Optimised point estimators for multi-stage single-arm phase II oncology trials

1Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The uniform minimum variance unbiased estimator (UMVUE) is, by definition, a solution to removing bias in estimation following a multi-stage single-arm trial with a primary dichotomous outcome. However, the UMVUE is known to have large residual mean squared error (RMSE). Therefore, we develop an optimisation approach to finding estimators with reduced RMSE for many response rates, which attain low bias. We demonstrate that careful choice of the optimisation parameters can lead to an estimator with often substantially reduced RMSE, without the introduction of appreciable bias.

Cite

CITATION STYLE

APA

Grayling, M. J., & Mander, A. P. (2022). Optimised point estimators for multi-stage single-arm phase II oncology trials. Journal of Biopharmaceutical Statistics, 32(6), 817–831. https://doi.org/10.1080/10543406.2022.2041656

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free