Propensity scores estimate the probability that an individual receives a specific treatment based on observed characteristics. Used in observational studies to reduce selection bias, they enable causal inference through matching, weighting, or stratification. Researchers in healthcare, economics, and social sciences benefit by drawing more reliable conclusions from non-randomized data, mimicking randomized controlled trials.
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