Stats & Data Science Views has published a number of Layman’s Abstracts for articles recently published in Pharmaceutical Statistics. The aim is to highlight the latest research to a broader audience in an accessible format. Read this collection of abstracts published since October 2020.

• Gebski, V, Byth, K, Asher, R, Marschner, I. Recurrent time‐to‐event models with ordinal outcomes. Pharmaceutical Statistics. 2021; 77–92. https://doi.org/10.1002/pst.2057  Layman’s Abstract

• Law, M, Grayling, MJ, Mander, AP. A stochastically curtailed two‐arm randomised phase II trial design for binary outcomes. Pharmaceutical Statistics. 2020; 1– 17. https://doi.org/10.1002/pst.2067  Layman’s Abstract  Open Access

• Nguyen Duc, A, Heinzmann, D, Berge, C, Wolbers, M. A pragmatic adaptive enrichment design for selecting the right target population for cancer immunotherapies. Pharmaceutical Statistics. 2020; 1– 10. https://doi.org/10.1002/pst.2066  Layman’s Abstract

• Basu, C, Ma, X, Mo, M, et al. Pharmacokinetic/pharmacodynamic data extrapolation models for improved pediatric efficacy and toxicity estimation, with application to secondary hyperparathyroidism. Pharmaceutical Statistics. 2020; 882– 896. https://doi.org/10.1002/pst.2043  Layman’s Abstract