This paper examines the foundations for comparing individuals and treatment subjects in experimental and other program evaluation contexts. We raise the question of multiattribute "characterization" of individuals both theoretically and statistically. The paper examines the information basis of characterizing individuals and offers alternatives motivated by welfare and decision theories. The pr...

The question whether the telecommunication sector has been really supporting poverty alleviation and increasing welfare at the household level, in terms of an additional income in Indonesia is still undisclosed. This paper aims at investigating whether the mobile phone access and the uses on productive features/content/services have brought many benefits to the households in terms of an additio...

In this paper, we present a novel framework for automatically assessing facial attractiveness that considers four ratio feature sets as objective elements of facial attractiveness. In our framework, these feature sets are combined with three regression-based predictors to estimate a facial beauty score. To enhance the system’s performance to make it comparable with human scoring, we apply a sco...

We show that relative mean survival parameters of a semiparametric log-linear model can be estimated using covariate data from an incident sample and a prevalent sample, even when there is no prospective follow-up to collect any survival data. Estimation is based on an induced semiparametric density ratio model for covariates from the two samples, and it shares the same structure as for a logis...

This article considers Bayesian model averaging as a means of addressing uncertainty in the selection of variables in the propensity score equation. We investigate an approximate Bayesian model averaging approach based on the model-averaged propensity score estimates produced by the R package BMA but that ignores uncertainty in the propensity score. We also provide a fully Bayesian model averag...

The use of propensity scores to adjust for measured confounding factors has become increasingly popular in cohort studies. However, their use in case-control and case-cohort studies has received little attention. The authors present some theory on the estimation and use of propensity scores in case-control and case-cohort studies and present the results of simulation studies that examine whethe...