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Statistical Methods for the Analysis of Biomedical Data
Robert F. Woolson (Author), William R. Clarke (Author)
9780471394051, Wiley
Hardback, published 12 June 2002
720 pages, Charts: 54 B&W, 0 Color; Tables: 335 B&W, 0 Color; Graphs: 87 B&W, 0 Color
23.7 x 16.1 x 3.8 cm, 1.08 kg
"…useful in a course in biostatistics." (Journal of Statistical Computation and Simulation, September 2005) "...a nice overview of statistical topics...an excellent book to have...highly recommend this book for students and researchers..." (Statistical Methods in Medical Research, Vol 13, 2004) "…interesting and useful…I recommend it as an addition to your statistical library, and if you already own the first edition, it would be worthwhile to update it." (The American Statistician, Vol. 58, No. 2, May 2004)
Dieser Band behandelt eine Reihe statistischer Themen, die bei der Analyse biologischer und medizinischer Daten allgemein Anwendung finden. Diese 2. Auflage wurde komplett überarbeitet, aktualisiert und erweitert. Einige Kapitel sind neu hinzugekommen, u.a. zur multiplen linearen Regression in der biomedizinischen Forschung. Der Stoff ist so gegliedert, dass der Leser den Text unabhängig von der jeweiligen statistischen Methode leicht nach Problemstellungen durchsuchen kann. Mit zahlreichen durchgearbeiteten Beispielen, die detaillierte Lösungsangaben zu Problemen aus der Praxis liefern.
Dedication v Preface to the 1987 Edition xvii Preface to the 2002 Edition xxi Acknowledgment xxiii 1 Introduction 1 2 Descriptive Statistics 9 3 Basic Probability Concepts 49 4 Further Aspects of Probability 79 5 Confidence Intervals and Hypothesis Testing: General Considerations and Applications 119 6 Comparison of Two Groups: t-Tests and Rank Tests Introduction 151 7 Comparison of Two Groups: Chi-Square and Related Procedures 217 8 Tests of Independence and Measures of Association for Two Random Variables 263 9 Least-Squares Regression Methods: Predicting One Variable from Another 307 10 Comparing More than Two Groups Observations: Analysis of Variance for Comparing Groups 359 11 Comparing More than Two Groups of Observations: Rank Analysis of Variance for Group Comparisons 417 12 Comparing More than Two Groups of Observations: Chi-Square and Related Procedures 441 13 Special Topics in Analysis of Epidemiologic and Clinical Data: Studying Association between a Disease and a Characteristic 461 14 Estimation and Comparison of Survival Curves 509 15 Multiple Linear Regression Methods: Predicting One Variable from Two or More Other Variables 541 Appendix 623 Topic Index 673
Subject Areas: Mathematics [PB]
