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Biometrics|September 29, 2021
Accounting for post-randomization variables in meta-analysis: A joint meta-regression approachQinshu Lian, Jing Zhang, James S Hodges, et al.Biometrics|March 29, 2022
Score test for missing at random or not under logistic missingness modelsHairu Wang, Zhiping Lu, Yukun LiuBiometrics|March 31, 2022
A note on familywise error rate for a primary and secondary endpointMichael A Proschan, Dean A FollmannBiometrics|April 1, 2022
Rejoinder to the discussions of "Spatial+: A novel approach to spatial confounding"Emiko Dupont, Simon N Wood, Nicole H AugustinBiometrics|March 29, 2022
Increasing efficiency and reducing bias when assessing HPV vaccination efficacy by using nontargeted HPV strainsLola Etievant, Joshua N Sampson, Mitchell H GailBiometrics|March 30, 2022
Domain selection and familywise error rate for functional data: A unified frameworkKonrad Abramowicz, Alessia Pini, Lina Schelin, et al.Biometrics|February 26, 2022
Leveraging a surrogate outcome to improve inference on a partially missing target outcomeZachary R McCaw, Sheila M Gaynor, Ryan Sun, et al.Biometrics|March 5, 2022
Feature screening with latent responsesCongran Yu, Wenwen Guo, Xinyuan Song, et al.Biometrics|October 11, 2019
Designing precision medicine trials to yield a greater population impactYing-Qi Zhao, Michael L LeBlancPageof 558