Embryology Info

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The Anatomical Chart Company - Lippincott's Illustrated Q&A Review of Anatomy and Embryology offers up-to-date, clinically relevant board-style questions-perfect for course review and board prep! Approximately 400 multiple-choice questions with detailed answer explanations cover frequently tested topics in anatomy and embryology, including clinical topics addressed in Moore, Clinically Oriented Anatomy and Sadler, Langman's Medical Embryology. Readers will find USMLE-style clinical vignette questions as well as content review questions. The book is heavily illustrated with anatomical images, clinical images that portray signs and symptoms, and radiological images including ultrasounds, PET scans, MRIs, CT scans, and X-rays. Online access to the questions and answers on a companion website provides flexible study options..


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Dictionary of Developmental Biology and Embryology

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Dictionary of Developmental Biology and Embryology La revue

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Developmental biology is the study of the mechanisms of development, differentiation, and growth in animals and plants at the molecular, cellular, and genetic levels. The discipline has gained prominence in part due to new interdisciplinary approaches and advances in technology, which have led to the rapid emergence of new concepts and words. The Dictionary of Developmental Biology and Embryology is the first comprehensive reference focused on the terms, research, history, and people of this field.
This authoritative A-to-Z resource covers classical morphological and cytological terms along with those from modern genetics and molecular biology. Extensively cross-referenced, the Dictionary includes definitions of terms, explanations of concepts, and biographies of historical figures. Comparative aspects are described in order to provide a sense of the evolution of structures. All features of embryology and developmental biology are covered, including:
? Vertebrates
? Invertebrates
? Plants
? Developmental genetics
? Evolutionary developmental biology
? Molecular developmental biology
? Medical embryology
The author's premium on accessibility allows readers at all levels to enhance their vocabulary in their field and understand terminology beyond their specific focus. Researchers and students in developmental biology, cell biology, developmental genetics, and embryology will find the Dictionary to be a vital resource..


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Introduction to Statistical Mediation Analysis (Multivariate Applications Series)

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Introduction to Statistical Mediation Analysis (Multivariate Applications Series) La revue

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This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations.

Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying CD contains outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology.

The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions.

Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.

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Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data (Cambridge Medicine (Paperback))

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Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data (Cambridge Medicine (Paperback)) Description

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For biomedical researchers, the new edition of this standard text guides readers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is used to perform the analyses, in this edition employing the intuitive version 10.
Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available online through Vanderbilt University..


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Teratogenic Effects of Drugs: A Resource for Clinicians (TERIS)

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Teratogenic Effects of Drugs: A Resource for Clinicians (TERIS) Info

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Teratogenic exposures during embryonic or fetal life can produce permanent abnormalities of structure or function. Although the number of individuals affected is relatively small -- perhaps accounting for about one-tenth of all birth defects -- teratogenic exposures are nevertheless important because they are potentially preventable. In Teratogenic Effects of Drugs, J. M. Friedman, M.D., Ph.D., and Janine E. Polifka, Ph.D., present an updated version of their catalog for clinicians.

With more than 1,100 agent summaries, this new edition expands the clinically oriented information now available on the potential teratogenic effects of drugs and other agents on the developing fetus or embryo. Unique to this catalog is a rating system by which an internationally recognized panel of teratologists assesses the risk associated with usual exposures to each agent. Also rated are the quality and quantity of data upon which the panel's assessment is based. Each entry includes a concise narrative summary that reviews the available information as well as a list of key references.

Teratogenic Effects of Drugs is the hardcover version of a computerized database known as the Teratogen Information System (TERIS), the on-line version of which first appeared in 1987. This new edition will continue to serve as a reference for use by clinical and research geneticists, teratologists, obstetricians, and pediatricians.

Praise for the first edition:

"For all practitioners in clinical teratology, maternal/fetal medicine, obstetrics, medical genetics, and toxicology that take this clinical problem seriously, Teratogenic Effects of Drugs should be on their shelf." -- American Journal of Human Genetics

"The FDA would do well to contract TERIS to write the 'Drug in Pregnancy' portion of pharmaceutical company labels... Until the FDA takes such a sensible step, buy the book." -- Reproductive Toxicology

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Fetal and Neonatal Physiology (Polin, Fetal and Neonatal Physiology, 2 Vol Set)

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Fetal and Neonatal Physiology (Polin, Fetal and Neonatal Physiology, 2 Vol Set) La revue

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Fetal and Neonatal Physiology, edited by Drs. Polin, Fox, and Abman, focuses on physiologic developments of the fetus and newborn and their impact on the clinical practice of neonatology. A must for practice, this 4th edition brings you the latest information on genetic therapy, intrauterine infections, brain protection and neuroimaging, and much more.

