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## Hypothesis Tests Under Separation This OSF project houses several documents that support my 2023 *Politial Analysis* paper titled "Hypothesis Tests Under Separation." **Pre-Print**: You can find the pre-print [here]( **Reproduction Archive**: You can find a compressed reproduction archive [here]( Also on Dataverse at []( **Computational Companion**: You can find the computational archive here [[HTML](] or here [[PDF](] > Previous research suggests using penalized maximum likelihood for dealing with separation in logistic regression models (Zorn 2005), but notes that the penalty is a meaningful, substantive decision (Rainey 2016). In the project I show that researchers can use the likelihood ratio to compute reasonable, well-behaved *p*-values without using frequentist penalties or prior information.
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