''Adding topics useful to medical statisticians, this new edition of a popular intermediate-level reference explores the use of SAS for analyzing medical data. A new chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes new chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains its example-based approach, with SAS code and output included throughout and available online''--Provided by publisher. Read more...
Content: Introduction to SAS --
Statistics and measurement --
Clinical trials --
Epidemiology --
Meta analysis --
Anova --
Regression --
Multiple regression --
Logistic regression --
Generalized linear models --
Generalized additive models --
Longitudinal data analysis I --
Longitudinal data analysis II : linear mixed effects models for normal response variables --
Longitudinal data analysis III : non-normal responses --
Survival analysis --
Cox regression --
Bayesian methods --
Missing data.
Abstract: ''Adding topics useful to medical statisticians, this new edition of a popular intermediate-level reference explores the use of SAS for analyzing medical data. A new chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes new chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains its example-based approach, with SAS code and output included throughout and available online''--Provided by publisher
