
Yu Shen
Articles
-
Jan 8, 2025 |
mdpi.com | Ning Liu |Shuangcheng Zhang |Xiaoli Wu |Yu Shen
Altmetric announcement Help format_quote Cite thumb_up ... Endorse Need Help? Find support for a specific problem in the support section of our website. Please let us know what you think of our products and services. Visit our dedicated information section to learn more about MDPI.
-
Oct 17, 2024 |
digitalcommons.library.tmc.edu | Yu Shen |Jing Ning |Heather Lin |Simona F. Shaitelman
Background: “Old” randomized controlled trials established breast conserving therapy (BCT) and total mastectomy (TM) equivalence for treating early breast cancer, whereas recent literature report improved survival with BCT. To reconcile this, we performed a simulation study and re-analyzed B-06 trial data. Methods: We estimated the distributions for overall survival (OS), cumulative incidence functions for breast-cancer-specific death (BCSD) and other causes-specific death (OCSD) by BCT and TM.
-
Oct 17, 2024 |
digitalcommons.library.tmc.edu | Helen Johnson |Heather Lin |Yu Shen |Emilia J. Diego
IMPORTANCE: Patients should have an active role in decisions about pursuing or forgoing specific therapies in treatment de-escalation trials. OBJECTIVE: To evaluate longitudinal patient-reported outcomes (PROs) encompassing decisional comfort and health-related quality of life (HRQOL) among patients who elected to enroll in a clinical trial evaluating radiotherapy alone, without breast surgery, for invasive breast cancers with exceptional response to neoadjuvant systemic therapy (NST).
-
Oct 17, 2024 |
digitalcommons.library.tmc.edu | Ziyi Li |Yu Shen |Jing Ning
AbstractTransfer learning has attracted increasing attention in recent years for adaptively borrowing information across different data cohorts in various settings. Cancer registries have been widely used in clinical research because of their easy accessibility and large sample size.
-
Oct 17, 2024 |
digitalcommons.library.tmc.edu | Hong Zhu |Yu Lan |Jing Ning |Yu Shen
AbstractSemi-competing risks data often arise in medical studies where the terminal event (e.g., death) censors the non-terminal event (e.g., cancer recurrence), but the non-terminal event does not prevent the subsequent occurrence of the terminal event. This article considers regression modeling of semi-competing risks data to assess the covariate effects on the respective non-terminal and terminal event times.
Try JournoFinder For Free
Search and contact over 1M+ journalist profiles, browse 100M+ articles, and unlock powerful PR tools.
Start Your 7-Day Free Trial →