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BMC 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 LindenJournal of Evaluation in Clinical Practice|December 30, 2014
Graphical displays for assessing covariate balance in matching studiesAriel LindenJournal of Evaluation in Clinical Practice|May 12, 2018
Using forecast modelling to evaluate treatment effects in single-group interrupted time series analysisAriel LindenEvaluation & the Health Professions|July 15, 2025
A Comprehensive Simulation Study to Evaluate the Effect Size and Study Length Relationship in Single-Group Interrupted Time Series AnalysisAriel LindenJournal of Evaluation in Clinical Practice|February 21, 2018
Using permutation tests to enhance causal inference in interrupted time series analysisAriel LindenJournal of Evaluation in Clinical Practice|January 23, 2018
Combining synthetic controls and interrupted time series analysis to improve causal inference in program evaluationAriel LindenJournal of Evaluation in Clinical Practice|December 22, 2017
A matching framework to improve causal inference in interrupted time-series analysisAriel LindenPageof 18