Epidemiology and medical statistics /

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 quantitativ...

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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Rao, C. Radhakrishna (Calyampudi Radhakrishna), 1920-2023 (Editor), Miller, J. Philip, 1943- (Editor), Rao, D. C. (Dabeeru C.) (Editor)
Format: Electronic eBook
Language:Inglés
Published: Amsterdam ; Boston : Elsevier, 2008.
Edition:1st ed.
Series:Handbook of statistics (Amsterdam, Netherlands) ; v. 27.
Subjects:
Epidemiology > Statistical methods.
Medical statistics.
Statistics.
Biometry.
Epidemiologic Methods
Statistics as Topic
Biometry
Epidemiologic Research Design
�Epid�emiologie > M�ethodes statistiques.
Statistique m�edicale.
Statistiques.
Biom�etrie.
Statistique.
biometrics.
statistics.
MEDICAL > Health Risk Assessment.
MEDICAL > Epidemiology.
Statistics
Epidemiology > Statistical methods
Medical statistics
Epidemiologie.
Statistische methoden.
Geneeskunde.
Electronic books.
Online Access:Texto completo
Texto completo
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).

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