• Gain a comprehensive, state-of-the-art understanding of normal and abnormal physiology, and its relationship to disease in the fetus and newborn premature infant, from Dr. Richard Polin and other acknowledged worldwide leaders in the field.
• Understand the implications of fetal and neonatal physiology through chapters devoted to clinical correlation.

• Apply the latest insights on genetic therapy, intrauterine infections, brain protection and neuroimaging, and much more.
• Effectively manage the consequences of intrauterine infections with three new chapters covering intrauterine infection and preterm birth, intrauterine infection and brain injury, and intrauterine infection and chronic lung disease.

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A History of Embryology

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A History of Embryology La revue

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First published in 1959 as the second edition of a 1934 original, this book describes the Western history of embryology from prehistoric concepts of foetal growth through Graeco-Roman antiquity to the close of the eighteenth century. The text is illustrated with plates and diagrams showing the development of scientific understanding over time, first through artistic representations of gestation and later through scientific drawings and sketches. This book will be of value to anyone with an interest in the history of medicine..


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Research Designs (Quantitative Applications in the Social Sciences)

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Research Designs (Quantitative Applications in the Social Sciences) Description

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Research Designs is a clear, compact introduction to the principles of experimental and non-experimental design especially written for social scientists and their students. Spector covers major designs including: single group designs; pre-test/post-test designs; factorial designs, hierarchical designs; multivariate designs; the Solomon four group design; panel designs; and designs with concomitant variables.

Research Designs is a clear, compact introduction to the principles of experimental and non-experimental design especially written for social scientists and their students. Spector covers major designs including: single group designs; pre-test/post-test designs; factorial designs, hierarchical designs; multivariate designs; the Solomon four group design; panel designs; and designs with concomitant variables.

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Epidemiology Foundations: The Science of Public Health

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Epidemiology Foundations: The Science of Public Health La revue

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Written by Peter J. Fos—an expert in epidemiology with more than twenty years teaching experience—Epidemiology Foundations offers an ideal introduction to the theory and practice of public health epidemiology. This important text discusses both the historical perspective and future trends of epidemiology, reviews health and disease, and explains how they are measured. The book's overview of epidemiological studies shows how they are used in practice. Epidemiology Foundations takes a social and community perspective and includes information about global diseases and epidemics.

Emphasis on concepts such as population health, social determinants, and global health make this book especially interesting and accessible to those new to the subject. Each chapter is supplemented with problem-solving exercises and research assignments to aid readers in understanding its epidemiology principles. Reflecting and expanding on recommendations of the Association of American Colleges and Universities, Epidemiology Foundations is the ideal text for any course introducing epidemiology in public health.

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Development of Normal Fetal Movements: The Last 15 Weeks of Gestation

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Development of Normal Fetal Movements: The Last 15 Weeks of Gestation Description

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In the later stages of gestation, fetal functions undergo increasing change and development, preparing the fetus for the transition to its postnatal environment. Rapid maturation is witnessed in breathing, swallowing, sensory functions, sleep, and many other processes, with corresponding behavioral changes. By 35 to 40 weeks of gestation, fetuses are capable of living ex utero without support, but it is increasingly appreciated that even infants born at between 35 and 36 weeks can suffer long-term consequences. This book, which complements the author’s previous volume on development of normal fetal movements during the first 25 weeks of gestation, discusses in detail the full range of behavioral phenomena observed during the final 15 weeks of gestation, with careful analysis of their mutual relationships. A key feature is the outstanding photographic material, difficult to obtain at this late stage, and the instructive graphs that  are also included. The information provided will alert clinicians to deviations from the norm and to physiologic phenomena that can turn pathologic in infants born prematurely.​.


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Statistics for Terrified Biologists

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Statistics for Terrified Biologists Info

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“We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” –The Quarterly Review of Biology, March 2009

"During the entire course of my Ph.D. I've been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I've come to realize that often times, simply knowing the basics is enough for you to properly apply even the most complex analytical methods. ‘Statistics for Terrified Biologists’ has been just such a book - it was more than worth the I spent on it, and while my 'book clubs' aren't meant to be reviews, I highly recommend the book to anyone who's in a similar predicament to my own." –Carlo Artieri's Blog Book Club

The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods.

This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students.

For the first time basic methods are presented using straightforward, jargon-free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.

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