Lybrary.com ebooks
http://www.lybrary.com/index.php?cPath=1167
© 2016 Lybrary.com- Statistical Methods in Longitudinal Research: Time Series and Categorical Longitudinal DataThese edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.http://www.lybrary.com/statistical-methods-in-longitudinal-research-time-series-and-categorical-longitudinal-data-p-812166.htmlhttp://www.lybrary.com/statistical-methods-in-longitudinal-research-time-series-and-categorical-longitudinal-data-p-812166.htmlMon, 01 Feb 2016 20:01:00 EST
- Statistical Methods in Longitudinal Research: Principles and Structuring ChangeThese edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.http://www.lybrary.com/statistical-methods-in-longitudinal-research-principles-and-structuring-change-p-812165.htmlhttp://www.lybrary.com/statistical-methods-in-longitudinal-research-principles-and-structuring-change-p-812165.htmlMon, 01 Feb 2016 20:00:58 EST
- Schaum's Outline of Elements of Statistics II: Inferential Statistics<p>Picking up where <i>Elements of Statistics I</i> leaves off, this study guide clearly explains discrete probability distribution, including normal, continuing, sampling, and other distributions. The practical, cross-referenced problems throughout are drawn from such fields as anthropology, biology, business, government, medecine, psychology and sociology, and the solutions are fully explained. A perfect supplement to the leading textbooks, students will also find this book ideal for independent study. Supplementary questions aid self-testing.</p>http://www.lybrary.com/schaums-outline-of-elements-of-statistics-ii-inferential-statistics-p-797067.htmlhttp://www.lybrary.com/schaums-outline-of-elements-of-statistics-ii-inferential-statistics-p-797067.htmlWed, 02 Dec 2015 21:30:58 EST
- Statistical Misconceptions: Classic Edition<p>This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website.</p><p>The author's accessible discussion of each misconception has five parts:</p><I><p>The Misconception</I> - a brief description of the misunderstanding</p><I><p>Evidence that the Misconception Exists</I> - examples and claimed prevalence</p><I><p>Why the Misconception is Dangerous</I> - consequence of having the misunderstanding</p><I><p>Undoing the Misconception</I> - how to think correctly about the concept</p><I><p>Internet Assignment</I> - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception.</p><p>The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook.</p><B></B><p>An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.</p>http://www.lybrary.com/statistical-misconceptions-classic-edition-p-792690.htmlhttp://www.lybrary.com/statistical-misconceptions-classic-edition-p-792690.htmlSat, 21 Nov 2015 15:01:49 EST
- The Gallup Poll: Public Opinion 2014<span><span>As the only complete compilation of polls taken by the Gallup Organization, </span><span style="font-style:italic;">The Gallup Poll</span><span> is an invaluable tool for ascertaining the pulse of American public opinion throughout the year and for documenting changing perceptions over time of crucial core issues.<br /><br /></span></span>http://www.lybrary.com/the-gallup-poll-public-opinion-2014-p-789078.htmlhttp://www.lybrary.com/the-gallup-poll-public-opinion-2014-p-789078.htmlThu, 12 Nov 2015 23:31:57 EST
- Veterans in the United States: Statistics and Resources<span><span style="font-style:italic;">Veterans in the United States: Statistics and Resources</span><span> presents the most pertinent and compelling statistics in one easy-to-follow, useful, and informative volume. Data related to veterans is scattered between federal departments. This volume??s mission is to present the most pertinent and compelling statistics in one easy-to-follow, useful, and informative volume. </span></span>http://www.lybrary.com/veterans-in-the-united-states-statistics-and-resources-p-789070.htmlhttp://www.lybrary.com/veterans-in-the-united-states-statistics-and-resources-p-789070.htmlThu, 12 Nov 2015 23:01:59 EST
- Justice Statistics: An Extended Look at Crime in the United States<span><span>An exciting, new special edition of </span><span style="font-style:italic;">Crime in the United States</span><span>, </span><span style="font-style:italic;">Justice Statistics:</span><span style="font-style:italic;">An Extended Look at Crime in the United States</span><span> provides an extended look at the crimes covered and reported by the Federal Bureau of Investigation (FBI). </span></span>http://www.lybrary.com/justice-statistics-an-extended-look-at-crime-in-the-united-states-p-787065.htmlhttp://www.lybrary.com/justice-statistics-an-extended-look-at-crime-in-the-united-states-p-787065.htmlSun, 08 Nov 2015 06:31:56 EST
