Essays about: "Inverse probability weighting estimator"

Found 4 essays containing the words Inverse probability weighting estimator.

  1. 1. Evaluating Risk Factors with Regression : A Review and Simulation Study of Current Practices

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Ragna Reinhammar; [2022]
    Keywords : ;

    Abstract : The term ”risk factor” is used synonymously with both predictor and causal factor, and causal aims of explanatory analyses are rarely stated explicitly. Consequently, the concepts of explaining and predicting are conflated in risk factor research. READ MORE

  2. 2. Improved estimation of the ATT from longitudinal data

    University essay from Umeå universitet/Statistik

    Author : Kreske Ecker; [2018]
    Keywords : ;

    Abstract : Our goal is to improve the estimation of the average treatment effect among treated (ATT) from longitudinal data. When the ATT is estimated at one time point (or separately at each), outcome-regression (OR), inverse probability weighting and doubly robust estimators can be used. READ MORE

  3. 3. Evaluating model selection criteria for nuisance models in causal inference : (when the true models are finite mixtures)

    University essay from Umeå universitet/Statistik

    Author : Samuel Hellman; [2016]
    Keywords : ;

    Abstract : When using inverse probability weighting (IPW) and doubly robust (DR) estimators for estimating the causal effect we need to use nuisance models for estimating the propensity scores, and for the DR estimator also the outcome regression. These nuisance models are often created using a selection of covariates, higher order and interaction terms, which require some model selection criteria. READ MORE

  4. 4. Causal Inference in a 22 Factorial Design Using Generalized Propensity Score

    University essay from Statistiska institutionen

    Author : Matilda Nilsson; [2013]
    Keywords : Potential outcomes; two treatments; Inverse probability weighting estimator; Doubly robust estimator.;

    Abstract : When estimating causal effects, typically one binary treatment is evaluated at a time. This thesis aims to extend the causal inference framework using the potential outcomes scheme to a situation in which it is of interest to simultaneously estimate the causal effects of two treatments, as well as their interaction effect. READ MORE