July 2013
Beginner
408 pages
10h 42m
English
Content preview from Biostatistics For Dummies
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Chapter 24
Survival Regression
In This Chapter
Knowing when to use survival regression
Describing the concepts behind survival regression
Running and interpreting the outcome of survival regression
Peeking at prognosis curves
Estimating sample size for survival regression
Survival regression is one of the most commonly used techniques in biostatistics. It overcomes the limitations of the log-rank test (see Chapter 23) and lets you analyze how survival time is influenced by one or more predictors (the X variables), which can be categorical or numerical (see Chapter 7). In this chapter, I introduce survival regression: when to use it, its basic concepts, running it and interpreting the output, building prognosis curves, and figuring out the sample size you need.
Note: Because time-to-event data is so often applied to survival, where the event is death, I use the terms death and survival time in this chapter, but everything I say applies also to analyzing times to the first occurrence ...
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