TY  - BOOK
AU  - Newman,Stephen C.
TI  - Biostatistical methods in epidemiology
T2  - Wiley series in probability and statistics
SN  - 0471461601
PY  - 2003///
CY  - New York
PB  - John Wiley & Sons
KW  - Epidemiology
KW  - Statistical methods
KW  - Cohort analysis
KW  - Biometry
KW  - Epidemiologic Methods
KW  - Cohort Studies
KW  - MEDICAL
KW  - Health Risk Assessment
KW  - bisacsh
KW  - fast
KW  - Electronic books
KW  - local
N1  - "A Wiley-Interscience publication."; BIBINDX; Introduction -- Measurement issues in epidemiology -- Binomial methods for single sample closed cohort data -- Odds ratio methods for unstratified closed cohort data -- Odds ratio methods for stratified closed cohort data -- Risk ratio methods for closed cohort data -- Risk difference methods for closed cohort data -- Survival analysis -- Kaplan-Meier and actuarial methods for censored survival data -- Poisson methods for censored survival data -- Odds ratio methods for case-control data -- Standardized rates and age-period-cohort analysis -- Life tables -- Sample size and power --Logistic regression and cox regression. Appendix A. Odds ratio inequality -- Appendix B. Maximum likelihood theory -- Appendix C. Hypergeometric and conditional poisson distributions -- Appendix D. Quadratic equation for the odds ratio -- Appendix E. Matrix identities and inequalities -- Appendix F. Survival analysis and life tables -- Appendix G. Confounding in open cohort and case-control studies -- Appendix H. Odds ratio estimate in a matched case-control study
N2  - An introduction to classical biostatistical methods in epidemiology. Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for usi
UR  - https://doi.org/10.1002/0471272612
ER  -