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

Kyle J. Thomas; Jean Marie McGloin; Christopher J. Sullivan

doi:10.1007/s10940-018-9385-x

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

Kyle J. Thomas, Jean Marie McGloin, Christopher J. Sullivan

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Journal of Quantitative Criminology
DOIs	https://doi.org/10.1007/s10940-018-9385-x
State	Published - Jun 22 2018

Disciplines

Econometrics
Statistics and Probability
Psychology

Access to Document

10.1007/s10940-018-9385-xLicense: Unspecified

Cite this

@article{e589383661024e60868750f232316a46,

title = "Quantifying the Likelihood of False Positives: Using Sensitivity Analysis to Bound Statistical Inference",

author = "Thomas, {Kyle J.} and McGloin, {Jean Marie} and Sullivan, {Christopher J.}",

note = "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.",

year = "2018",

month = jun,

day = "22",

doi = "10.1007/s10940-018-9385-x",

language = "American English",

journal = "Journal of Quantitative Criminology",

}

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 -

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

Disciplines

Access to Document

Other files and links

Cite this