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Handbook of Statistics " #27: Handbook of Statistics: Epidemiology and Medical Statistics


Handbook of Statistics                                                                              " #27: Handbook of Statistics: Epidemiology and Medical Statistics Cover


Synopses & Reviews

Publisher Comments:

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

About the Author

C. R. Rao, born in India is one of this century's foremost statisticians, received his education in statistics at the Indian Statistical Institute (ISI), Calcutta. Rao is currently at Penn State as Eberly Professor of Statistics and Director of the Center for Multivariate Analysis. His research has influenced not only statistics, but also the physical, social and natural sciences and engineering.

Washington University School of Medicine, St. Louis, MO, USA

Table of Contents

1. Statistical Methods and Challenges in Epidemiology and Biomedical Research (Ross Prentice)

2. Statistical Inference for Causal Effects, with Emphasis on Applications in Epidemiology and Medical Statistics (Donald Rubin)

3. Epidemiological Study Designs (Kenneth Rothman, Sander Greenland, Timothy Lash)

4. Statistical Methods for Assessing Biomarkers and Analyzing Biomarker Data (Stephen Looney and Joseph Hagan)

5. Linear and Nonlinear Regression Methods in Epidemiology and Biostatistics (Charles McCulloch, David Glidden, Stephen Shiboski, Eric Vittinghoff)

6. Logistic Regression (Ed Spitznagel)

7. Count Response Regression Models (Joseph Hilbe and William Greene)

8. Mixed Models (Matthew Gurka and Lloyd Edwards)

9. Survival Analysis (John Klein and Meijie Zhang)

10. A Review of Statistical Analysis for Competing Risks (Melvin Moeschberger, Kevin Tordoff, Nidhi Kochar)

11. Cluster Analysis (Bill Shannon)

12. Factor Analysis and Related Methods (Carol Woods and Michael Edwards)

13. Structural Equations Modeling (Kentaro Hayashi, Peter Bentler, Ke-Hai Yuan)

14. Statistical Modeling in Biomedical Research: Longitudinal Data Analysis (Chengjie Xiong, Kejun Zhu, Kai Yu, Phil Miller)

15. Design and Analysis of Cross-Over Trials (Michael Kenward and Byron Jones)

16. Sequential and Group Sequential Designs in Clinical Trials: Guidelines for Practitioners (Madhu Mazumdar and Heejung Bang)

17. Early Phase Clinical Trials: Phase I and II (Feng Gao, Kim Trinkaus, Phil Miller)

18. Definitive Phase III and Phase IV Clinical Trials (Barry Davis and Sarah Baraniuk)

19. Incomplete Data in Epidemiology and Medical Statistics (Susanne Rassler, Donald Rubin, Elizabeth Zell)

20. Meta-Analysis (Ed Spitznagel)

21. The Multiple Comparison Issue in Health Care Research (Lemuel Moye)

22. Power: Establishing the Optimum Sample Size

(Richard Zeller and Yan Yan)

23. Statistical Learning in Medical Data Analysis

(Grace Wahba)

24. Evidence-Based Medicine and Medical Decision Making (Dan Mayer)

25. Estimation of Marginal Regression Models with Multiple Source Predictors (Heather Litman, Nicholas Horton, Bernardo Hernandez, Nan Laird)

26. Difference Equations with Public Health Applications (Asha Kapadia and Lemuel Moye)

27. The Bayesian Approach to Experimental Data Analysis (Bruno Lecoutre)

Product Details

Rao, C. R.
Miller, J. Philip
Miller, J. P.
Rao, D. C.
Probability & Statistics - General
Statistics as Topic.
Medical statistics
Mathematics | Probability and Statistics
Handbook of Statistics
Series Volume:
Publication Date:
9.45 x 6.5 in

Related Subjects

Health and Self-Help » Health and Medicine » Medical Specialties
History and Social Science » Sociology » General
Science and Mathematics » Chemistry » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Handbook of Statistics " #27: Handbook of Statistics: Epidemiology and Medical Statistics New Hardcover
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Product details 870 pages North-Holland - English 9780444528018 Reviews:
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