List of works - Ariel Linden

A comparison of approaches for stratifying on the propensity score to reduce bias.

scientific article published on 10 January 2017

A comprehensive hospital-based intervention to reduce readmissions for chronically ill patients: a randomized controlled trial

scientific article published on October 2014

A conceptual framework for targeting prediabetes with lifestyle, clinical, and behavioral management interventions

scientific article published on February 2007

A matching framework to improve causal inference in interrupted time-series analysis

scientific article published on 20 December 2017

A user's guide to the disease management literature: recommendations for reporting and assessing program outcomes.

scientific article

Advancing current approaches to disease management evaluation: capitalizing on heterogeneity to understand what works and for whom

scientific article

An Assessment of the Total Population Approach for Evaluating Disease Management Program Effectiveness ⬇️

scientific article published on January 1, 2003

Applying a propensity score-based weighting model to interrupted time series data: improving causal inference in programme evaluation ⬇️

scientific article published on October 25, 2010

Assessing regression to the mean effects in health care initiatives

scientific article

Challenges to validity in single-group interrupted time series analysis

scientific article published on 14 September 2016

Combining machine learning and matching techniques to improve causal inference in program evaluation

scientific article published on 29 June 2016

Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments

scientific article published on 15 July 2016

Combining propensity score-based stratification and weighting to improve causal inference in the evaluation of health care interventions

scientific article published on 29 September 2014

Combining synthetic controls and interrupted time series analysis to improve causal inference in program evaluation

scientific article

Combining the regression discontinuity design and propensity score‐based weighting to improve causal inference in program evaluation ⬇️

scientific article published on February 5, 2012

Determining if disease management saves money: an introduction to meta-analysis

scientific article published on June 2007

Disease management interventions: what's in the black box?

scientific article

Disease management: truth in advertising

scientific article published on 01 September 2008

Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing Data

scientific article

Estimating causal effects for multivalued treatments: a comparison of approaches

scientific article published on 19 October 2015

Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weighting.

scientific article published on 12 December 2017

Estimating measurement error when annualizing health care costs

scientific article published on July 29, 2012

Evaluating disease management program effectiveness: an introduction to time-series analysis

scientific article published on January 2003

Evaluating disease management programme effectiveness: an introduction to the regression discontinuity design

scientific article

Evaluating health management programmes over time: application of propensity score-based weighting to longitudinal data

scientific article

Graphical displays for assessing covariate balance in matching studies

scientific article published on 26 December 2014

Help patients with chronic kidney disease stave off dialysis.

scientific article published in April 2010

Identifying causal mechanisms in health care interventions using classification tree analysis.

scientific article published on 3 November 2017

Identifying spin in health management evaluations ⬇️

scientific article published on 06 January 2011

Improving causal inference with a doubly robust estimator that combines propensity score stratification and weighting

scientific article published on 24 January 2017

Improving participant selection in disease management programmes: insights gained from propensity score stratification

scientific article published on October 2008

Is Israel ready for disease management?

scientific article published on October 2006

Measuring diagnostic and predictive accuracy in disease management: an introduction to receiver operating characteristic (ROC) analysis

scientific article

Medicare disease management in policy context

scientific article

Minimizing imbalances on patient characteristics between treatment groups in randomized trials using classification tree analysis.

scientific article

Modeling time-to-event (survival) data using classification tree analysis.

scientific article

Persistent threats to validity in single-group interrupted time series analysis with a cross over design

scientific article published on November 2016

Potential bias in "controls" used in a heart failure disease-management program

scientific article published in July 2005

Precommitting to choose wisely about low-value services: a stepped wedge cluster randomised trial.

scientific article published on 24 October 2017

Sample size in disease management program evaluation: the challenge of demonstrating a statistically significant reduction in admissions

scientific article published in April 2008

Strengthening the case for disease management effectiveness: un-hiding the hidden bias

scientific article

Use of an algorithm applied to urine drug screening to assess adherence to an oxycontin regimen.

