37 found
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  1.  6
    Using Machine Learning to Assess Covariate Balance in Matching Studies.Ariel Linden & Paul R. Yarnold - 2016 - Journal of Evaluation in Clinical Practice 22 (6):848-854.
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  2.  21
    Using Data Mining Techniques to Characterize Participation in Observational Studies.Ariel Linden & Paul R. Yarnold - 2016 - Journal of Evaluation in Clinical Practice 22 (6):839-847.
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  3.  9
    Using Machine Learning to Identify Structural Breaks in Single-Group Interrupted Time Series Designs.Ariel Linden & Paul R. Yarnold - 2016 - Journal of Evaluation in Clinical Practice 22 (6):855-859.
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  4.  12
    A Matching Framework to Improve Causal Inference in Interrupted Time-Series Analysis.Ariel Linden - 2018 - Journal of Evaluation in Clinical Practice 24 (2):408-415.
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  5.  11
    Combining Synthetic Controls and Interrupted Time Series Analysis to Improve Causal Inference in Program Evaluation.Ariel Linden - 2018 - Journal of Evaluation in Clinical Practice 24 (2):447-453.
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  6.  8
    Persistent Threats to Validity in Single‐Group Interrupted Time Series Analysis with a Cross Over Design.Ariel Linden - 2017 - Journal of Evaluation in Clinical Practice 23 (2):419-425.
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  7.  11
    Using Permutation Tests to Enhance Causal Inference in Interrupted Time Series Analysis.Ariel Linden - 2018 - Journal of Evaluation in Clinical Practice 24 (3):496-501.
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  8.  12
    Combining Machine Learning and Matching Techniques to Improve Causal Inference in Program Evaluation.Ariel Linden & Paul R. Yarnold - 2016 - Journal of Evaluation in Clinical Practice 22 (6):868-874.
  9.  4
    Combining Machine Learning and Propensity Score Weighting to Estimate Causal Effects in Multivalued Treatments.Ariel Linden & Paul R. Yarnold - 2016 - Journal of Evaluation in Clinical Practice 22 (6):875-885.
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  10.  12
    Using Group-Based Trajectory Modelling to Enhance Causal Inference in Interrupted Time Series Analysis.Ariel Linden - 2018 - Journal of Evaluation in Clinical Practice 24 (3):502-507.
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  11.  27
    Applying a Propensity Score‐Based Weighting Model to Interrupted Time Series Data: Improving Causal Inference in Programme Evaluation.Ariel Linden & John L. Adams - 2011 - Journal of Evaluation in Clinical Practice 17 (6):1231-1238.
  12.  6
    Using Machine Learning to Model Dose-Response Relationships.Ariel Linden, Paul R. Yarnold & Brahmajee K. Nallamothu - 2016 - Journal of Evaluation in Clinical Practice 22 (6):860-867.
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  13.  7
    Combining Propensity Score-Based Stratification and Weighting to Improve Causal Inference in the Evaluation of Health Care Interventions.Ariel Linden - 2014 - Journal of Evaluation in Clinical Practice 20 (6):1065-1071.
  14.  17
    Using Propensity Score‐Based Weighting in the Evaluation of Health Management Programme Effectiveness.Ariel Linden & John L. Adams - 2010 - Journal of Evaluation in Clinical Practice 16 (1):175-179.
  15.  38
    Strengthening the Case for Disease Management Effectiveness: Un‐Hiding the Hidden Bias.Ariel Linden, John L. Adams & Nancy Roberts - 2006 - Journal of Evaluation in Clinical Practice 12 (2):140-147.
  16.  7
    Graphical Displays for Assessing Covariate Balance in Matching Studies.Ariel Linden - 2015 - Journal of Evaluation in Clinical Practice 21 (2):242-247.
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  17.  21
    Evaluating Disease Management Programme Effectiveness: An Introduction to Instrumental Variables.Ariel Linden & John L. Adams - 2006 - Journal of Evaluation in Clinical Practice 12 (2):148-154.
  18.  37
    Measuring Diagnostic and Predictive Accuracy in Disease Management: An Introduction to Receiver Operating Characteristic (ROC) Analysis.Ariel Linden - 2006 - Journal of Evaluation in Clinical Practice 12 (2):132-139.
  19.  9
    Evaluating Health Management Programmes Over Time: Application of Propensity Score‐Based Weighting to Longitudinal Data.Ariel Linden & John L. Adams - 2010 - Journal of Evaluation in Clinical Practice 16 (1):180-185.
