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Journal of Evaluation in Clinical Practice|June 12, 2018
Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysisAriel Linden, Paul R YarnoldBMC Medical Research Methodology|April 27, 2024
Problematic meta-analyses: Bayesian and frequentist perspectives on combining randomized controlled trials and non-randomized studiesJohn L Moran, Ariel LindenJournal of Evaluation in Clinical Practice|November 7, 2017
Identifying causal mechanisms in health care interventions using classification tree analysisAriel Linden, Paul R YarnoldJournal of Evaluation in Clinical Practice|April 20, 2016
Using machine learning to identify structural breaks in single-group interrupted time series designsAriel Linden, Paul R YarnoldJournal of Evaluation in Clinical Practice|August 1, 2012
Estimating measurement error when annualizing health care costsAriel Linden, Steven J SamuelsJournal of Evaluation in Clinical Practice|July 5, 2017
Minimizing imbalances on patient characteristics between treatment groups in randomized trials using classification tree analysisAriel Linden, Paul R YarnoldJournal of Evaluation in Clinical Practice|June 30, 2016
Combining machine learning and matching techniques to improve causal inference in program evaluationAriel Linden, Paul R YarnoldJournal of Evaluation in Clinical Practice|August 6, 2013
Using balance statistics to determine the optimal number of controls in matching studiesAriel Linden, Steven J SamuelsJournal of Evaluation in Clinical Practice|April 4, 2017
Using classification tree analysis to generate propensity score weightsAriel Linden, Paul R YarnoldDisease Management : DM|August 6, 2003
The complete "how to" guide for selecting a disease management vendorAriel Linden, Nancy Roberts, Kevin KeckPageof 18