Applied Medical Statistics Using Sas
by Brian S. Everitt /
2012 / English / PDF
3.3 MB Download
Written with medical statisticians and medical researchers in
mind, this intermediate-level reference explores the use of SAS
for analyzing medical data.
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
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, longitudinal and survival data
analysis, missing data, generalized additive models (GAMs), and
Bayesian methods. The book focuses on performing these analyses
using SAS, the software package of choice for those analysing
medical data.
covers the whole range of modern statistical methods used
in the analysis of medical data, including regression, analysis
of variance and covariance, longitudinal and survival data
analysis, missing data, generalized additive models (GAMs), and
Bayesian methods. The book focuses on performing these analyses
using SAS, the software package of choice for those analysing
medical data.Features
FeaturesCovers the planning stage of medical studies in detail;
several chapters contain details of sample size estimation
Covers the planning stage of medical studies in detail;
several chapters contain details of sample size estimationIllustrates methods of randomisation that might be employed
for clinical trials
Illustrates methods of randomisation that might be employed
for clinical trialsCovers topics that have become of great importance in the
21
Covers topics that have become of great importance in the
21st
st century, including Bayesian methods and multiple
imputation
century, including Bayesian methods and multiple
imputation
Its breadth and depth, coupled with the inclusion of all the SAS
code, make this book ideal for practitioners as well as for a
graduate class in biostatistics or public health.
Its breadth and depth, coupled with the inclusion of all the SAS
code, make this book ideal for practitioners as well as for a
graduate class in biostatistics or public health.
Complete data sets, all the SAS code, and complete outputs can be
found on an associated website: http://support.sas.com/amsus
Complete data sets, all the SAS code, and complete outputs can be
found on an associated website: http://support.sas.com/amsus
