Related Experiment Video
Updated: Jan 5, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Applying CHW method to 2-in-1 design: gain or lose?
1a Department of Biostatistics and Data Sciences, Boehringer-Ingelheim Pharmaceuticals, Inc ., Ridgefield , CT , USA.
Abstract:
The 2-in-1 design allows the possibility of seamlessly expanding a phase II study to confirmatory phase III study and controls type I error without multiplicity adjustment. In this paper, we applied the CHW method to the 2-in-1 design strategy, and compared it with the unweighted conventional test statistics. It shows that when the interim decision threshold is high enough, the CHW method is slightly more powerful. Otherwise, results based on the CHW method can be difficult to interpret when the estimated treatment effects differ notably between interim and final analysis, which may be avoided by using the conventional test statistic.
Related Concept Videos
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Crossover Experiments
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Factorial Design
Cochran's Q Test
Study Design in Statistics
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

