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

@article{Linden2011ApplyingAP,
  title={Applying a propensity score-based weighting model to interrupted time series data: improving causal inference in programme evaluation.},
  author={Ariel Linden and John L. Adams},
  journal={Journal of evaluation in clinical practice},
  year={2011},
  volume={17 6},
  pages={
          1231-8
        }
}
Often, when conducting programme evaluations or studying the effects of policy changes, researchers may only have access to aggregated time series data, presented as observations spanning both the pre- and post-intervention periods. The most basic analytic model using these data requires only a single group and models the intervention effect using repeated measurements of the dependent variable. This model controls for regression to the mean and is likely to detect a treatment effect if it is… CONTINUE READING
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