Janick Weberpals
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Explore the profile of Janick Weberpals including associated specialties, affiliations and a list of published articles.
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28
Citations
319
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Recent Articles
1.
Weberpals J, Shaw P, Lin K, Wyss R, Plasek J, Zhou L, et al.
Am J Epidemiol
. 2025 Jan;
PMID: 39844590
Multiple imputation (MI) models can be improved with auxiliary covariates (AC), but their performance in high-dimensional data remains unclear. We aimed to develop and compare high-dimensional MI (HDMI) methods using...
2.
Raman S, Hammill B, Shaw P, Lee H, Toh S, Connolly J, et al.
BMC Med Res Methodol
. 2024 Oct;
24(1):246.
PMID: 39427148
Background: Missing data in confounding variables present a frequent challenge in generating evidence using real-world data, including electronic health records (EHR). Our objective was to apply a recently published toolkit...
3.
Weberpals J, Wang S
Clin Pharmacol Ther
. 2024 Sep;
116(6):1521-1524.
PMID: 39287022
Regulators increasingly rely on real-world evidence generated from routine-care health data to evaluate novel therapies. Particularly, external control arms are increasingly used to supplement and contextualize efficacy and safety claims...
4.
Desai R, Bradley M, Lee H, Eworuke E, Weberpals J, Wyss R, et al.
Am J Epidemiol
. 2024 Jun;
193(11):1600-1608.
PMID: 38825336
Unmeasured confounding is often raised as a source of potential bias during the design of nonrandomized studies, but quantifying such concerns is challenging. We developed a simulation-based approach to assess...
5.
Weberpals J, Raman S, Shaw P, Lee H, Russo M, Hammill B, et al.
Clin Epidemiol
. 2024 May;
16:329-343.
PMID: 38798915
Objective: Partially observed confounder data pose challenges to the statistical analysis of electronic health records (EHR) and systematic assessments of potentially underlying missingness mechanisms are lacking. We aimed to provide...
6.
Weberpals J, Raman S, Shaw P, Lee H, Hammill B, Toh S, et al.
JAMIA Open
. 2024 Feb;
7(1):ooae008.
PMID: 38304248
Objectives: Partially observed confounder data pose a major challenge in statistical analyses aimed to inform causal inference using electronic health records (EHRs). While analytic approaches such as imputation are available,...
7.
Weberpals J, Wang S
Pharmacoepidemiol Drug Saf
. 2024 Jan;
33(1):e5740.
PMID: 38173166
Transparency and reproducibility are major prerequisites for conducting meaningful real-world evidence (RWE) studies that are fit for decision-making. Many advances have been made in the documentation and reporting of study...
8.
Sondhi A, Weberpals J, Yerram P, Jiang C, Taylor M, Samant M, et al.
CPT Pharmacometrics Syst Pharmacol
. 2023 Jun;
12(9):1201-1212.
PMID: 37322818
Real-world data derived from electronic health records often exhibit high levels of missingness in variables, such as laboratory results, presenting a challenge for statistical analyses. We developed a systematic workflow...
9.
Weberpals J, Roumpanis S, Barer Y, Ehrlich S, Jessop N, Pedotti R, et al.
Mult Scler Relat Disord
. 2022 Sep;
68:104153.
PMID: 36081277
The coronavirus disease 2019 (COVID-19) pandemic caused challenges in the management of patients living with multiple sclerosis (PLwMS). We investigated the occurrence and severity of COVID-19 infection post-vaccination among PLwMS...
10.
Graf R, Fisher V, Weberpals J, Gjoerup O, Tierno M, Huang R, et al.
JAMA Netw Open
. 2022 Mar;
5(3):e225394.
PMID: 35357449
Importance: The most useful biomarkers for clinical decision-making identify patients likely to have improved outcomes with one treatment vs another. Objective: To evaluate treatment class-specific outcomes of patients receiving immune...