A one-step outcome imputation estimator is introduced as an alternative to multiple imputation for RCTs with missing data, constructing an efficient estimator via the influence function to achieve asymptotically valid inference.
Statistics in Biopharmaceutical Research , volume =
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A Bayesian method constructs credible hyperrectangles from posteriors to compare high-dimensional correlation matrices in brain connectivity analysis, with theoretical guarantees under the inverse-Wishart model.
The paper introduces the EUII, derived from diagnostic likelihood ratios adjusted for sample size, to quantify evidentiary value per experimental unit and applies it to group-sequential adaptive designs for animal research.
The paper introduces a question-driven framework and set of statistical methods for exploratory assessment of regional treatment effect heterogeneity in multi-regional clinical trials, evaluated via simulations under no-heterogeneity and modifier-driven scenarios.
citing papers explorer
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One-step Outcome Imputation: An Alternative to Multiple Imputation
A one-step outcome imputation estimator is introduced as an alternative to multiple imputation for RCTs with missing data, constructing an efficient estimator via the influence function to achieve asymptotically valid inference.
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Credible rectangles for high-dimensional posterior comparison
A Bayesian method constructs credible hyperrectangles from posteriors to compare high-dimensional correlation matrices in brain connectivity analysis, with theoretical guarantees under the inverse-Wishart model.
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Balancing Evidentiary Value and Sample Size of Adaptive Designs with Application to Animal Experiments
The paper introduces the EUII, derived from diagnostic likelihood ratios adjusted for sample size, to quantify evidentiary value per experimental unit and applies it to group-sequential adaptive designs for animal research.
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A Workflow for Evaluating Regional Treatment Effect Heterogeneity in Multi-Regional Clinical Trials
The paper introduces a question-driven framework and set of statistical methods for exploratory assessment of regional treatment effect heterogeneity in multi-regional clinical trials, evaluated via simulations under no-heterogeneity and modifier-driven scenarios.