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Journal of Evaluation in Clinical Practice|April 4, 2017
Using classification tree analysis to generate propensity score weightsAriel Linden, Paul R YarnoldJournal of Evaluation in Clinical Practice|June 1, 2016
Using machine learning to model dose-response relationshipsAriel Linden, Paul R Yarnold, Brahmajee K NallamothuEvaluation & the Health Professions|August 11, 2010
Designing a prospective study when randomization is not feasibleAriel LindenJournal of Evaluation in Clinical Practice|January 8, 2011
Identifying spin in health management evaluationsAriel LindenBiomed Research International|December 5, 2015
Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing DataAriel LindenJournal of Evaluation in Clinical Practice|July 14, 2018
Using randomization tests to assess treatment effects in multiple-group interrupted time series analysisAriel LindenBMC Medical Research Methodology|October 1, 2013
Assessing regression to the mean effects in health care initiativesAriel LindenEvaluation & the Health Professions|March 17, 2026
Power Considerations for Multiple-Group (Controlled) Interrupted Time Series Analysis: A Comprehensive Simulation StudyAriel LindenJournal of Evaluation in Clinical Practice|November 3, 2016
Persistent threats to validity in single-group interrupted time series analysis with a cross over designAriel LindenJournal of Evaluation in Clinical Practice|January 12, 2017
A comparison of approaches for stratifying on the propensity score to reduce biasAriel LindenPageof 14