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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Regression Models as a Tool in Medical Research (Paperback)
Loot Price: R1,363
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Regression Models as a Tool in Medical Research (Paperback)
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While regression models have become standard tools in medical
research, understanding how to properly apply the models and
interpret the results is often challenging for beginners.
Regression Models as a Tool in Medical Research presents the
fundamental concepts and important aspects of regression models
most commonly used in medical research, including the classical
regression model for continuous outcomes, the logistic regression
model for binary outcomes, and the Cox proportional hazards model
for survival data. The text emphasizes adequate use, correct
interpretation of results, appropriate presentation of results, and
avoidance of potential pitfalls. After reviewing popular models and
basic methods, the book focuses on advanced topics and techniques.
It considers the comparison of regression coefficients, the
selection of covariates, the modeling of nonlinear and nonadditive
effects, and the analysis of clustered and longitudinal data,
highlighting the impact of selection mechanisms, measurement error,
and incomplete covariate data. The text then covers the use of
regression models to construct risk scores and predictors. It also
gives an overview of more specific regression models and their
applications as well as alternatives to regression modeling. The
mathematical details underlying the estimation and inference
techniques are provided in the appendices.
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