05637nam 2200733Ia 450 991101973330332120200520144314.09786612345791978047074078104707407879781282345799128234579697804700249110470024917(CKB)1000000000579448(EBL)406482(SSID)ssj0000108978(PQKBManifestationID)11132778(PQKBTitleCode)TC0000108978(PQKBWorkID)10045503(PQKB)10017534(MiAaPQ)EBC406482(OCoLC)299046795(Perlego)2751991(EXLCZ)99100000000057944820080902d2008 uy 0engur|n|---|||||txtccrBasic biostatistics for geneticists and epidemiologists a practical approach /Robert C. Elston, William D. JohnsonChichester, U.K. John Wiley & Sons20081 online resource (385 p.)Description based upon print version of record.9780470024898 0470024895 9780470024904 0470024909 Includes bibliographical references and index.Basic Biostatistics for Geneticists and Epidemiologists; CONTENTS; PREFACE; 1 INTRODUCTION: THE ROLE AND RELEVANCE OF STATISTICS, GENETICS AND EPIDEMIOLOGY IN MEDICINE; Why Biostatistics?; What Exactly Is (Are) Statistics?; Reasons for Understanding Statistics; What Exactly is Genetics?; What Exactly is Epidemiology?; How Can a Statistician Help Geneticists and Epidemiologists?; Disease Prevention versus Disease Therapy; A Few Examples: Genetics, Epidemiology and Statistical Inference; Summary; References; 2 POPULATIONS, SAMPLES, AND STUDY DESIGN; The Study of Cause and EffectPopulations, Target Populations and Study UnitsProbability Samples and Randomization; Observational Studies; Family Studies; Experimental Studies; Quasi-Experimental Studies; Summary; Further Reading; Problems; 3 DESCRIPTIVE STATISTICS; Why Do We Need Descriptive Statistics?; Scales of Measurement; Tables; Graphs; Proportions and Rates; Relative Measures of Disease Frequency; Sensitivity, Specificity and Predictive Values; Measures of Central Tendency; Measures of Spread or Variability; Measures of Shape; Summary; Further Reading; Problems; 4 THE LAWS OF PROBABILITY; Definition of ProbabilityThe Probability of Either of Two Events: A or BThe Joint Probability of Two Events: A and B; Examples of Independence, Nonindependence and Genetic Counseling; Bayes' Theorem; Likelihood Ratio; Summary; Further Reading; Problems; 5 RANDOM VARIABLES AND DISTRIBUTIONS; Variability and Random Variables; Binomial Distribution; A Note about Symbols; Poisson Distribution; Uniform Distribution; Normal Distribution; Cumulative Distribution Functions; The Standard Normal (Gaussian) Distribution; Summary; Further Reading; Problems; 6 ESTIMATES AND CONFIDENCE LIMITS; Estimates and EstimatorsNotation for Population Parameters, Sample Estimates, and Sample EstimatorsProperties of Estimators; Maximum Likelihood; Estimating Intervals; Distribution of the Sample Mean; Confidence Limits; Summary; Problems; 7 SIGNIFICANCE TESTS AND TESTS OF HYPOTHESES; Principle of Significance Testing; Principle of Hypothesis Testing; Testing a Population Mean; One-Sided versus Two-Sided Tests; Testing a Proportion; Testing the Equality of Two Variances; Testing the Equality of Two Means; Testing the Equality of Two Medians; Validity and Power; Summary; Further Reading; Problems8 LIKELIHOOD RATIOS, BAYESIAN METHODS AND MULTIPLE HYPOTHESESLikelihood Ratios; Bayesian Methods; Bayes' Factors; Bayesian Estimates and Credible Intervals; The Multiple Testing Problem; Summary; Problems; 9 THE MANY USES OF CHI-SQUARE; The Chi-Square Distribution; Goodness-of-Fit Tests; Contingency Tables; Inference About the Variance; Combining p-Values; Likelihood Ratio Tests; Summary; Further Reading; Problems; 10 CORRELATION AND REGRESSION; Simple Linear Regression; The Straight-Line Relationship When There is Inherent Variability; Correlation; Spearman's Rank CorrelationMultiple RegressionAnyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book:Surveys basic statistical methods useMedical statisticsMedical geneticsStatistical methodsEpidemiologyStatistical methodsMedical statistics.Medical geneticsStatistical methods.EpidemiologyStatistical methods.570.15195 22610.72Elston Robert C.1932-508215Johnson William Davis1941-1838335MiAaPQMiAaPQMiAaPQBOOK9911019733303321Basic biostatistics for geneticists and epidemiologists4417299UNINA02087nam 22005653 450 991098781860332120251129110037.0978042920255104292025559780429514593042951459X(MiAaPQ)EBC31727511(Au-PeEL)EBL31727511(CKB)38002301200041(NjHacI)9938002301200041(OCoLC)1512318138(ODN)ODN0011263959(EXLCZ)993800230120004120250323d2025 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierField Experiments in Economics History and Methodology1st ed.2025Oxford :Taylor & Francis Group,2025.©2025.1 online resource (136 pages)Routledge Studies in the History of Economics Series9780367194642 0367194643 Includes bibliographical references and index.1 Introduction -- 2 Types and goals of economics experiments -- 3 Two historical strands -- 4 External Validity: Methodological Issues and Practices -- 5 Bringing two strands together -- 6 Participatory Experiments, or Constructing the field -- 7 Conclusion -- Bibliography -- Index.This book adopts an integrated history and philosophy of science approach to consider the historical origins and methodological pitfalls of field experiments in economics.Routledge Studies in the History of Economics SeriesEconomicsMethodologyEconomicsMethodology.330.0724BUS000000BUS068000BUS069000bisacshFavereau Judith1285211Nagatsu Michiru1801932MiAaPQMiAaPQMiAaPQBOOK9910987818603321Field Experiments in Economics4347406UNINA