By Eric Vittinghoff,David V. Glidden,Stephen C. Shiboski,Charles E. McCulloch
ISBN-10: 1461413524
ISBN-13: 9781461413523
ISBN-10: 1489998543
ISBN-13: 9781489998545
This new booklet presents a unified, in-depth, readable advent to the multipredictor regression tools most generally utilized in biostatistics: linear versions for non-stop results, logistic types for binary results, the Cox version for right-censored survival occasions, repeated-measures types for longitudinal and hierarchical results, and generalized linear versions for counts and different results.
Treating those subject matters jointly takes good thing about all they've got in universal. The authors indicate the many-shared parts within the equipment they current for choosing, estimating, checking, and reading every one of those versions. in addition they exhibit that those regression equipment take care of confounding, mediation, and interplay of causal results in primarily an identical method.
The examples, analyzed utilizing Stata, are drawn from the biomedical context yet generalize to different components of software. whereas a primary path in records is believed, a bankruptcy reviewing uncomplicated statistical tools is integrated. a few complex themes are coated however the presentation continues to be intuitive. a short creation to regression research of advanced surveys and notes for additional interpreting are provided.
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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models: 0 (Statistics for Biology and Health) by Eric Vittinghoff,David V. Glidden,Stephen C. Shiboski,Charles E. McCulloch
by Michael
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