Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
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- Statistics in Medicine
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doi.org/10.1002/sim.6607 →Countries where authors are citing Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
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Fields of papers citing Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
This network shows the impact of Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.
About Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
This paper, published in 2015, received 3.0k indexed citations . Written by Peter C. Austin and Elizabeth A. Stuart covering the research area of Statistics and Probability. It is primarily cited by scholars working on Statistics and Probability (305 citations), Cardiology and Cardiovascular Medicine (276 citations), Surgery (272 citations), Pulmonary and Respiratory Medicine (235 citations) and Epidemiology (218 citations). Published in Statistics in Medicine.
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This paper is also available at doi.org/10.1002/sim.6607.