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  1. 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.
  • 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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  • 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.
  • 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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  • 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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  • 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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  • 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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  • Challenges to Validity in Single‐Group Interrupted Time Series Analysis.Ariel Linden - 2017 - Journal of Evaluation in Clinical Practice 23 (2):413-418.
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  • 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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  • 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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  • 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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  • 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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  • 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.