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Hittade 2 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Uncertainty intervals and sensitivity analysis for missing data

    Författare :Minna Genbäck; Xavier de Luna; Elena Stanghellini; Arvid Sjölander; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; missing data; missing not at random; non-ignorable; set identification; uncertainty intervals; sensitivity analysis; self reported health; average causal effect; average causal effect on the treated; mixed-effects models; Statistics; statistik;

    Sammanfattning : In this thesis we develop methods for dealing with missing data in a univariate response variable when estimating regression parameters. Missing outcome data is a problem in a number of applications, one of which is follow-up studies. LÄS MER

  2. 2. Covariate selection and propensity score specification in causal inference

    Författare :Ingeborg Waernbaum; Xavier de Luna; Elena Stanghellini; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Covariate selection; graphical models; matching; observational studies; treatment effects; unconfoundedness; Statistics; Statistik;

    Sammanfattning : This thesis makes contributions to the statistical research field of causal inference in observational studies. The results obtained are directly applicable in many scientific fields where effects of treatments are investigated and yet controlled experiments are difficult or impossible to implement. LÄS MER