Statistics in Epidemiology
Crc Press Inc (Verlag)
978-0-8493-9444-7 (ISBN)
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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:
Sahai/, Hardeo; Khurshid/, Anwer
Preface
Introduction
Types of Epidemiologic Study Designs
Prospective 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) Studies
Measures 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) Studies
Measures of Risk: Risk Ratio. Odds Ratio.
Cross-Sectional Studies
Measures of Prevalence. Point and Interval Estimation.
Stratified Analysis
Confounding and Interaction. Adjustment for Confounding in a 2 x 2 Table. Measures of Risk. Measures of Prevalence.
Matching
Matched-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 Models
Linear Models. Binary Logistic Regression. Proportional Hazards Regression. Poisson Regression.
Prospective (Cohort) Studies with Person-Time Data
Measures of Risk: Incidence Rate Difference. Incidence Rate Ratio.
Stratified Analysis with Person-Time Data
Measures of Risk. Other Summary Effect Measures.
Attributable Risk
Percent Attributable Risk. Population Attributable Risk. Confidence Intervals. Adjustment for Confounding.
Appendices
Pearson 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.
Exercises
References
Related Bibliography
Indexes
Author Index. Subject Index. Data Index.
| Erscheint lt. Verlag | 21.12.1995 |
|---|---|
| Zusatzinfo | 651 equations; 99 Tables, black and white |
| Verlagsort | Bosa Roca |
| Sprache | englisch |
| Maße | 156 x 235 mm |
| Gewicht | 684 g |
| Einbandart | gebunden |
| Themenwelt | Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie |
| ISBN-10 | 0-8493-9444-9 / 0849394449 |
| ISBN-13 | 978-0-8493-9444-7 / 9780849394447 |
| Zustand | Neuware |
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