Association models in epidemiology study designs, modeling strategies, and analytic methods / Hongjie Liu.
| Author/creator | Liu, Hongjie |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2025. |
| Description | xix, 465 pages : illustrations ; 26 cm. |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Contents | Association models in analytic epidemiologic research : principles and methods -- Modeling for cohort studies : incidence rate ratio, risk ratio, and risk difference -- Modeling for cohort studies : time-to-event outcome -- Modeling for cohort studies : propensity score method -- Modeling for traditional case-control studies -- Modeling for matched case-control studies -- Modeling for population-based case-control studies -- Modeling for cross-sectional studies -- Modeling for ecologic studies -- Spline regression models : beyond linearity and categorization. |
| Abstract | "Association Models in Epidemiology: Study Design, Modeling Strategies, and Analytic Methods provides detailed strategies in modeling analyses of epidemiologic data. It focuses on integrating epidemiologic principles with statistical modeling methods in such a way that the principles inform the choice of modeling strategy and covariate selection. Specific statistical models are tailored to analyze data collected from different epidemiologic study designs, i.e., data analysis by study design. The study designs highlighted in this book include cross-sectional, case-control, and cohort studies. The analytic strategies covered emphasize model specification, effect estimation, control of confounding, and assessment of modification and mediation effects. Detailed modeling techniques include logistic regression, conditional logistic regression, log-binomial regression, Cox proportional hazards, Poisson regression, negative binomial regression, path analytic model, and propensity-score analysis. Features: Modeling of epidemiologic data by study design Integration of epidemiologic principles with biostatistics Development of analytic strategies for each study design Use of the directed acyclic graph (DAG) in model specification Modelling assumptions and alternatives Step-by-step modeling approach using SAS® software Exercises in each chapter to enable use as a course text or for self-study The textbook is primarily aimed at graduate students in epidemiology taking a course on advanced methods in epidemiology. It has been developed from a course taught by the author for many years at the University of Maryland, but it could also be used for self-study. It will also be useful as a reference for epidemiologists who need to perform valid and accurate analyses independently as part of their jobs"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2024002787 |
| ISBN | 9781032353401 (hardback) |
| ISBN | 9781032353456 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |