Applied medical statistics using SAS - Info and Reading Options
By Geoff Der

"Applied medical statistics using SAS" was published by Taylor & Francis in 2012 - Boca Raton, it has 559 pages and the language of the book is English.
“Applied medical statistics using SAS” Metadata:
- Title: ➤ Applied medical statistics using SAS
- Author: Geoff Der
- Language: English
- Number of Pages: 559
- Publisher: Taylor & Francis
- Publish Date: 2012
- Publish Location: Boca Raton
“Applied medical statistics using SAS” Subjects and Themes:
- Subjects: ➤ SAS (Computer file) - Statistical Data Interpretation - Mathematical Computing - Sas (computer program) - Medicine, data processing - Medical records - SAS (Computer program language) - Medicine - Data processing - Medical informatics - Medical Informatics Applications - SAS (Langage de programmation) - Médecine - Informatique - Dossiers médicaux - MEDICAL - Allied Health Services - Medical Technology - Biotechnology - Family & General Practice - Lasers in Medicine - TECHNOLOGY & ENGINEERING - Biomedical
Edition Specifications:
- Pagination: p. ;
Edition Identifiers:
- The Open Library ID: OL25330884M - OL16654136W
- Online Computer Library Center (OCLC) ID: 811139583 - 794257386
- Library of Congress Control Number (LCCN): 2012015698
- ISBN-13: 9781439867976
- All ISBNs: 9781439867976
AI-generated Review of “Applied medical statistics using SAS”:
"Applied medical statistics using SAS" Table Of Contents:
- 1- Introduction to SAS
- 2- Statistics and measurement
- 3- Clinical trials
- 4- Epidemiology
- 5- Meta analysis
- 6- Anova
- 7- Regression
- 8- Multiple regression
- 9- Logistic regression
- 10- Generalized linear models
- 11- Generalized additive models
- 12- Longitudinal data analysis I
- 13- Longitudinal data analysis II : linear mixed effects models for normal response variables
- 14- Longitudinal data analysis III : non-normal responses
- 15- Survival analysis
- 16- Cox regression
- 17- Bayesian methods
- 18- Missing data.
"Applied medical statistics using SAS" Description:
The Open Library:
"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.
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