- IBM SPSS for Introductory Statistics: Use and Interpretation, Fifth Edition<p>Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems.</p><B><p>The new edition features:</p><UL></B><li>Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS. </LI> <LI>A new chapter (7) including an introduction to Cronbach's alpha and factor analysis.</LI> <LI>Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students. The web resource is located www.routledge.com/9781848729827 .</LI> <LI>Students, instructors, and individual purchasers can access the data files to accompany the book at www.routledge.com/9781848729827 .</LI></UL><B><I><p>IBM SPSS for Introductory Statistics, Fifth Edition</I> provides helpful teaching tools:</p><UL></B><li>All of the key IBM SPSS windows needed to perform the analyses.</LI> <LI>Complete outputs with call-out boxes to highlight key points.</LI> <LI>Flowcharts and tables to help select appropriate statistics and interpret effect sizes.</LI> <LI>Interpretation sections and questions help students better understand and interpret the output. </LI> <LI>Assignments organized the way students proceed when they conduct a research project.</LI> <LI>Examples of how to write about outputs and make tables in APA format.</LI> <LI>Helpful appendices on how to get started with SPSS and write research questions.<STRIKE> </LI></UL></STRIKE><p>An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, such as in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers interested in using SPSS for their data analysis.</p>http://www.lybrary.com/ibm-spss-for-introductory-statistics-use-and-interpretation-fifth-edition-p-786100.htmlhttp://www.lybrary.com/ibm-spss-for-introductory-statistics-use-and-interpretation-fifth-edition-p-786100.htmlThu, 05 Nov 2015 23:32:03 EST
- Latent Variable Modeling with RThis book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the model, and other statistical details to help readers better understand the models and interpret the results. Every R command necessary for conducting the analyses is described along with the resulting output which provides readers with a template to follow when they apply the methods to their own data. The basic information pertinent to each model, the newest developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested readings. A glossary of the text's boldfaced key terms and key R commands serve as helpful resources. The book is accompanied by a website with exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data providing a more realistic situation readers will encounter with their own data. -Reviews a wide range of LVMs including factor analysis, structural equation modeling, item response theory, and mixture models and advanced topics such as fitting nonlinear structural equation models, nonparametric item response theory models, and mixture regression models. -Demonstrates how data simulation can help researchers better understand statistical methods and assist in selecting the necessary sample size prior to collecting data. -www.routledge.com/9780415832458 provides exercises that apply the models along with annotated R output answer keys and the data that corresponds to the in-text examples so readers can replicate the results and check their work. The book opens with basic instructions in how to use R to read data, download functions, and conduct basic analyses. From there, each chapter is dedicated to a different latent variable model including exploratory and confirmatory factor analysis (CFA), structural equation modeling (SEM), multiple groups CFA/SEM, least squares estimation, growth curve models, mixture models, item response theory (both dichotomous and polytomous items), differential item functioning (DIF), and correspondance analysis. ?The book concludes with a discussion of how data simulation can be used to better understand the workings of a statistical method and assist researchers in deciding on the necessary sample size prior to collecting data.? A mixture of independently developed R code along with available libraries for simulating latent models in R are provided so readers can use these simulations to analyze data using the methods introduced in the previous chapters. Intended for use in graduate or advanced undergraduate courses in latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, and social and health sciences, researchers in these fields also appreciate this book's practical approach. The book provides sufficient conceptual background information to serve as a standalone text.? Familiarity with basic statistical concepts is assumed but basic knowledge of R ihttp://www.lybrary.com/latent-variable-modeling-with-r-p-755118.htmlhttp://www.lybrary.com/latent-variable-modeling-with-r-p-755118.htmlThu, 27 Aug 2015 14:02:24 EDT
