Birnbaum–Saunders sample selection model

Model Selection for Mixture Models Using Perfect Sample

We have considered a perfect sample method for model selection of finite mixture models with either known (fixed) or unknown number of components which can be applied in the most general setting with assumptions on the relation between the rival models and the true distribution. It is, both, one or neither to be well-specified or mis-specified, they may be nested or non-nested. We consider mixt...

Bayesian Inference in a Sample Selection Model

This is the author’s version of a work that was accepted for publication in Journal of Econometrics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was su...

Semi-Parametric of Sample Selection Model Using Fuzzy Concepts

Estimation of a regression spline sample selection model

It is often the case that an outcome of interest is observed for a restricted non-randomly selected sample of the population. In such a situation, standard statistical analysis yields biased results. This issue can be addressed using sample selection models which are based on the estimation of two regressions: a binary selection equation determining whether a particular statistical unitwill be ...

Model selection and sample size adaptation: HYPAZ trial

Pazopanib is a new cancer drug that works by limiting the growth of new blood vessels in tumours. About half of patients who take pazopanib develop high blood pressure (hypertension). This side effect can make patients have to reduce or stop their cancer treatment, and can cause other health problems. Understanding how pazopanib causes high blood pressure will help us to advise doctors how to t...