Multiple linear regression.

Research output: Contribution to journalReview article

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Abstract

This chapter describes multiple linear regression, a statistical approach used to describe the simultaneous associations of several variables with one continuous outcome. Important steps in using this approach include estimation and inference, variable selection in model building, and assessing model fit. The special cases of regression with interactions among the variables, polynomial regression, regressions with categorical (grouping) variables, and separate slopes models are also covered. Examples in microbiology are used throughout.

Original languageEnglish (US)
Pages (from-to)165-187
Number of pages23
JournalMethods in molecular biology (Clifton, N.J.)
Volume404
DOIs
StatePublished - 2007

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