Statistical Analytics for Health Data Science with SAS and R

ISBN-13: 9781032325620 / Angielski / Twarda / 2023 / 312 str.

USA) Peace Karl E. (Georgia Southern University

Opis

This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applications to health and health-related data. The data and computing programs will be available to facilitate readers’ learning experience.

Spis treści

1. Sampling and Data Collection  2. Measures of Tendency, Spread, Relative Standing, Association, Belief  3. Statistical Modeling of Mean of Continuous and Mean of Binary Outcomes  4. Modeling of Continuous and Binary Outcomes with Factors: One-way and Two-way ANOVA Models  5. Statistical Modeling of Continuous Outcomes with Continuous Explanatory Factors Linear Regression Models  6. Modeling Continuous Responses with Categorical and Continuous Covariates: One-Way Analysis of Covariance (ANCOVA)  7. Statistical Modeling of Binary Outcome with One or More Covariates: Standard Logistic Regression Model  8. Generalized Linear Models  9. Modeling Repeated Continuous Observations using GEE  10. Modeling for Correlated Continuous Responses with Random-Effects  11. Modeling Correlated Binary Outcomes through Hierarchical Logistic Regression Models