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Showing 1 to 3 of 3 for “"Heterogeneity in treatment effects"”.

  1. On Cluster Robust Models

    <p>Cluster robust models are a kind of statistical models that attempt to estimate parameters considering potential heterogeneity in treatment effects. Absent heterogeneity in treatment effects, the partial and average treatment effect are the same. When heterogeneity in treatment effects occurs, …

    claremont Repository record for On Cluster Robust Models (opens in a new tab)

  2. Evidence Synthesis and targeting further research for adherence and stratification in health economic evaluations

    … policy decisions, are usually subject to uncertainty. This thesis aims to develop statistical methods to quantify uncertainty and target where reducing uncertainty is most beneficial in a CEA. This enables policy decisions, based on the models, to be better informed. There is a focus on two …

    cambridge Repository record for Evidence Synthesis and targeting further research for adherence and stratification in health economic evaluations (opens in a new tab)

  3. Essays in Econometrics

    … on the development and analysis of methods in econometrics. In the first two chapters I consider the use of jackknife bias correction techniques to deal with the incidental parameters bias that arises from including fixed effect parameters in nonlinear models. The final chapter deals with …

    mit Repository record for Essays in Econometrics (opens in a new tab)