FAILSAFE: Stata module for postestimation statistical diagnostic linting

Christina Laternser ()
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Christina Laternser: Ann & Robert H. Lurie Children’s Hospital of Chicago

Statistical Software Components from Boston College Department of Economics

Abstract: failsafe is a read-only postestimation command that inspects fitted Stata models for metadata and statistical conditions that may warrant review. It reports estimation-sample information, omitted terms, convergence status, variance-covariance problems, user-specified cluster-count thresholds, binary-outcome event counts, categorical cell structure, estimator-reported perfect-prediction metadata, and estimator-native Cox and Fine–Gray event counts when available. The command emits stable signal codes but does not refit models, select specifications, apply a generic events-per-variable rule, or declare a model valid or invalid.

Language: Stata
Requires: Stata version 14.2
Keywords: postestimation; diagnostics; model checking; logistic regression; survival analysis; competing risks; clustered standard errors (search for similar items in EconPapers)
Date: 2026-09-29
Note: This module should be installed from within Stata by typing "ssc install failsafe". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/f/failsafe.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/f/failsafe.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/f/failsafe_examples.do program code (text/plain)
http://fmwww.bc.edu/repec/bocode/f/failsafe_public_validation.do program code (text/plain)

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