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Ariel Linden

Showing results (1-10 of 89) with videos related to

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Evaluation & the Health Professions|August 11, 2010
Designing a prospective study when randomization is not feasibleAriel Linden
Journal of Evaluation in Clinical Practice|January 8, 2011
Identifying spin in health management evaluationsAriel Linden
Biomed Research International|December 5, 2015
Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing DataAriel Linden
Journal of Evaluation in Clinical Practice|July 14, 2018
Using randomization tests to assess treatment effects in multiple-group interrupted time series analysisAriel Linden
BMC Medical Research Methodology|October 1, 2013
Assessing regression to the mean effects in health care initiativesAriel Linden
Evaluation & the Health Professions|March 17, 2026
Power Considerations for Multiple-Group (Controlled) Interrupted Time Series Analysis: A Comprehensive Simulation StudyAriel Linden
Health Affairs (Project Hope)|September 11, 2008
Disease management: truth in advertisingAriel Linden
Journal of Evaluation in Clinical Practice|November 3, 2016
Persistent threats to validity in single-group interrupted time series analysis with a cross over designAriel Linden
Journal of Evaluation in Clinical Practice|January 12, 2017
A comparison of approaches for stratifying on the propensity score to reduce biasAriel Linden
Journal of Evaluation in Clinical Practice|December 30, 2014
Graphical displays for assessing covariate balance in matching studiesAriel Linden
Pageof 9

Showing results (1-10 of 89) with videos related to

Sort By:
Pageof 9
Evaluation & the Health Professions|August 11, 2010
Designing a prospective study when randomization is not feasibleAriel Linden
Journal of Evaluation in Clinical Practice|January 8, 2011
Identifying spin in health management evaluationsAriel Linden
Biomed Research International|December 5, 2015
Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing DataAriel Linden
Journal of Evaluation in Clinical Practice|July 14, 2018
Using randomization tests to assess treatment effects in multiple-group interrupted time series analysisAriel Linden
BMC Medical Research Methodology|October 1, 2013
Assessing regression to the mean effects in health care initiativesAriel Linden
Evaluation & the Health Professions|March 17, 2026
Power Considerations for Multiple-Group (Controlled) Interrupted Time Series Analysis: A Comprehensive Simulation StudyAriel Linden
Health Affairs (Project Hope)|September 11, 2008
Disease management: truth in advertisingAriel Linden
Journal of Evaluation in Clinical Practice|November 3, 2016
Persistent threats to validity in single-group interrupted time series analysis with a cross over designAriel Linden
Journal of Evaluation in Clinical Practice|January 12, 2017
A comparison of approaches for stratifying on the propensity score to reduce biasAriel Linden
Journal of Evaluation in Clinical Practice|December 30, 2014
Graphical displays for assessing covariate balance in matching studiesAriel Linden
Pageof 9