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Ariel Linden

Showing results (11-20 of 89) with videos related to

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Journal of Evaluation in Clinical Practice|May 12, 2018
Using forecast modelling to evaluate treatment effects in single-group interrupted time series analysisAriel Linden
Evaluation & 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 Linden
Journal of Evaluation in Clinical Practice|February 21, 2018
Using permutation tests to enhance causal inference in interrupted time series analysisAriel Linden
Journal of Evaluation in Clinical Practice|January 23, 2018
Combining synthetic controls and interrupted time series analysis to improve causal inference in program evaluationAriel Linden
Journal of Evaluation in Clinical Practice|December 22, 2017
A matching framework to improve causal inference in interrupted time-series analysisAriel Linden
The Israel Medical Association Journal : IMAJ|November 28, 2006
Is Israel ready for disease management?Ariel Linden
Journal of Evaluation in Clinical Practice|September 16, 2016
Challenges to validity in single-group interrupted time series analysisAriel Linden
Journal of Evaluation in Clinical Practice|April 17, 2018
Using group-based trajectory modelling to enhance causal inference in interrupted time series analysisAriel Linden
Journal of Evaluation in Clinical Practice|April 4, 2006
Measuring diagnostic and predictive accuracy in disease management: an introduction to receiver operating characteristic (ROC) analysisAriel Linden
Journal of Evaluation in Clinical Practice|October 1, 2014
Combining propensity score-based stratification and weighting to improve causal inference in the evaluation of health care interventionsAriel Linden
Pageof 9

Showing results (11-20 of 89) with videos related to

Sort By:
Pageof 9
Journal of Evaluation in Clinical Practice|May 12, 2018
Using forecast modelling to evaluate treatment effects in single-group interrupted time series analysisAriel Linden
Evaluation & 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 Linden
Journal of Evaluation in Clinical Practice|February 21, 2018
Using permutation tests to enhance causal inference in interrupted time series analysisAriel Linden
Journal of Evaluation in Clinical Practice|January 23, 2018
Combining synthetic controls and interrupted time series analysis to improve causal inference in program evaluationAriel Linden
Journal of Evaluation in Clinical Practice|December 22, 2017
A matching framework to improve causal inference in interrupted time-series analysisAriel Linden
The Israel Medical Association Journal : IMAJ|November 28, 2006
Is Israel ready for disease management?Ariel Linden
Journal of Evaluation in Clinical Practice|September 16, 2016
Challenges to validity in single-group interrupted time series analysisAriel Linden
Journal of Evaluation in Clinical Practice|April 17, 2018
Using group-based trajectory modelling to enhance causal inference in interrupted time series analysisAriel Linden
Journal of Evaluation in Clinical Practice|April 4, 2006
Measuring diagnostic and predictive accuracy in disease management: an introduction to receiver operating characteristic (ROC) analysisAriel Linden
Journal of Evaluation in Clinical Practice|October 1, 2014
Combining propensity score-based stratification and weighting to improve causal inference in the evaluation of health care interventionsAriel Linden
Pageof 9