16 citations · 23 across the 6 of their papers we have counts for
6 papers
A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making
Indrabati Bhattacharya, Brent A. Johnson, William Artman +4
Existing methods in estimating the mean outcome under a given dynamic treatment regime rely on intention-to-treat analyses which estimate the effect of following a certain dynamic…
Adjusting for Partial Compliance in SMARTs: a Bayesian Semiparametric Approach
William J. Artman, Ashkan Ertefaie, Kevin G. Lynch +2
The cyclical and heterogeneous nature of many substance use disorders highlights the need to adapt the type or the dose of treatment to accommodate the specific and changing needs…
Propensity Process: a Balancing Functional
Pallavi S. Mishra-Kalyani, Brent A. Johnson, Qi Long
In observational clinic registries, time to treatment is often of interest, but treatment can be given at any time during follow-up and there is no structure or intervention to ens…
Estimating the effect of PEG in ALS patients using observational data subject to censoring by death and missing outcomes
Pallavi Mishra-Kalyani, Brent A. Johnson, Jonathan D. Glass +1
Though they may offer valuable patient and disease information that is impossible to study in a randomized trial, clinical disease registries also require special care and attentio…
Risk prediction for prostate cancer recurrence through regularized estimation with simultaneous adjustment for nonlinear clinical effects
Qi Long, Matthias Chung, Carlos S. Moreno +1
In biomedical studies it is of substantial interest to develop risk prediction scores using high-dimensional data such as gene expression data for clinical endpoints that are subje…
Survival ensembles by the sum of pairwise differences with application to lung cancer microarray studies
Brent A. Johnson, Qi Long
Lung cancer is among the most common cancers in the United States, in terms of incidence and mortality. In 2009, it is estimated that more than 150,000 deaths will result from lung…