- Handbook of Advanced Multilevel Analysis<p>This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book's website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion.</p><p>Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book's concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis.</p><p>Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.</p>http://www.lybrary.com/handbook-of-advanced-multilevel-analysis-p-737325.htmlhttp://www.lybrary.com/handbook-of-advanced-multilevel-analysis-p-737325.htmlSat, 18 Jul 2015 08:02:09 EDT
- Planning for Diversity: Policy and Planning in a World of DifferenceThe practical importance of diversity and equality for spatial planning and sustainable development is still not widely understood. Using international examples, this book shows planners and educationalists the benefits of building in a consideration of diversity and equality at each stage and level of planning.<p>Despite being one of the most diverse and gender balanced of the built environment professions, complacency has been widespread in planning. This book shows why a diverse profession is important and drawing on a wide range of good practice, shows how those involved in planning can develop their sensitivity to and expertise in diversity and equality.http://www.lybrary.com/planning-for-diversity-policy-and-planning-in-a-world-of-difference-p-736977.htmlhttp://www.lybrary.com/planning-for-diversity-policy-and-planning-in-a-world-of-difference-p-736977.htmlFri, 17 Jul 2015 13:01:19 EDT
- Measuring and Communicating Security's Value: A Compendium of Metrics for Enterprise Protection<p>In corporate security today, while the topic of information technology (IT) security metrics has been extensively covered, there are too few knowledgeable contributions to the significantly larger field of global enterprise protection. <i>Measuring and Communicating Security's Value</i> addresses this dearth of information by offering a collection of lessons learned and proven approaches to enterprise security management.</p><p>Authored by George Campbell, emeritus faculty of the Security Executive Council and former chief security officer of Fidelity Investments, this book can be used in conjunction with <i>Measures and Metrics in Corporate Security</i>, the foundational text for security metrics.<i>Â </i>This book builds on that foundation and covers the why, what, and how of a security metrics program, risk reporting, insider risk, building influence, business alignment, and much more.</p><p><ul><li>Emphasizes the importance of measuring and delivering actionable results</li><li>Includes real world, practical examples that may be considered, applied, and tested across the full scope of the enterprise security mission</li><li>Organized to build on a principal theme of having metrics that demonstrate the security department's value to the corporation</p></li></ulhttp://www.lybrary.com/measuring-and-communicating-securitys-value-a-compendium-of-metrics-for-enterprise-protection-p-694882.htmlhttp://www.lybrary.com/measuring-and-communicating-securitys-value-a-compendium-of-metrics-for-enterprise-protection-p-694882.htmlFri, 03 Apr 2015 19:02:13 EDT
- Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis* Serves as a valuable reference tool for both the student and the law enforcement professional<br>* Contains practical information used in real-life law enforcement situations<br>* Approach is very user-friendly, conveying sophisticated analyses in practical termshttp://www.lybrary.com/data-mining-and-predictive-analysis-intelligence-gathering-and-crime-analysis-p-668282.htmlhttp://www.lybrary.com/data-mining-and-predictive-analysis-intelligence-gathering-and-crime-analysis-p-668282.htmlFri, 02 Jan 2015 09:02:20 EST
- Factor Analysis: Classic Edition<p>Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use.</p><p>Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the "inner workings" of these methods. The new<I> Introduction</I> highlights the remarkably few changes that the author would make if he were writing the book today.</p><p>An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book's thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred.</p>http://www.lybrary.com/factor-analysis-classic-edition-p-651007.htmlhttp://www.lybrary.com/factor-analysis-classic-edition-p-651007.htmlFri, 28 Nov 2014 12:02:36 EST
