[R] Interpreting the example given by Frank Harrell in the predict.lrm {Design} help
Frank Harrell
f.harrell at vanderbilt.edu
Mon Oct 4 15:10:32 CEST 2010
I may be missing a point, but the proportional odds model easily gives you
odds ratios for Y>=j (independent of j by PO assumption). Other options
include examining a rank correlation between the linear predictor and Y, or
(if Y is numeric and spacings between categories are meaningful) you can get
predicted mean Y (see the Mean.lrm in the R rms package, a replacement for
the Design package).
Frank
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Frank Harrell
Department of Biostatistics, Vanderbilt University
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