Statistical Methods for the Analysis of Biomedical Data (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
720
Utgivningsdatum
2002-06-01
Upplaga
2 ed
Förlag
Wiley-Interscience
Medarbetare
Clarke, William R.
Illustrationer
Charts: 54 B&W, 0 Color; Tables: 335 B&W, 0 Color; Graphs: 87 B&W, 0 Color
Dimensioner
242 x 155 x 38 mm
Vikt
1090 g
Antal komponenter
1
ISBN
9780471394051

Statistical Methods for the Analysis of Biomedical Data

Inbunden,  Engelska, 2002-06-01
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The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance. * Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.
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Recensioner i media

"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 usefulI 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)

Övrig information

ROBERT F. WOOLSON, PhD, is a Professor of Biostatistics and Associate Dean for Research at the University of Iowa College of Public Health. WILLIAM R. CLARKE, PhD, is a Professor of Biostatistics at the University of Iowa College of Public Health.

Innehållsförteckning

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