Statistical Analytics for Health Data Science with SAS and R (2023) Pdf Free Download

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In the statistical analysis of data, it is often of key interest to evaluate the impact of a covariate or covariates on the response variable through a statistical model. The type of statistical model used in this process depends a great deal on the way the data were obtained and the type of variable (measure) being used as the response. In this book, we focus on models with one categorical response or one continuous response. In the first 8 chapters, we focus on data obtained based on independent observations and one or more covariates. In Chapters 9, 10, and 11, we introduce models applicable when the observations are correlated.

The focus of this book is the modeling of response outcomes with categorical and or continuous factors. We strive for simplicity and ease in the explanation of statistical terms and terminologies. We refer to practical examples whenever there is an opportunity to simplify a concept or to bring theory into practice.

We use several real-world datasets to demonstrate the models fitted throughout the book. They are data encountered over the last few years of our research and teaching of statistics at the undergraduate level at our universities. The aim of this book is to concentrate on using marginal models. These are models that address the overall mean of the response variable.

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