This paper concerns robust inference on average treatment effects following model selection. In the selection on observables framework, we show how to construct confidence intervals based on a doubly-robust estimator that are robust to model selection errors and prove that they are valid uniformly over a large class of treatment effect models. The class allows for multivalued treatments with he...

The multinomial logit model with random eeects is often used in modeling correlated nominal polytomous data. Given that there is no standard software of tting it, we advocate using either a Poisson log-linear model or a Poisson nonlinear model, both with random eeects. Their implementations can be carried out easily by many existing commercial statistical packages including SAS. A brand choice ...

background: unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. in the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population.   methods : in this cross-sectional study, 887 pregnant mothers referring to health centers in khorramabad, iran, in 2012 were selec...