Search Results - "Burgette, Lane F."

Appropriate analyses of bimodal substance use frequency outcomes: a mixture model approach.

Authors: Burgette, Lane F. Cabreros, Irineo Han, Bing et al.

Source: American Journal of Drug & Alcohol Abuse. 2021, Vol. 47 Issue 5, p559-568.

Sample selection in the face of design constraints: Use of clustering to define sample strata for qualitative research.

Authors: Burgette, Lane F. Escarce, José J. Paddock, Susan M. et al.

Source: Health Services Research. Apr2019, Vol. 54 Issue 2, p509-517. 9p. 1 Chart, 4 Graphs.

Safe to Hire: Predicting Recidivism Risk for Job Candidates with Criminal Records.

Authors: Chase, Elizabeth C. Bushway, Shawn D. Saunders-Medina, Bethany et al.

Source: Statistics & Public Policy. Jul2026, p1-27. 27p. 6 Illustrations.

Modeling Adverse Birth Outcomes via Confirmatory Factor Quantile Regression.

Authors: Burgette, Lane F. Reiter, Jerome P.

Source: Biometrics. Mar2012, Vol. 68 Issue 1, p92-100.

Estimating Surgical Procedure Times Using Anesthesia Billing Data and Operating Room Records.

Authors: Burgette, Lane F. Mulcahy, Andrew W. Mehrotra, Ateev et al.

Source: Health Services Research. Feb2017, Vol. 52 Issue 1, p74-92. 19p.

Multiple Imputation for Missing Data via Sequential Regression Trees.

Authors: Burgette, Lane F. Reiter, Jerome P.

Source: American Journal of Epidemiology. Nov2010, Vol. 172 Issue 9, p1070-1076. 7p. 1 Diagram, 1 Chart, 2 Graphs.

FEDERAL REGISTER.

Source: Federal Register (National Archives & Records Service, Office of the Federal Register). 11/5/2025, Vol. 90 Issue 212, pI-50481. 1241p.

An Inductive Approach to Quantitative Methodology—Application of Novel Penalising Models in a Case Study of Target Debt Level in Swedish Listed Companies.

Authors: Grek, Åsa Hartwig, Fredrik Dougherty, Mark

Source: Journal of Risk & Financial Management. May2024, Vol. 17 Issue 5, p207. 15p.

FEDERAL REGISTER.

Source: Federal Register (National Archives & Records Service, Office of the Federal Register). 7/16/2025, Vol. 90 Issue 134, pI-iv. 1419p.

Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studies.

Authors: Davis, Melanie L. Neelon, Brian Nietert, Paul J. et al.

Source: International Journal of Health Geographics. 2/27/2021, Vol. 20 Issue 1, p1-12. 12p.

Employer Verification Mandates and Infant Health.

Authors: Strully, Kate W. Bozick, Robert Huang, Ying et al.

Source: Population Research & Policy Review. 2020, Vol. 39 Issue 6, p1143-1184. 42p.

A spatiotemporal quantile regression model for emergency department expenditures.

Authors: Neelon, Brian Li, Fan Burgette, Lane F. et al.

Source: Statistics in Medicine. 7/30/2015, Vol. 34 Issue 17, p2559-2575. 17p.

Finding Needles in Haystacks: Multiple-Imputation Record Linkage Using Machine Learning.

Authors: Abowd, John M. Abramowitz, Joelle Levenstein, Margaret C. et al.

Source: Working Paper Series (Federal Reserve Bank of Boston). 2022, Vol. 22 Issue 11, p1-36. 36p.

Addressing geographic confounding through spatial propensity scores: a study of racial disparities in diabetes.

Authors: Davis, Melanie L. Neelon, Brian Nietert, Paul J. et al.

Source: Statistical Methods in Medical Research. Mar2019, Vol. 28 Issue 3, p734-748. 15p.

A tutorial on propensity score estimation for multiple treatments using generalized boosted models.

Authors: McCaffrey, Daniel F. Griffin, Beth Ann Almirall, Daniel et al.

Source: Statistics in Medicine. Aug2013, Vol. 32 Issue 19, p3388-3414. 27p.

Industry Input in Policy Making: Evidence from Medicare.

Authors: Chan, David C Dickstein, Michael J

Source: Quarterly Journal of Economics. Aug2019, Vol. 134 Issue 3, p1299-1342. 44p. 4 Charts, 7 Graphs.

FEDERAL REGISTER.

Source: Federal Register (National Archives & Records Service, Office of the Federal Register). 7/29/2022, Vol. 87 Issue 145, pI-iv. 1268p.

Authors.

Source: Academic emergency medicine: official journal of the Society for Academic Emergency Medicine Apr2012; Vol. 19.

Journal Info: Publisher: Wiley-Blackwell ISSN: 1069-6563