Methods and Applications of Statistics in the Life and Health Sciences
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Methods and Applications of Statistics in the Life and Health Sciences: (Methods and Applications of Statistics)

Methods and Applications of Statistics in the Life and Health Sciences: (Methods and Applications of Statistics)


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About the Book

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as  a single, one-of-a-kind resource on the wide range of statistical methods, techniques, and applications that are applied in modern life and health sciences in research. Specially designed to present encyclopedic content in an accessible and self-contained format, this book outlines thorough coverage of the underlying theory and standard applications to research in related disciplines such as biology, epidemiology, clinical trials, and public health. Uniquely combining established literature with cutting-edge research, this book contains classical works and more than twenty-five new articles and completely revised contributions from the acclaimed Encyclopedia of Statistical Sciences, Second Edition. The result is a compilation of more than eighty articles that explores classic methodology and new topics, including: Sequential methods in biomedical research Statistical measures of human quality of life Change-point methods in genetics Sample size determination for clinical trials Mixed-effects regression models for predicting pre-clinical disease Probabilistic and statistical models for conception Statistical methods are explored and applied to population growth, disease detection and treatment, genetic and genomic research, drug development, clinical trials, screening and prevention, and the assessment of rehabilitation, recovery, and quality of life. These topics are explored in contributions written by more than 100 leading academics, researchers, and practitioners who utilize various statistical practices, such as election bias, survival analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its combination of traditional methodology and newly developed research, Methods and Applications of Statistics in the Life and Health Sciences has everything students, academics, and researchers in the life and health sciences need to build and apply their knowledge of statistical methods and applications.

Table of Contents:
Preface v Contributors vii 1 Aalen’s Additive Risk Model 1 2 Aggregation 9 3 AIDS Stochastic Models 15 4 All-or-None Compliance 37 5 Ascertainment Sampling 43 6 Assessment Bias 47 7 Bioavailability and Bioequivalence 53 8 Cancer Stochastic Models 61 9 Centralized Genomic Control: A Simple Approach Correcting for Population Structures in Case-Control Association Studies 81 10 Change Point Methods in Genetics 95 11 Classical Biostatistics 117 12 Clinical Trials-II 131 13 Cluster Randomization 143 14 Cohort Analysis 157 15 Comparisons with a Control 167 16 Competing Risks 179 17 Countermatched Sampling 189 18 Counting Processes 193 19 Cox’s Proportional Hazards Model 203 20 Crossover Trials 215 21 Design and Analysis for Repeated Measurements 225 22 DNA Fingerprinting 259 23 Epidemics 269 24 Epidemiological Statistics I 279 25 Epidemiological Statistics II 299 26 Event History Analysis 319 27 FDA Statistical Programs: An Overview 329 28 FDA Statistical Programs: Human Drugs 335 29 Follow-Up 343 30 Frailty Models 349 31 Framingham: An Evolving Longitudinal Study 353 32 Genetic Linkage 359 33 Group-Sequential Methods in Biomedical Research 365 34 Group-Sequential Tests 377 35 Grouped Data in Survival Analysis 391 36 Image Processing 397 37 Image Restoration and Reconstruction 415 38 Imputation and Multiple Imputation 425 39 Incomplete Data 441 40 Interval Censoring 451 41 Interrater Agreement 461 42 Kaplan-Meier Estimator I 481 43 Kaplan-Meier Estimator II 489 44 Landmark Data 501 45 Longitudinal Data Analysis 515 46 Meta-Analysis 531 47 Missing Data: Sensitivity Analysis 535 48 Multiple Testing in Clinical Trials 547 49 Mutation Processes 555 50 Nested Case-Control Sampling 559 51 Observational Studies 567 52 One- and Two-Armed Bandit Problems 573 53 Opthalmology 579 54 Panel Count Data 585 55 Planning and Analysis of Group-Randomized Trials 605 56 Predicting Preclinical Disease Using the Mixed-Effects Regression Model 613 57 Predicting Random Effects in Group-Randomized Trials 635 58 Probabilistic and Statistical Models for Conception 647 59 Probit Analysis 669 60 Prospective Studies 677 61 Quality Assessment for Clinical Trials 683 62 Repeated Measurements 695 63 Reproduction Rates 709 64 Retrospective Studies 713 65 Sample Size Determination for Clinical Trials 719 66 Scan Statistics 733 67 Semiparametric Analysis of Competing-Risk Data 749 68 Size and Shape Analysis 769 69 Stability Study Designs 781 70 Statistical Analysis of DNA Microarray Data 795 71 Statistical Genetics 801 72 Statistical Methods in Bioassay 807 73 Statistical Modeling of Human Fecundity 815 74 Statistical Quality of Life 839 75 Statistics at CDC 865 76 Statistics in Dentistry 871 77 Statistics in Evolutionary Genetics 873 78 Statistics in Forensic Science 879 79 Statistics in Human Genetics I 887 80 Statistics in Human Genetics II 893 81 Statistics in Medical Diagnosis 909 82 Statistics in Medicine 915 83 Statistics in the Pharmaceutical Industry 927 84 Statistics in Spatial Epidemiology 933 85 Stochastic Compartment Models 939 86 Surrogate Markers 945 87 Survival Analysis 953 Index 967

About the Author :
N. Balakrishnan, PhD, is Professor in the Department of Mathematics and Statistics at McMaster University, Canada. Dr. Balakrishnan is coeditor of Wiley's Encyclopedia of Statistical Sciences, Second Edition and also serves as Editor in Chief of Communications in Statistics. A Fellow of the American Statistical Association and the Institute of Mathematical Statistics, Dr. Balakrishnan is the coauthor of Precedence-Type Tests and Applications and A Primer on Statistical Distributions, both published by Wiley.

Review :
"The well-written and authoritative articles come from an impressive list of experts in their fields." (CHOICE, 2010)  


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Product Details
  • ISBN-13: 9780470405093
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: John Wiley & Sons Inc
  • Height: 259 mm
  • No of Pages: 1024
  • Returnable: N
  • Spine Width: 41 mm
  • Width: 188 mm
  • ISBN-10: 0470405090
  • Publisher Date: 12 Jan 2010
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Series Title: Methods and Applications of Statistics
  • Weight: 1728 gr


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