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SAS Survival Analysis Techniques for Medical Research - Alan B. Cantor

SAS Survival Analysis Techniques for Medical Research

Paperback

Published: 16th January 2003
Ships: 15 business days
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RRP $62.91
$61.50

If you are new to survival analysis or want to expand your capabilities in this area, you'll benefit from Alan Cantor's follow-up to Extending SAS Survival Analysis Techniques for Medical Research. This second edition presents the theory and methods of survival analysis along with excellent discussions of the SAS procedures used to implement the methods described. New features include a discussion of permutation and randomization tests; a discussion of the use of data imputation; an expanded discussion of power for Cox regression; descriptions of the new features of SAS 9, such as confidence bands for the Kaplan-Meier curve; appendixes that cover mathematical and statistical background topics needed in survival analysis; and student exercises. The new features, along with several useful macros and numerous examples, make this a suitable textbook for a course in survival analysis for biostatistics majors and majors in related fields. This book excels at presenting complex ideas in a way that enables those without a strong technical background to understand and apply the concepts and techniques.

"SAS Survival Analysis Techniques for Medical Research, Second Edition by Alan Cantor is a remarkably straightforward and concise treatment of the subject. I heartily recommend this book."

Prefacep. v
What Survivor Analysis Is About
The Nature of Survival Datap. 1
Exercisesp. 5
Calendar Time and Study Timep. 5
Exercisep. 6
Examplep. 6
Functions That Describe Survivalp. 9
Exercisesp. 11
Some Commonly Used Survival Functionsp. 11
Exercisesp. 12
Functions That Allow for Curep. 13
Fully Parametric and Nonparametric Methodsp. 15
Some Common Assumptionsp. 16
Exercisesp. 16
Non-Parametric Survival Function Estimation
The Kaplan-Meier Estimate of the Survival Functionp. 17
Exercisep. 20
The Actuarial Life Tablep. 20
The Variance of the Kaplan-Meier Estimatorp. 23
Hypothesis Testsp. 24
Confidence Intervalsp. 25
Some Problems with the Kaplan-Meier Estimator of S(t)p. 25
Using PROC LIFETESTp. 27
Two Macros as Alternatives to PROC LIFETESTp. 32
Planning a Study to Control the Standard Errorp. 37
Examplep. 39
The KMPLAN Macrop. 39
Exercisep. 42
Interval-Censored Datap. 42
Macrosp. 48
Non-Parametric Comparison of Survival Distributions
Notationp. 53
The Log Rank Statisticp. 54
More Than Two Groupsp. 56
Other Linear Rank Testsp. 57
Using PROC LIFETESTp. 59
Exercisesp. 64
A Test for Trendp. 64
Stratified Analysesp. 65
The Macro LINRANKp. 66
Permutation Tests and Randomization Testsp. 73
The Mantel-Byar Methodp. 79
Power Analysisp. 84
Early Stopping Based on Conditional Powerp. 92
Listings of Macrosp. 95
Proportional Hazards Regression
Some Thoughts about Model-Based Estimation and Inferencep. 111
The Cox (Proportional Hazards) Regression Methodp. 112
The Hazard Ratio and Survivalp. 113
Multiple Covariatesp. 114
Defining Covariatesp. 115
Scaling the Covariatesp. 115
Survival Probabilitiesp. 116
Maximum Likelihood Estimation of the Coefficientsp. 116
Using PROC PHREGp. 117
Model-Building Considerationsp. 131
Time-Dependent Covariatesp. 134
More Complex Modelsp. 136
Checking the Proportional Hazards Assumptionp. 136
Exercisep. 138
Survival Probabilitiesp. 138
Residualsp. 143
Power and Sample Sizep. 145
Imputing Missing Valuesp. 148
Listings of Macrosp. 150
Parametric Methods
Introductionp. 153
The Accelerated Failure Time Modelp. 155
PROC LIFEREGp. 156
Example Using PROC LIFEREGp. 156
Comparison of Modelsp. 159
Estimates of Quantiles and Survival Probabilitiesp. 160
The PROC LIFEREG Parameters and the "Standard" Parametersp. 163
The Macro PARAMESTp. 163
Example Using the Macro PARAMESTp. 166
An Example with a Positive Cure Ratep. 169
Comparison of Groupsp. 173
One-Sample Tests of Parametersp. 176
The Effects of Covariates on Parametersp. 176
Complex Expressions for the Survival and Hazard Functionsp. 179
Graphical Checks for Certain Survival Distributionsp. 179
A Macro for Fitting Parametric Models to Survival Datap. 180
Other Estimates of Interestp. 183
Listings of Macrosp. 183
Appendix Ap. 187
Appendix Bp. 193
Appendix Cp. 209
Referencesp. 219
Indexp. 223
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9781590471357
ISBN-10: 1590471350
Audience: General
Format: Paperback
Language: English
Number Of Pages: 230
Published: 16th January 2003
Publisher: SAS Publishing
Country of Publication: US
Dimensions (cm): 27.64 x 21.64  x 1.19
Weight (kg): 0.59
Edition Number: 2