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Computational Statistics & Data Analysis|December 23, 2015
Using Retrospective Sampling to Estimate Models of Relationship Status in Large Longitudinal Social NetworksA James O'Malley, Sudeshna PaulBiometrical Journal. Biometrische Zeitschrift|December 31, 2024
Developing and Comparing Four Families of Bayesian Network Autocorrelation Models for Binary Outcomes: Estimating Peer Effects Involving Adoption of Medical TechnologiesGuanqing Chen, A James O'MalleyApplied Network Science|December 13, 2024
Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patientsGuanqing Chen, A James O'MalleyJournal of the Royal Statistical Society. Series C, Applied Statistics|January 29, 2019
Estimating the Causal Effect of Treatment in Observational Studies with Survival Time Endpoints and Unmeasured ConfoundingJaeun Choi, A James O'MalleyHealth Affairs (Project Hope)|February 5, 2014
Use of telemedicine can reduce hospitalizations of nursing home residents and generate savings for medicareDavid C Grabowski, A James O'MalleyBMC Medical Research Methodology|July 1, 2020
Don't dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learningJoshua J Levy, A James O'MalleyStatistics in Medicine|February 3, 2011
Longitudinal analysis of large social networks: estimating the effect of health traits on changes in friendship tiesA James O'Malley, Nicholas A ChristakisBiometrical Journal. Biometrische Zeitschrift|September 16, 2005
A Bayesian hierarchical non-linear regression model in receiver operating characteristic analysis of clustered continuous diagnostic dataKelly H Zou, A James O'MalleyStatistics in Medicine|October 12, 2005
Bayesian multivariate hierarchical transformation models for ROC analysisA James O'Malley, Kelly H ZouBiometrics|July 14, 2005
Likelihood methods for treatment noncompliance and subsequent nonresponse in randomized trialsA James O'Malley, Sharon-Lise T NormandPageof 29