arbiter
JournalsPricingAccount

Application of principal stratification in crossover and parallel clinical trial designs

Bahareh Afhami et al.

Journal of Biopharmaceutical Statistics2026https://doi.org/10.1080/10543406.2026.2627386article
ABDC C
Weight
0.50

What the paper says

Estimating causal effects is crucial in clinical research for assessing treatment efficacy across various study designs. This paper explores causal effect estimation using the crossover and parallel models widely used in clinical trials. We investigate the application of principal stratification within both designs, focusing on key assumptions such as ignorability and no interference between units. Using a real-world example of basal insulin regimens, we compare treatment effect estimates derived from principal stratification with those obtained without these assumptions. Our findings illustrate that these methodologies yield reliable causal effect estimates, improving the accuracy of treatment effect evaluation in clinical trials.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1080/10543406.2026.2627386

Or copy a formatted citation

@article{bahareh2026,
  title        = {{Application of principal stratification in crossover and parallel clinical trial designs}},
  author       = {Bahareh Afhami et al.},
  journal      = {Journal of Biopharmaceutical Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/10543406.2026.2627386},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Application of principal stratification in crossover and parallel clinical trial designs

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.