.- help for ^lrmatx^ .- Makes estimates and p-values from logistic regression more easily available ---------------------------- ^lrmatx^ Description ----------- ^lrmatx^ must be run after a logistic regression. It stores the output that you see from a logistic regression as easily accessible matrices. It is intended for use during model building. By making coefficients accessible, you can easily compare changes in coefficients between different models. Options ------- none Remarks ------- The results are returned in ^r(or)^ odds ratios (exp(beta)) ^r(ci)^ confidence intervals at 95% 2-tailed sig.level ^r(beta)^ coefficients ^r(stderr)^ standard errors ^r(pwald)^ p-values of wald test ^r(lrmatx)^ all of the above in one matrix This program is used in the programs lrplot and lrchg. Examples -------- . ^xi:logistic response i.age i.gender^ . ^lrmatx^ . ^return list^ . ^matrix list r(lrmatx)^ r(lrmatx)[4,4] OR CI1 CI2 p Iage_2 1.4102446 1.3292385 1.4961874 0 Iage_3 1.4026458 1.2765543 1.5411921 1.917e-12 Iage_4 1.06006 .92046704 1.2208228 .4181673 _cons 1.7053863 1.6373446 1.7762555 0 Author ------- Jan Brogger, University of Bergen, Norway jan.brogger@@med.uib.no Shameless plug :) -------------- I am looking for internship & residency in internal medicine/pulmonary medicine US/EU. Am doing PhD in respiratory epidemiology now.