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Weber et al. BMC Medical Research Methodology https://doi.org/10.1186/s1287401907633(2019) 19:150RESEARCH ARTICLEOpen AccessAdaptive propensity score procedure improves matching in prospective observational

How to fill out use of propensity scoring

How to fill out use of propensity scoring

1. Define the research question and identify the treatment and control groups.
2. Collect relevant variables that may influence both treatment assignment and the outcome of interest.
3. Calculate propensity scores using a statistical model that estimates the likelihood of receiving the treatment based on the covariates.
4. Evaluate the balance of covariates between the treatment and control groups using standardized mean differences or other methods.
5. Use propensity scores to match or weight the samples in order to create balanced groups for analysis.
6. Conduct the analysis comparing the treatment and control groups while accounting for the propensity scores.
7. Interpret the results considering the potential biases addressed by propensity scoring.

Who needs use of propensity scoring?

1. Researchers conducting observational studies where random assignment to treatment is not feasible.
2. Policy makers evaluating the effectiveness of interventions in real-world settings.
3. Healthcare providers seeking to compare different treatment options in practice.
4. Economists studying the impact of policy changes on outcomes in non-experimental settings.

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