Author: Geoff Der
Edition: 2
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1439867976
Applied Medical Statistics Using SAS
Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Medical books 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.
Features
- Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation
- Illustrates methods of randomisation that might be employed for clinical trials
- Covers topics that have become of great importance in the 21st 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.
Complete data sets, all the SAS code, and complete outputs can be found on an associated website: http://support Medical books Applied Medical Statistics Using Sas By Brian S. Everitt, Geoff Der.... author brian s everitt author geoff der format hardback language english publication year 30 10 2012 subject computing it subject 2 software packages ean 9781439867976 title applied medical statistics using sas sec sku st 1439867976 product category books comics magazines about speedy hen ltd by continuing with this checkout and ordering from speedy hen you are accepting our current terms and conditions details of which can be found by clicking here author s brian s everitt geoff der content not
Download link for Applied Medical Statistics Using SAS
Medical Book 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.
Features
- Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation
- Illustrates methods of randomisation that might be employed for clinical trials
- Covers topics that have become of great importance in the 21st 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.
Complete data sets, all the SAS code, and complete outputs can be found on an associated website: http://support.sas.com/amsus
