Comparing approaches to causal inference for longitudinal data: inverse probability weighting versus propensity scores.

@article{Ertefaie2010ComparingAT,
  title={Comparing approaches to causal inference for longitudinal data: inverse probability weighting versus propensity scores.},
  author={Ashkan Ertefaie and David A Stephens},
  journal={The international journal of biostatistics},
  year={2010},
  volume={6 2},
  pages={
          Article 14
        }
}
In observational studies for causal effects, treatments are assigned to experimental units without the benefits of randomization. As a result, there is the potential for bias in the estimation of the treatment effect. Two methods for estimating the causal effect consistently are Inverse Probability of Treatment Weighting (IPTW) and the Propensity Score (PS). We demonstrate that in many simple cases, the PS method routinely produces estimators with lower Mean-Square Error (MSE). In the… CONTINUE READING

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“ Estimation of Dose - Response Functions for Longitudinal Data ” , Statistical Methods in Medical Research

E. E. M. Moodie, D. A. Stephens
  • 2010
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