Jackknife instrumental variable tests are developed that achieve chi-square limiting distributions under the null for hypotheses in linear models with endogeneity and heteroskedasticity, with competitive simulation performance against Anderson-Rubin statistics.
and Dahlberg, M
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MVMR-Pony, a Bayesian method, reduces weak-instrument bias in multivariable Mendelian randomization more effectively than frequentist alternatives in simulation studies covering correlated effects, measurement error, and mediation.
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Jackknife Instrumental Variable Inference
Jackknife instrumental variable tests are developed that achieve chi-square limiting distributions under the null for hypotheses in linear models with endogeneity and heteroskedasticity, with competitive simulation performance against Anderson-Rubin statistics.
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Multivariable Mendelian randomization with weak instruments: a comparison of Bayesian and frequentist methods
MVMR-Pony, a Bayesian method, reduces weak-instrument bias in multivariable Mendelian randomization more effectively than frequentist alternatives in simulation studies covering correlated effects, measurement error, and mediation.