scientific article published in November 2009

Using balance statistics to determine the optimal number of controls in matching studies ⬇️

scientific article published on August 3, 2013

Using classification tree analysis to generate propensity score weights

scientific article

Using data mining techniques to characterize participation in observational studies

scientific article

Using forecast modelling to evaluate treatment effects in single-group interrupted time series analysis

scientific article published on 11 May 2018

Using group-based trajectory modelling to enhance causal inference in interrupted time series analysis

scientific article published on 15 April 2018

Using machine learning to assess covariate balance in matching studies

scientific article

Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis

scientific article published on 11 June 2018

Using machine learning to identify structural breaks in single-group interrupted time series designs

scientific article

Using machine learning to model dose-response relationships

scientific article published on 30 May 2016

Using permutation tests to enhance causal inference in interrupted time series analysis

scientific article published on 20 February 2018

Using randomization tests to assess treatment effects in multiple-group interrupted time series analysis

scientific article published on 12 July 2018

List of works by Ariel Linden

A comparison of approaches for stratifying on the propensity score to reduce bias.

A comprehensive hospital-based intervention to reduce readmissions for chronically ill patients: a randomized controlled trial

A conceptual framework for targeting prediabetes with lifestyle, clinical, and behavioral management interventions

A matching framework to improve causal inference in interrupted time-series analysis

A user's guide to the disease management literature: recommendations for reporting and assessing program outcomes.

Advancing current approaches to disease management evaluation: capitalizing on heterogeneity to understand what works and for whom

An Assessment of the Total Population Approach for Evaluating Disease Management Program Effectiveness ⬇️

Applying a propensity score-based weighting model to interrupted time series data: improving causal inference in programme evaluation ⬇️

Assessing regression to the mean effects in health care initiatives

Challenges to validity in single-group interrupted time series analysis

Combining machine learning and matching techniques to improve causal inference in program evaluation

Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments

Combining propensity score-based stratification and weighting to improve causal inference in the evaluation of health care interventions

Combining synthetic controls and interrupted time series analysis to improve causal inference in program evaluation

Combining the regression discontinuity design and propensity score‐based weighting to improve causal inference in program evaluation ⬇️

Determining if disease management saves money: an introduction to meta-analysis

Disease management interventions: what's in the black box?

Disease management: truth in advertising

Estimating Measurement Error of the Patient Activation Measure for Respondents with Partially Missing Data

Estimating causal effects for multivalued treatments: a comparison of approaches

Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weighting.

Estimating measurement error when annualizing health care costs

Evaluating disease management program effectiveness: an introduction to time-series analysis

Evaluating disease management programme effectiveness: an introduction to the regression discontinuity design

Evaluating health management programmes over time: application of propensity score-based weighting to longitudinal data

Graphical displays for assessing covariate balance in matching studies

Help patients with chronic kidney disease stave off dialysis.

Identifying causal mechanisms in health care interventions using classification tree analysis.

Identifying spin in health management evaluations ⬇️

Improving causal inference with a doubly robust estimator that combines propensity score stratification and weighting

Improving participant selection in disease management programmes: insights gained from propensity score stratification

Is Israel ready for disease management?

Measuring diagnostic and predictive accuracy in disease management: an introduction to receiver operating characteristic (ROC) analysis

Medicare disease management in policy context

Minimizing imbalances on patient characteristics between treatment groups in randomized trials using classification tree analysis.

Modeling time-to-event (survival) data using classification tree analysis.

Persistent threats to validity in single-group interrupted time series analysis with a cross over design

Potential bias in "controls" used in a heart failure disease-management program

Precommitting to choose wisely about low-value services: a stepped wedge cluster randomised trial.

Sample size in disease management program evaluation: the challenge of demonstrating a statistically significant reduction in admissions

Strengthening the case for disease management effectiveness: un-hiding the hidden bias

Use of an algorithm applied to urine drug screening to assess adherence to an oxycontin regimen.

Using balance statistics to determine the optimal number of controls in matching studies ⬇️

Using classification tree analysis to generate propensity score weights

Using data mining techniques to characterize participation in observational studies

Using forecast modelling to evaluate treatment effects in single-group interrupted time series analysis

Using group-based trajectory modelling to enhance causal inference in interrupted time series analysis

Using machine learning to assess covariate balance in matching studies

Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis

Using machine learning to identify structural breaks in single-group interrupted time series designs

Using machine learning to model dose-response relationships

Using permutation tests to enhance causal inference in interrupted time series analysis

Using randomization tests to assess treatment effects in multiple-group interrupted time series analysis