- Campus Sex Assaults: A Year-Long Investigation of Midwestern CollegesIn September 2010, St. Mary's College freshman Elizabeth "Lizzy" Seeberg was found dead, a victim of an apparent suicide from prescription medication, mere days after alleging she had been sexually attacked by a Notre Dame football player. Starting in November of that year, the <I>Chicago Tribune</I> began reporting on this case that was up until that point not publicly acknowledged by the University of Notre Dame. Over the course of the next year, <I>Tribune</I> journalists and investigators produced a series of articles focusing on this case&mdash;and the cases of other sexual assault victims on Midwestern university campuses7mdash;leading to new investigations and subsequent reforms at schools across the region.<p><I>Campus Sexual Assaults</I> is a gripping and important piece of investigative journalism, revealing disturbing primary materials from cases and shocking personal interviews with the victims. The yearlong investigation shed light on the antiquated and obfuscated reporting and prosecuting practices of major Midwest colleges and universities, going so far as to discover that Notre Dame campus authorities did not even promptly investigate the alleged assault that occurred days before Lizzy Seeberg's death. <I>Campus Sexual Assaults</I> goes on to investigate similar trends in under-reporting and under-prosecuting sexual assaults on campuses across the country.<p>Part 1 of <I>Campus Sexual Assaults</I> reports on the Seeberg case as it unfolded, and ends with the county prosecutor's decision that there would be no charges, since the victim's death made her statements inadmissible in court. Part 2 has a wider focus, as the <I>Tribune</I> reports on another similar attack at Notre Dame and a survey finding that few people accused of sexual violence on college campuses are ever convicted. Part 3 deals with reforms at Notre Dame and similar problems at Marquette University.<p>The powerful stories told in <I>Campus Sexual Assaults</I> by the survivors and families victimized by these attacks are moving as much as they can be upsetting. After months of reporting and research on the Seeberg case and others like it, the <I>Tribune's</I> investigations sparked new legal investigations and subsequent reforms at the campuses in question. This collection of articles and investigative reports is a touching, in-depth look at an endemic problem at universities across America and should be required reading for not only campus and sexual health educators, but for university audiences and concerned readers everywhere.http://www.lybrary.com/campus-sex-assaults-a-yearlong-investigation-of-midwestern-colleges-p-630377.htmlhttp://www.lybrary.com/campus-sex-assaults-a-yearlong-investigation-of-midwestern-colleges-p-630377.htmlMon, 17 Nov 2014 11:32:43 EST
- Within Our ReachIn this solidly researched book, the authors demonstrate that the knowledge and techniques exist to decrease the incidence of welfare dependency, poor single-parent families and alienated, uneducated youth. In addition to providing a detailed account of the problem, they describe twenty-four programs that have proved successful in changing the lives of seriously disadvantaged children.<p><br><i>From the Trade Paperback edition.</i>http://www.lybrary.com/within-our-reach-p-591762.htmlhttp://www.lybrary.com/within-our-reach-p-591762.htmlWed, 29 Oct 2014 18:06:11 EDT
- Dataclysm: Who We Are (When We Think No One's Looking)<b><b>A <i>New York Times</i> Bestseller</b><p>An audacious, irreverent investigation of human behavior&mdash;and a first look at a revolution in the making</b><p>Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don't need. In <i>Dataclysm</i>, Christian Rudder uses it to show us who we truly are.<p>For centuries, we've relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.<p>In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person's sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America's most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don't think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.<p>Visually arresting and full of wit and insight, <i>Dataclysm</i> is a new way of seeing ourselves&mdash;a brilliant alchemy, in which math is made human and numbers become the narrative of our time.<p>http://www.lybrary.com/dataclysm-who-we-are-when-we-think-no-ones-looking-p-587050.htmlhttp://www.lybrary.com/dataclysm-who-we-are-when-we-think-no-ones-looking-p-587050.htmlMon, 27 Oct 2014 15:03:55 EDT
