Graphing and reporting heterogeneous treatment effects through reference classes

由 James A. Watson, Chris C. Holmes
出版 2020

Machine learning analysis plans for randomised controlled trials: Detecting treatment effect heterogeneity with strict control of type i error

由 James A. Watson, Chris C. Holmes
出版 2020

Correction to: Graphing and reporting heterogeneous treatment effects through reference classes (Trials, (2020), 21, 1, (386), 10.1186/s13063-020-04306-1)

由 James A. Watson, Chris C. Holmes
出版 2020

A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices

由 James A. Watson, Aimee R. Taylor, Elizabeth A. Ashley, Arjen Dondorp, Caroline O. Buckee, Nicholas J. White, Chris C. Holmes
出版 2020

Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision

由 James A. Watson, Carolyne M. Ndila, Sophie Uyoga, Alexander Macharia, Gideon Nyutu, Shebe Mohammed, Caroline Ngetsa, Neema Mturi, Norbert Peshu, Benjamin Tsofa, Kirk Rockett, Stije Leopold, Hugh Kingston, Elizabeth C. George, Kathryn Maitland, Nicholas P.J. Day, Arjen M. Dondorp, Philip Bejon, Thomas Williams, Chris C. Holmes, Nicholas J. White
出版 2022