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Refine helps researchers analyze papers, collaborate with teams, and streamline their research workflow with AI-powered tools.

Refine - AI-Powered Research Assistant Skip to main content AI-Powered Peer Review AI-powered feedback trusted by world-class researchers Refine devotes hours of compute to help you find and fix the issues that matter most to readers and reviewers. Preview for free No credit card required View examples Feedback Panel Accuracy Empirical specification description " We use the inverse of the propensity scores as weights. " For ATT, control units should be weighted by ω i / (1 - ω i ), not 1 / ω i , where ω i is the propensity score of unit i. Suggestions: if the nonstandard weights are appropriat

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