62 citations · 243 across the 29 of their papers we have counts for
Showing 2016 · stat.MEShow all
3 papers · 2 filters
stat.ME2016
Bayesian models for data missing not at random in health examination surveys
Juho Kopra, Juha Karvanen, Tommi Härkänen
In epidemiological surveys, data missing not at random (MNAR) due to survey nonresponse may potentially lead to a bias in the risk factor estimates. We propose an approach based on…
stat.ME2016★ 2 cited
Bayesian subcohort selection for longitudinal covariate measurements in follow-up studies
Jaakko Reinikainen, Juha Karvanen
We consider planning longitudinal covariate measurements in follow-up studies where covariates are time-varying. We assume that the entire cohort cannot be selected for longitudina…
stat.ME2016
Prioritizing covariates in the planning of future studies in the meta-analytic framework
Juha Karvanen, Mikko J. Sillanpää
Science can be seen as a sequential process where each new study augments evidence to the existing knowledge. To have the best prospects to make an impact in this process, a new st…