Applied Medical Statistics Using SAS

✍ Scribed by Geoff Der (Author); Brian S. Everitt (Author)

Publisher: Chapman and Hall/CRC
Year: 2012
Leaves: 539
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudi

✦ Table of Contents

An Introduction to SAS. Statistics and Measurement in Medicine. Clinical Trials. Epidemiology. Meta-analysis. Analysis of Variance and Covariance. Scatter Plots, Correlation, Simple Regression, and Smoothing. Multiple Linear Regression. Logistic Regression. The Generalised Linear Model. Generalised Additive Models. The Analysis of Longitudinal Data I. The Analysis of Longitudinal Data II: Linear Mixed-Effects Models for Normal Response Variables. The Analysis of Longitudinal Data III: Non-Normal Responses. Survival Analysis. Cox`s Proportional Hazards Models for Survival Data. Bayesian Methods. Missing Values.

✦ Subjects

Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Computing;Medicine, Dentistry, Nursing & Allied Health;Medicine;Medical Statistics & Computing

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