  20.  41
    Using Balance Statistics to Determine the Optimal Number of Controls in Matching Studies.Ariel Linden & Steven J. Samuels - 2013 - Journal of Evaluation in Clinical Practice 19 (5):968-975.
  21.  8
    Modeling Time-to-Event Data Using Classification Tree Analysis.Ariel Linden & Paul R. Yarnold - 2017 - Journal of Evaluation in Clinical Practice 23 (6):1299-1308.
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  22.  20
    Combining the Regression Discontinuity Design and Propensity Score‐Based Weighting to Improve Causal Inference in Program Evaluation.Ariel Linden & John L. Adams - 2012 - Journal of Evaluation in Clinical Practice 18 (2):317-325.
  23.  14
    Identifying Spin in Health Management Evaluations.Ariel Linden - 2011 - Journal of Evaluation in Clinical Practice 17 (6):1223-1230.
  24.  4
    Using Machine Learning to Evaluate Treatment Effects in Multiple-Group Interrupted Time Series Analysis.Ariel Linden & Paul R. Yarnold - 2018 - Journal of Evaluation in Clinical Practice 24 (4):740-744.
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  25.  11
    Identifying Causal Mechanisms in Health Care Interventions Using Classification Tree Analysis.Ariel Linden & Paul R. Yarnold - 2018 - Journal of Evaluation in Clinical Practice 24 (2):353-361.
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  26.  30
    Evaluating Disease Management Programme Effectiveness: An Introduction to the Regression Discontinuity Design.Ariel Linden, John L. Adams & Nancy Roberts - 2006 - Journal of Evaluation in Clinical Practice 12 (2):124-131.
  27.  21
    Motivational Interviewing‐Based Health Coaching as a Chronic Care Intervention.Ariel Linden, Susan W. Butterworth & James O. Prochaska - 2010 - Journal of Evaluation in Clinical Practice 16 (1):166-174.
  28.  17
    Improving Participant Selection in Disease Management Programmes: Insights Gained From Propensity Score Stratification.Ariel Linden & John L. Adams - 2008 - Journal of Evaluation in Clinical Practice 14 (5):914-918.
  29.  4
    The Case‐Mix of Chronic Illness Hospitalization Rates in a Managed Care Population: Implications for Health Management Programmes.Ariel Linden & Steven Goldberg - 2007 - Journal of Evaluation in Clinical Practice 13 (6):947-951.
  30.  5
    Using Forecast Modelling to Evaluate Treatment Effects in Single-Group Interrupted Time Series Analysis.Ariel Linden - 2018 - Journal of Evaluation in Clinical Practice 24 (4):695-700.
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  31.  13
    Maximizing Predictive Accuracy By P. R. Yarnold R. C. Soltysik. ODA Books, Chicago, IL, 2016, $98.00, 396 Pp. ISBN 0 692 70092 7. [REVIEW]Ariel Linden - 2016 - Journal of Evaluation in Clinical Practice 22 (6):835-838.
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  32.  7
    Minimizing Imbalances on Patient Characteristics Between Treatment Groups in Randomized Trials Using Classification Tree Analysis.Ariel Linden & Paul R. Yarnold - 2017 - Journal of Evaluation in Clinical Practice 23 (6):1309-1315.
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  33.  7
    Estimating Causal Effects for Survival Outcomes by Combining Classification Tree Analysis and Propensity Score Weighting.Ariel Linden & Paul R. Yarnold - 2018 - Journal of Evaluation in Clinical Practice 24 (2):380-387.
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  34.  9
    Improving Causal Inference with a Doubly Robust Estimator That Combines Propensity Score Stratification and Weighting.Ariel Linden - 2017 - Journal of Evaluation in Clinical Practice 23 (4):697-702.
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  35.  18
    Determining If Disease Management Saves Money: An Introduction to Meta‐Analysis.Ariel Linden & John L. Adams - 2007 - Journal of Evaluation in Clinical Practice 13 (3):400-407.
  36.  13
    Estimating Measurement Error When Annualizing Health Care Costs.Ariel Linden & Steven J. Samuels - 2013 - Journal of Evaluation in Clinical Practice 19 (5):933-937.
  37. Using Randomization Tests to Assess Treatment Effects in Multiple-Group Interrupted Time Series Analysis.Ariel Linden - 2019 - Journal of Evaluation in Clinical Practice 25 (1):5-10.
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