Applied Medical Statistics Using SAS
Seiten
2012
Chapman & Hall/CRC (Verlag)
978-1-4398-6797-6 (ISBN)
Chapman & Hall/CRC (Verlag)
978-1-4398-6797-6 (ISBN)
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, 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
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
Geoff Der, Brian S. Everitt
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.
| Erscheint lt. Verlag | 1.11.2012 |
|---|---|
| Zusatzinfo | 192 Tables, black and white; 113 Illustrations, black and white |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 946 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| ISBN-10 | 1-4398-6797-6 / 1439867976 |
| ISBN-13 | 978-1-4398-6797-6 / 9781439867976 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
ein überfälliges Gespräch zu einer Pandemie, die nicht die letzte …
Buch | Hardcover (2024)
Ullstein Buchverlage
CHF 34,95
