Search for dissertations about: "average causal effect"
Showing result 1 - 5 of 47 swedish dissertations containing the words average causal effect.
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1. Uncertainty intervals and sensitivity analysis for missing data
Abstract : 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. READ MORE
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2. Causal inference and case-control studies with applications related to childhood diabetes
Abstract : This thesis contributes to the research area of causal inference, where estimation of the effect of a treatment on an outcome of interest is the main objective. Some aspects of the estimation of average causal effects in observational studies in general, and case-control studies in particular, are explored. READ MORE
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3. Selection of smoothing parameters with application in causal inference
Abstract : This thesis is a contribution to the research area concerned with selection of smoothing parameters in the framework of nonparametric and semiparametric regression. Selection of smoothing parameters is one of the most important issues in this framework and the choice can heavily influence subsequent results. READ MORE
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4. Some Aspects of Propensity Score-based Estimators for Causal Inference
Abstract : This thesis consists of four papers that are related to commonly used propensity score-based estimators for average causal effects.The first paper starts with the observation that researchers often have access to data containing lots of covariates that are correlated. READ MORE
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5. Causal Inference: Applications in Education, Violence, and the Scientific Process
Abstract : This thesis consists of five self-contained chapters. In chapter 1, I analyze how replications affect how underlying studies are cited. My results provide no evidence that citations changed in response to either successful or failed replications, with potentially worrying implications for the self-corrective ability of the scientific process. READ MORE
