The following statements fit a log logistic distribution to the data. proc lifereg data=raw; model x*censor(1) = c1 / distribution = llogistic; run; The algorithm converges, and the maximum likelihood ...

The following SAS statements invoke PROC LOGISTIC to fit a complementary log-log model for binary data with response variable Y and explanatory variables day1-day13, sex, and conc.Since the values of ...

The logistic model and the log-linear model provide the same parametric description of disease risk: α 1t, β 1t, and γ 1t have exactly the same interpretations in both models.

For the parameters of a multinomial logistic regression, it is shown how to obtain the bias-reducing penalized maximum likelihood estimator by using the equivalent Poisson log-linear model. The ...