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Ariel Linden

Showing results (41-50 of 89) with videos related to

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Journal of Evaluation in Clinical Practice|April 7, 2010
Using propensity score-based weighting in the evaluation of health management programme effectivenessAriel Linden, John L Adams
Journal of Evaluation in Clinical Practice|July 17, 2016
Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatmentsAriel Linden, Paul R Yarnold
Journal of Evaluation in Clinical Practice|January 26, 2016
Using data mining techniques to characterize participation in observational studiesAriel Linden, Paul R Yarnold
Journal of Evaluation in Clinical Practice|March 24, 2016
Using machine learning to assess covariate balance in matching studiesAriel Linden, Paul R Yarnold
Journal of Evaluation in Clinical Practice|December 13, 2017
Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weightingAriel Linden, Paul R Yarnold
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 Yarnold
BMC 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 Linden
Journal of Evaluation in Clinical Practice|April 4, 2006
Evaluating disease management programme effectiveness: an introduction to instrumental variablesAriel Linden, John L Adams
Journal 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 Yarnold
Journal of Evaluation in Clinical Practice|February 7, 2012
Combining the regression discontinuity design and propensity score-based weighting to improve causal inference in program evaluationAriel Linden, John L Adams
Pageof 9

Showing results (41-50 of 89) with videos related to

Sort By:
Pageof 9
Journal of Evaluation in Clinical Practice|April 7, 2010
Using propensity score-based weighting in the evaluation of health management programme effectivenessAriel Linden, John L Adams
Journal of Evaluation in Clinical Practice|July 17, 2016
Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatmentsAriel Linden, Paul R Yarnold
Journal of Evaluation in Clinical Practice|January 26, 2016
Using data mining techniques to characterize participation in observational studiesAriel Linden, Paul R Yarnold
Journal of Evaluation in Clinical Practice|March 24, 2016
Using machine learning to assess covariate balance in matching studiesAriel Linden, Paul R Yarnold
Journal of Evaluation in Clinical Practice|December 13, 2017
Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weightingAriel Linden, Paul R Yarnold
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 Yarnold
BMC 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 Linden
Journal of Evaluation in Clinical Practice|April 4, 2006
Evaluating disease management programme effectiveness: an introduction to instrumental variablesAriel Linden, John L Adams
Journal 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 Yarnold
Journal of Evaluation in Clinical Practice|February 7, 2012
Combining the regression discontinuity design and propensity score-based weighting to improve causal inference in program evaluationAriel Linden, John L Adams
Pageof 9