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  1. 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.
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  • 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.
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  • Identifying spin in health management evaluations.Ariel Linden - 2011 - Journal of Evaluation in Clinical Practice 17 (6):1223-1230.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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  • 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.
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