- An Introduction to Probability and Statistical InferenceProbability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly collected, analyzed and interpreted in order for the results to be used with confidence.<p>Award-winning author George Roussas introduces readers with no prior knowledge in probability or statistics to a thinking process to guide them toward the best solution to a posed question or situation. <i><b>An Introduction to Probability and Statistical Inference</b></i> provides a plethora of examples for each topic discussed, giving the reader more experience in applying statistical methods to different situations.<p><ul><br><ul></ul><li>Content, examples, an enhanced number of exercises, and graphical illustrations where appropriate to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities</li><li>Reorganized material in the statistical portion of the book to ensure continuity and enhance understanding</li><li>A relatively rigorous, yet accessible and always within the prescribed prerequisites, mathematical discussion of probability theory and statistical inference important to students in a broad variety of disciplines</li><li>Relevant proofs where appropriate in each section, followed by exercises with useful clues to their solutions</li><li>Brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises available to instructors in an Answers Manual</li></ul>http://www.lybrary.com/an-introduction-to-probability-and-statistical-inference-p-581127.htmlhttp://www.lybrary.com/an-introduction-to-probability-and-statistical-inference-p-581127.htmlWed, 22 Oct 2014 22:21:50 EDT
- Applied Crime Analysis: A Social Science Approach to Understanding Crime, Criminals, and Victims<p>Most approaches to crime analysis focus on geographical crime mapping, which is helpful in identifying crime clusters and allocating police resources, but does not explain why a particular crime took place. <i>Applied Crime Analysis </i>presents a model that brings statistical anchoring, behavioral psychopathology, and victimology from the social sciences together with physical and crime scene evidence to provide a complete picture of crime. This hands-on guide takes theoretical principles and demonstrates how they can be put into practice using real case examples. In addition to covering key topics such as staged crime scenes, false reports, and criminal motivations, the book's includes a final chapter on report writing, showing readers how to use their findings to successfully advance to prosecution and succeed in court.</p><p><ul><li>Presents a model that takes social science concepts, including statistical anchoring, behavioral psychopathology, and victimologyÃ‚Â andÃ‚Â connects them with crime sceneÃ‚Â evidence to examine andÃ‚Â analyze crime</li><li>Puts crime analysis theory into practice withÃ‚Â real-world examplesÃ‚Â highlighting important concepts and best practice</li><li>Includes a report writing chapter to demonstrate how this approach can strengthen criminal cases and succeed in court</li><li>Instructor materials include a Test Bank, Powerpoint lecture slides, and Instructor's Guide for each chapter</lihttp://www.lybrary.com/applied-crime-analysis-a-social-science-approach-to-understanding-crime-criminals-and-victims-p-571935.htmlhttp://www.lybrary.com/applied-crime-analysis-a-social-science-approach-to-understanding-crime-criminals-and-victims-p-571935.htmlSat, 11 Oct 2014 00:18:04 EDT
- Sample Size MethodologyOne of the most important problems in designing an experiment or a survey is sample size determination and this book presents the currently available methodology. It includes both random sampling from standard probability distributions and from finite populations. Also discussed is sample size determination for estimating parameters in a Bayesian setting by considering the posterior distribution of the parameter and specifying the necessary requirements. The determination of the sample size is considered for ranking and selection problems as well as for the design of clinical trials. Appropriate techniques for attacking the general question of sample size determination in problems of estimation, tests of hypotheses, selection, and clinical trial design are all presented, and will help the reader in formulating an appropriate problem of sample size and in obtaining the solution. The book can be used as a text in a senior-level or a graduate course on sample size methodology.<p>Annotated list of tables in appendixSupplemental problems at the end of bookhttp://www.lybrary.com/sample-size-methodology-p-537764.htmlhttp://www.lybrary.com/sample-size-methodology-p-537764.htmlSun, 24 Aug 2014 23:07:52 EDT