Buch, Englisch, 352 Seiten, Format (B × H): 165 mm x 244 mm, Gewicht: 653 g
Buch, Englisch, 352 Seiten, Format (B × H): 165 mm x 244 mm, Gewicht: 653 g
ISBN: 978-0-8493-9444-7
Verlag: CRC Press
Epidemiologic studies provide research strategies for investigating public health and scientific questions relating to the factors that cause and prevent ailments in human populations. Statistics in Epidemiology: Methods, Techniques and Applications presents a comprehensive review of the wide range of principles, methods and techniques underlying prospective, retrospective and cross-sectional approaches to epidemiologic studies. Written for epidemiologists and other researchers without extensive backgrounds in statistics, this new book provides a clear and concise description of the statistical tools used in epidemiology. Emphasis is given to the application of these statistical tools, and examples are provided to illustrate direct methods for applying common statistical techniques in order to obtain solutions to problems. Statistics in Epidemiology: Methods, Techniques and Applications goes beyond the elementary material found in basic epidemiology and biostatistics books and provides a detailed account of techniques:
Zielgruppe
All graduate students and professionals in biostatistics, public health, and epidemiology.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
PrefaceIntroductionTypes of Epidemiologic Study DesignsProspective vs. Retrospective Study Designs. Cross-Sectional vs. Longitudinal Studies. A Note on Terminology. The Measurement of Effect. Design-Based vs. Model-Based Inference. Prospective (Cohort) StudiesMeasures of Risk: Risk Difference. Risk Ratio. Odds Ratio. A Comparison of Taylor Series and Test-Based Methods. Risk Ratio vs. Odds Ratio.Retrospective (Case-Control) StudiesMeasures of Risk: Risk Ratio. Odds Ratio.Cross-Sectional StudiesMeasures of Prevalence. Point and Interval Estimation.Stratified AnalysisConfounding and Interaction. Adjustment for Confounding in a 2 x 2 Table. Measures of Risk. Measures of Prevalence. MatchingMatched-Pair Analysis. Matched-Set Analysis Involving Multiple Controls Per Case. Matched-Set Analysis Using Varying Number of Controls Per Case. Efficacy of Matching. Matched Follow-Up Studies. Multivariate ModelsLinear Models. Binary Logistic Regression. Proportional Hazards Regression. Poisson Regression. Prospective (Cohort) Studies with Person-Time DataMeasures of Risk: Incidence Rate Difference. Incidence Rate Ratio.Stratified Analysis with Person-Time DataMeasures of Risk. Other Summary Effect Measures. Attributable RiskPercent Attributable Risk. Population Attributable Risk. Confidence Intervals. Adjustment for Confounding. AppendicesPearson Chi-Square vs. Mantel-Haenszel Chi-Square. Variance of a Function of a Random Variable. The Odds Ratio. More Confidence Intervals for the Risk Ratio. Maximum Likelihood Estimation. Variance of the Conditional Maximum Likelihood Estimator of the Odds Ratio and the Log Odds Ratio. Variance of the Maximum Likelihood Estimator of the Common Odds Ratio in a Stratified Analysis. Some Important Probability Distributions. Randomized and Mid-p Tests and Mid-p Confidence Intervals. Mantel-Haenszel Chi-Square Statistic for Stratified 2 x 2 Tables. Analysis of a 2 x l Table. Maximum Likelihood Estimation for the Logistic Regression Model. Logistic Regression Model for a Case-Control Design. Odds Ratio as an Approximation to a Risk Ratio. ExercisesReferencesRelated BibliographyIndexesAuthor Index. Subject Index. Data Index.
