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AIDS (London, England)|March 4, 2006
The potential impact of enhanced diagnostic techniques for tuberculosis driven by HIV: a mathematical modelDavid W Dowdy, Richard E Chaisson, Lawrence H Moulton, et al.Medrxiv : the Preprint Server for Health Sciences|February 17, 2023
Trials underestimate the impact of preventive treatment for household contacts exposed to multidrug-resistant tuberculosis: a simulation studyParastu Kasaie, Jeff Pennington, Amita Gupta, et al.American Journal of Epidemiology|October 10, 2017
Using Sensitivity Analyses for Unobserved Confounding to Address Covariate Measurement Error in Propensity Score MethodsKara E Rudolph, Elizabeth A StuartDevelopmental Psychology|March 12, 2008
Using full matching to estimate causal effects in nonexperimental studies: examining the relationship between adolescent marijuana use and adult outcomesElizabeth A Stuart, Kerry M GreenClinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|June 22, 2013
Challenges in evaluating the cost-effectiveness of new diagnostic tests for HIV-associated tuberculosisJason R Andrews, Stephen D Lawn, David W Dowdy, et al.Elife|June 6, 2014
A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosisDavid W Dowdy, Jason R Andrews, Peter J Dodd, et al.Multivariate Behavioral Research|January 12, 2011
Matching methods for selection of subjects for follow-upElizabeth A Stuart, Nicholas S IalongoJournal of Consulting and Clinical Psychology|April 16, 2014
Examining moderation analyses in propensity score methods: application to depression and substance useKerry M Green, Elizabeth A StuartStatistical Methods in Medical Research|September 3, 2015
Estimating the effect of treatment on binary outcomes using full matching on the propensity scorePeter C Austin, Elizabeth A StuartStatistics in Medicine|October 7, 2020
The effect of a constraint on the maximum number of controls matched to each treated subject on the performance of full matching on the propensity score when estimating risk differencesPeter C Austin, Elizabeth A StuartPageof 61