TY - JOUR
T1 - Multiple linear regression.
AU - Eberly, Lynn E.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
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U2 - 10.1007/978-1-59745-530-5_9
DO - 10.1007/978-1-59745-530-5_9
M3 - Review article
C2 - 18450050
AN - SCOPUS:43749116854
SN - 1064-3745
VL - 404
SP - 165
EP - 187
JO - Methods in molecular biology (Clifton, N.J.)
JF - Methods in molecular biology (Clifton, N.J.)
ER -