Meta-regression approximations to reduce publication selection bias¶
Stanley, T. D., & Doucouliagos, H. (2013). Meta-regression approximations to reduce publication selection bias. Research Synthesis Methods.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Type M Error
- . A/B testing — stopped-on-significance experiments exaggerating lift, met with sequential-testing corrections or shrinkage estimators. Meta-science and the publication-bias literature — PET-PEESE and related bias-adjustment methods explicitly correcting this magnitude inflation
This sourcePEESE and a conditional PEESE/Egger-intercept hybrid (PET-PEESE) as meta-regression corrections for publication selection bias.
SupportedVerified against the source
- . A/B testing — stopped-on-significance experiments exaggerating lift, met with sequential-testing corrections or shrinkage estimators. Meta-science and the publication-bias literature — PET-PEESE and related bias-adjustment methods explicitly correcting this magnitude inflation
Verification¶
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Registry ID ref:ad1174947b94 · see in the full table