This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant. · Contributors are internationally renowned experts in their respective areas · Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research · Methods for assessing Biomarkers, analysis of competing risks · Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs · Structural equations modelling and longitudinal data analysis
Author(s): C.R. Rao, J. Philip Miller, D.C. Rao
Edition: 1
Publisher: North Holland
Year: 2007
Language: English
Pages: 871
Epidemiology and Medical Statistics......Page 4
Table of contents......Page 6
Preface......Page 14
Contributors......Page 15
1. Statistical Methods and Challenges in Epidemiology and Biomedical Research......Page 20
2. Statistical Inference for Causal Effects, With Emphasis on Applications in Epidemiology and Medical Statistics......Page 47
3. Epidemiologic Study Designs......Page 83
4. Statistical Methods for Assessing Biomarkers and Analyzing Biomarker Data......Page 128
5. Linear and Non-Linear Regression Methods in Epidemiology and Biostatistics......Page 167
6. Logistic Regression......Page 206
7. Count Response Regression Models......Page 229
8. Mixed Models......Page 272
9. Survival Analysis......Page 300
10. A Review of Statistical Analyses for Competing Risks......Page 340
11. Cluster Analysis......Page 361
12. Factor Analysis and Related Methods......Page 386
13. Structural Equation Modeling......Page 414
14. Statistical Modeling in Biomedical Research: Longitudinal Data Analysis......Page 448
15. Design and Analysis of Cross-Over Trials......Page 483
16. Sequential and Group Sequential Designs in Clinical Trials: Guidelines for Practitioners......Page 510
17. Early Phase Clinical Trials: Phases I and II......Page 532
18. Definitive Phase III and Phase IV Clinical Trials......Page 564
19. Incomplete Data in Epidemiology and Medical Statistics......Page 588
20. Meta-Analysis......Page 621
21. The Multiple Comparison Issue in Health Care Research......Page 635
22. Power: Establishing the Optimum Sample Size......Page 675
23. Statistical Learning in Medical Data Analysis......Page 698
24. Evidence Based Medicine and Medical Decision Making......Page 731
25. Estimation of Marginal Regression Models with Multiple Source Predictors......Page 749
26. Difference Equations with Public Health Applications......Page 766
27. The Bayesian Approach to Experimental Data Analysis......Page 794
Subject Index......Page 831
Handbook of Statistics: Contents of Previous Volumes......Page 842
