JSTOR Daily

Resampling Methods for Confidence Intervals in Group Sequential Trials

This is a preview. Log in through your library . Abstract Resampling methods are introduced for the construction of confidence intervals for treatment effects associated with the primary and secondary ...
Nature

An application of bootstrap resampling method to obtain confidence interval for percentile fatness cutoff points in childhood and adolescence overweight diagnoses

To present a resampling approach to obtain confidence intervals (CIs) and the empirical distributions for the studentized regression residuals percentiles when used as cutoff points for overweight and ...
JSTOR Daily

The Use of Resampling Methods to Simplify Regression Models in Medical Statistics

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 48, No. 3 (1999), pp. 313-329 (17 pages) The number of variables in a regression model is often too large and a more ...
ascopubs.org

Clinical Utility of Metrics Based on Tumor Measurements in Phase II Trials to Predict Overall Survival Outcomes in Phase III Trials by Using Resampling Methods

Randomized, Double-Blind, Phase II Study of Ruxolitinib or Placebo in Combination With Capecitabine in Patients With Metastatic Pancreatic Cancer for Whom Therapy With Gemcitabine Has Failed Phase II ...
CU Boulder News & Events

Monte Carlo Simulation and Resampling Methods for Social Science

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and ...
Statistisches Bundesamt

Events Conference on Foundations and Advances of Machine Learning in Official Statistics, 3rd to 5th April, 2024

Estimating the generalization error (GE) of machine learning models is fundamental, with resampling methods being the most common approach. However, in non-standard ...