Enhanced precision in the analysis of randomized trials with ordinal outcomes
From MaRDI portal
Publication:5739266
DOI10.1111/biom.12450zbMath1419.62339OpenAlexW202450997WikidataQ50771718 ScholiaQ50771718MaRDI QIDQ5739266
Iván Díaz, Elizabeth Colantuoni, Michael G. Rosenblum
Publication date: 15 July 2016
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://biostats.bepress.com/jhubiostat/paper270
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
Related Items (3)
On the partial identification of a new causal measure for ordinal outcomes ⋮ Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes ⋮ Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards
Uses Software
Cites Work
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Nonparametric causal effects based on marginal structural models
- Bounded, efficient and doubly robust estimation with inverse weighting
- Improved double-robust estimation in missing data and causal inference models
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
- A Distributional Approach for Causal Inference Using Propensity Scores
- Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates
- Better Bootstrap Confidence Intervals
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations
- A Generalization of Sampling Without Replacement From a Finite Universe
This page was built for publication: Enhanced precision in the analysis of randomized trials with ordinal outcomes
