Quantifying the Likelihood of False Positives: Using Sensitivity Analysis to Bound Statistical Inference

TY - JOUR

T1 - Quantifying the Likelihood of False Positives: Using Sensitivity Analysis to Bound Statistical Inference

AU - Thomas, Kyle J.

AU - McGloin, Jean Marie

AU - Sullivan, Christopher J.

N1 - Kyle J. Thomas Jean Marie McGloin Christopher J. Sullivan Sensitivity analysis False positives Unobserved bias Theory testing "A fragile inference is not worth taking seriously." This is a preview of subscription content, log in to check access.

PY - 2018/6/22

Y1 - 2018/6/22

UR - https://link.springer.com/content/pdf/10.1007%2Fs10940-018-9385-x.pdf

U2 - 10.1007/s10940-018-9385-x

DO - 10.1007/s10940-018-9385-x

M3 - Article

JO - Journal of Quantitative Criminology

JF - Journal of Quantitative Criminology

ER -