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Raymond J Carroll

Explore the profile of Raymond J Carroll including associated specialties, affiliations and a list of published articles. Areas
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Articles 245
Citations 5344
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Recent Articles
1.
Han G, Schell M, Smith M, Hopkins L, Liu Y, Carroll R, et al.
Am J Epidemiol . 2025 Feb; PMID: 39968729
The restricted mean survival time analysis has been used extensively in clinical research involving time-to-event endpoints. The threshold time up to which the restricted mean survival is calculated has a...
2.
Corleto K, Schedin P, Kotta A, Strandmo J, Foster S, Lammoglia N, et al.
bioRxiv . 2024 Dec; PMID: 39651199
Background: Women with obesity and/or type-II-diabetes have an increased breast cancer risk, increased metastasis, and poorer prognosis, especially after menopause. In a rat model of high-fat-diet and menopause-induced weight gain,...
3.
Bhadra A, Wei R, Keogh R, Kipnis V, Midthune D, Buckman D, et al.
Lifetime Data Anal . 2024 May; 30(3):600-623. PMID: 38806842
We consider measurement error models for two variables observed repeatedly and subject to measurement error. One variable is continuous, while the other variable is a mixture of continuous and zero...
4.
Wang Z, Shi W, Carroll R, Chatterjee N
Am J Epidemiol . 2024 May; 193(10):1451-1459. PMID: 38806447
Polygenic risk scores (PRSs) are rapidly emerging as a way to measure disease risk by aggregating multiple genetic variants. Understanding the interplay of the PRS with environmental factors is critical...
5.
Shams-White M, Thompson E, Carroll R, Reedy J
Am J Epidemiol . 2024 Apr; 193(8):1137-1145. PMID: 38583943
The objective of this study was to examine the impact of methodological changes to the 2018 World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) Score on associations with risk...
6.
Zhang D, Tong J, Jing N, Yang Y, Luo C, Lu Y, et al.
J Am Med Inform Assoc . 2024 Mar; 31(5):1102-1112. PMID: 38456459
Objectives: To characterize the complex interplay between multiple clinical conditions in a time-to-event analysis framework using data from multiple hospitals, we developed two novel one-shot distributed algorithms for competing risk...
7.
Freedman L, Wang C, Commins J, Barrett B, Midthune D, Dodd K, et al.
Am J Clin Nutr . 2024 Feb; 119(5):1321-1328. PMID: 38403166
Background: Sodium and potassium measured in 24-h urine collections are often used as reference measurements to validate self-reported dietary intake instruments. Objectives: To evaluate whether collection and analysis of a...
8.
Zhang D, Tong J, Stein R, Lu Y, Jing N, Yang Y, et al.
J Biomed Inform . 2024 Jan; 150:104595. PMID: 38244958
Objective: To characterize the interplay between multiple medical conditions across sites and account for the heterogeneity in patient population characteristics across sites within a distributed research network, we develop a...
9.
Bailey R, Jun S, Cowan A, Eicher-Miller H, Gahche J, Dwyer J, et al.
Annu Rev Nutr . 2023 May; 43:179-197. PMID: 37196365
Precise dietary assessment is critical for accurate exposure classification in nutritional research, typically aimed at understanding how diet relates to health. Dietary supplement (DS) use is widespread and represents a...
10.
Wang Z, Shi W, Carroll R, Chatterjee N
bioRxiv . 2023 Feb; PMID: 36824704
Polygenic risk scores (PRS) are rapidly emerging as aggregated measures of disease-risk associated with many genetic variants. Understanding the interplay of PRS with environmental factors is critical for interpreting and...