Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 11 of 11 for “"Estimands"”.
-
Geometric methods in econometrics and statistics
… and tested. I consider statistical models and estimands motivated by economic theory and applications and study their local and also global properties: I study the local properties of functionals to characterize the efficiency bounds of their estimators and the directions of most rapid …
-
TIME-VARYING MEDIATION EFFECTS WITH BINARY MEDIATOR IN SMOKING CESSATION STUDIES
… zero-inflated. Two types of path-specific causal estimands are identifiable for these scenarios. The findings suggest good performance of the proposed analytical approach in producing accurate effect estimates (reduced bias and reasonable coverage) of these estimands for all the outcome scenarios. …
-
Machine Learning for Uncertainty with Application to Causal Inference
… sandwich variances, and (v) ratio estimands for binary and count outcomes.</p>
-
EVALUATION, DEVELOPMENT, AND EXTENSION OF FLEXIBLE PARAMETRIC MODELS FOR THE DISTRIBUTIONAL ANALYSIS OF CENSORED AND NON-CENSORED DATA: A FRAMEWORK FOR MODELING AND COMMUNICATING THE FULL DISTRIBUTION OF HEALTH OUTCOMES.
… To improve risk communication, two novel estimands are defined: the Highest Risk Density Region (HRDR) and the Highest Net Risk Difference Region (HNRDR). These measures identify the specific time intervals where absolute risk is most concentrated or where the treatment effect is maximal. …
-
Methodological Development with Machine Learning and Bayesian Approaches in Cancer and Nutrition Research
… women with low baseline DHA levels. Using the estimands from this model, a Bayesian adaptive trial design for adherence improvement is designed, utilizing a similar Bayesian finite mixture model to determine effect size and leading to irregular interim analyses. Chapter 3 combines Bayesian and …
-
Representation Learning Based Causal Inference in Observational Studies
… estimation, presented in Chapter 2. Three causal estimands that target different foci in the population are considered: average treatment effect on the whole population (ATE), average treatment effect on the treated population (ATT), and average treatment effect on the overlap population (ATO). …
-
Modern Econometric Methods for the Analysis of Housing Markets
… simulation study and evaluate 160 models and 320 estimands. The results suggest that the conventional notion of a bias-variance tradeoff, with bias increasing and variance decreasing with the number of matched controls, does not hold under the bias-corrected matching estimator (BCME), developed by …
-
Some Selective Inference and Optimization Methods for Reliable Causal Inference
… squares (OLS) and two-stage least squares (TSLS) estimands can be expressed in terms of partial correlations. Leveraging the algebraic rules that relate different partial correlations, practitioners can specify intuitive sensitivity models which bound the bias. We further show that the heuristic …
-
Essays on health and healthcare economics
… regressions produce causally uninterpretable estimands when treatment effects vary across cohorts. We propose alternative estimators that identify convex averages of the cohort-specific treatment effects, hence allowing for causal interpretation even under heterogeneous treatment effects. We …
-
Causal Inference with Survival Outcomes via Orthogonal Statistical Learning
… direct effect, and separable effects as causal estimands and develop balancing-weighted double/debiased machine learning estimators for both cumulative incidence functions and restricted mean time lost, with all estimators satisfying Neyman orthogonality. Using the Clinical Practice Research …
-
Marginal Methods for the Design and Analysis of Cluster Randomized Trials and Related Studies
<p>Cluster randomized trials (CRTs) are used to study the effectiveness of complex or community-level interventions across a diverse range of contexts. These contexts present a range of logistical and statistical challenges to the design and analysis of CRTs and related studies, such as …