Luke Keele
Overview
Explore the profile of Luke Keele including associated specialties, affiliations and a list of published articles.
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Articles
37
Citations
1103
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0
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Recent Articles
1.
Keele L, Grieve R
Stat Med
. 2025 Feb;
44(5):e10336.
PMID: 39947224
Non-randomised studies (NRS) typically assume that there are no differences in unobserved baseline characteristics between the treatment groups under comparison. Traditionally regression models have been deployed to estimate treatment effects...
2.
Tortorello G, Shafique N, Keele L, Susman C, Dheer A, Fayanju O, et al.
Ann Surg Oncol
. 2024 Jul;
31(10):6804-6811.
PMID: 39003381
Background: Longer time to surgery (TTS) is associated with worse survival in patients with breast cancer. Whether this association has encouraged more prompt care delivery remains unknown. Methods: The National...
3.
Ben-Michael E, Page L, Keele L
Stat Med
. 2024 Apr;
43(12):2332-2358.
PMID: 38558286
In a clustered observational study, a treatment is assigned to groups and all units within the group are exposed to the treatment. We develop a new method for statistical adjustment...
4.
Ma K, Sharon C, Tortorello G, Keele L, Lukens J, Karakousis G, et al.
J Surg Oncol
. 2023 Aug;
128(8):1385-1393.
PMID: 37622232
Background: Clinically localized Merkel cell carcinoma (MCC) is commonly treated with surgical excision and radiotherapy. The relationship between time to adjuvant radiotherapy and overall survival (OS) remains understudied. Methods: This...
5.
Cattaneo M, Keele L, Titiunik R
Stat Med
. 2023 Aug;
42(24):4484-4513.
PMID: 37528626
We present a practical guide for the analysis of regression discontinuity (RD) designs in biomedical contexts. We begin by introducing key concepts, assumptions, and estimands within both the continuity-based framework...
6.
Ben-Michael E, Keele L
Epidemiology
. 2023 Jun;
34(5):637-644.
PMID: 37368935
Inverse probability weights are commonly used in epidemiology to estimate causal effects in observational studies. Researchers often focus on either the average treatment effect or the average treatment effect on...
7.
Hatchimonji J, Mavroudis C, Friedman A, Kaufman E, Syvyk S, Wirtalla C, et al.
J Surg Res
. 2023 Jun;
290:310-318.
PMID: 37329626
Introduction: Prior studies have sought to describe Emergency General Surgery (EGS) burden, but a detailed description of resource utilization for both operative and nonoperative management of EGS conditions has not...
8.
Finn C, Wirtalla C, Roberts S, Collier K, Mehta S, Guerra C, et al.
JAMA Netw Open
. 2023 Feb;
6(2):e2255999.
PMID: 36790809
Importance: Variation in outcomes across hospitals adversely affects surgical patients. The use of high-quality hospitals varies by population, which may contribute to surgical disparities. Objective: To simulate the implications of...
9.
Moler-Zapata S, Grieve R, Lugo-Palacios D, Hutchings A, Silverwood R, Keele L, et al.
Med Decis Making
. 2022 May;
42(8):1010-1026.
PMID: 35607984
Background: Electronic health records (EHRs) offer opportunities for comparative effectiveness research to inform decision making. However, to provide useful evidence, these studies must address confounding and treatment effect heterogeneity according...
10.
Keele L, Kang H
Clin Trials
. 2022 May;
19(4):375-379.
PMID: 35510562
In some cluster randomized trials, subjects may not comply with their assigned treatment status. Such treatment noncompliance can create opportunities for spillover effects within clusters. Little research has focused on...