L. Gunn

发表

Bayesian Modeling of Multiple Lesion Onset and Growth from Interval‐Censored Data

D. Dunson, C. Holloman, C. Calder, 2004, Biometrics.

A transformation approach for incorporating monotone or unimodal constraints.

David B Dunson, D. Dunson, L. Gunn, 2005, Biostatistics.

A review of socioeconomic factors associated with acute myocardial infarction-related mortality and hospital readmissions

L. Gunn, Mercy Buckman, A. Grant, 2021, Hospital practice.

Bayesian Methods for Assessing Ordering in Hazard Functions

D. Dunson, L. Gunn, 2022 .

Diagnostic Coding Intensity among a Pneumonia Inpatient Cohort Using a Risk-Adjustment Model and Claims Data: A U.S. Population-Based Study

L. Gunn, John Martin, Michael Korvink, 2022, Diagnostics.

Estimation of recurrent atherosclerotic cardiovascular event risk in patients with established cardiovascular disease: the updated SMART2 algorithm

Deepak L. Bhatt, R. Mägi, E. Hagström, 2022, European heart journal.

Assessing the external validity of the SAFEHEART risk prediction model in patients with familial hypercholesterolaemia in an English routine care cohort.

K. Ray, L. Gunn, Ailsa J. McKay, 2022, Atherosclerosis.

Estimated cardiovascular benefits of bempedoic acid in patients with established cardiovascular disease

C. Ballantyne, K. Ray, L. Gunn, 2021, Atherosclerosis plus.

Branding in the eye of the storm: the impact of brand ethical behavior on brand commitment during the COVID-19 crisis in a South American country

Felipe Reinoso-Carvalho, Nathalie Peña-García, Enrique ter Horst, 2022, Journal of Marketing Analytics.

Hierarchical Bayesian classification methods to identify topics by journal quartile with an application in biological sciences

E. Horst, L. Gunn, S. Restrepo, 2021, Educ. Inf..

Modeling Coding Intensity of Procedures in a U.S. Population-Based Hip/Knee Arthroplasty Inpatient Cohort Adjusting for Patient- and Facility-Level Characteristics

L. Gunn, John Martin, Michael Korvink, 2022, Healthcare.

Is the SMART risk prediction model ready for real-world implementation? A validation study in a routine care setting of approximately 380 000 individuals.

F. Visseren, B. Ference, K. Ray, 2021, European journal of preventive cardiology.

BAYESIAN ORDER RESTRICTED METHODS WITH BIOMEDICAL APPLICATIONS

Laura Hilton Gunn, L. Gunn, 2004 .

Assessing Hospital Resource Utilization with Application to Imaging for Patients Diagnosed with Prostate Cancer

L. Gunn, Michael Korvink, Rudra Patel, 2022, Healthcare.

Making the Case for a Preferences in Information Processing Model of Suicide

R. Cramer, S. Rasmussen, L. Gunn, 2021, Journal of Social and Clinical Psychology.

PrEP awareness, willingness, and likelihood to use future HIV prevention methods among undergraduate college students in an ending the HIV epidemic jurisdiction.

L. Gunn, Meagan Zarwell, Patrick A. Robinson, 2023, Journal of American college health : J of ACH.

Bayesian Inferences on Shape Constrained Hormone Trajectories in the Menstrual Cycle

D. Dunson, L. Gunn, 2003 .

County-Level Socioeconomic Status Adjustment of Acute Myocardial Infarction Mortality Hospital Performance Measure in the U.S.

L. Gunn, Christine Personett, Chen Xue, 2021, Healthcare.

Respecting Opposing Viewpoints through Debate and Discussion of Controversial Public Health Issues: A Double-Blinded Active Learning Design

Enrique ter Horst, L. Gunn, T. Markossian, 2021 .

Risk Adjustment of ICD-10-CM Coded Potential Inpatient Complications Using Administrative Data

M. Duan, L. Gunn, John Martin, 2023, Medical care.

The Association of eHealth Literacy Skills and mHealth Application Use Among US Adults With Obesity: Analysis of Health Information National Trends Survey Data

L. Gunn, Roland J. Thorpe, George Shaw, 2024, JMIR mHealth and uHealth.