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Statistical Methods in Medical Research|July 23, 2026
Evaluating and testing for actionable treatment effect heterogeneityMahsa Ashouri, Nicholas C HendersonPlos One|June 30, 2022
Interactive tool for clustering and forecasting patterns of Taiwan COVID-19 spreadMahsa Ashouri, Frederick Kin Hing PhoaJournal of the Royal Statistical Society. Series B, Statistical Methodology|August 30, 2016
Making the cut: improved ranking and selection for large-scale inferenceNicholas C Henderson, Michael A NewtonStatistics in Medicine|August 23, 2018
AR(1) latent class models for longitudinal count dataNicholas C Henderson, Paul J RathouzBiometrical Journal. Biometrische Zeitschrift|February 25, 2024
Nonparametric analysis of delayed treatment effects using single-crossing constraintsNicholas C Henderson, Kijoeng Nam, Dai FengJournal of the American Statistical Association|June 4, 2026
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Clinicogenomic DataRupam Bhattacharyya, Nicholas C Henderson, Veerabhadran BaladandayuthapaniJournal of Clinical Epidemiology|April 15, 2018
Considerations when assessing heterogeneity of treatment effect in patient-centered outcomes researchCatherine R Lesko, Nicholas C Henderson, Ravi VaradhanThe R Journal|January 15, 2015
Fast Pure R Implementation of GEE: Application of the Matrix PackageLee S McDaniel, Nicholas C Henderson, Paul J RathouzHealth Services & Outcomes Research Methodology|November 25, 2016
Bayesian analysis of heterogeneous treatment effects for patient-centered outcomes researchNicholas C Henderson, Thomas A Louis, Chenguang Wang, et al.Biostatistics (Oxford, England)|July 28, 2018
Individualized treatment effects with censored data via fully nonparametric Bayesian accelerated failure time modelsNicholas C Henderson, Thomas A Louis, Gary L Rosner, et al.Pageof 2