دورية أكاديمية

Comparing two hazard curves when there is a treatment time-lag effect.

التفاصيل البيبلوغرافية
العنوان: Comparing two hazard curves when there is a treatment time-lag effect.
المؤلفون: Zhang X; Department of Biostatistics, University of Florida, Gainesville, Florida., Datta S; Department of Biostatistics, University of Florida, Gainesville, Florida., Qiu P; Department of Biostatistics, University of Florida, Gainesville, Florida.
المصدر: Statistics in medicine [Stat Med] 2024 Aug 30; Vol. 43 (19), pp. 3563-3577. Date of Electronic Publication: 2024 Jun 16.
نوع المنشور: Journal Article; Comparative Study
اللغة: English
بيانات الدورية: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Chichester ; New York : Wiley, c1982-
مواضيع طبية MeSH: Proportional Hazards Models*, Humans ; Time Factors ; Survival Analysis ; Computer Simulation ; Female
مستخلص: In cancer and other medical studies, time-to-event (eg, death) data are common. One major task to analyze time-to-event (or survival) data is usually to compare two medical interventions (eg, a treatment and a control) regarding their effect on patients' hazard to have the event in concern. In such cases, we need to compare two hazard curves of the two related patient groups. In practice, a medical treatment often has a time-lag effect, that is, the treatment effect can only be observed after a time period since the treatment is applied. In such cases, the two hazard curves would be similar in an initial time period, and the traditional testing procedures, such as the log-rank test, would be ineffective in detecting the treatment effect because the similarity between the two hazard curves in the initial time period would attenuate the difference between the two hazard curves that is reflected in the related testing statistics. In this paper, we suggest a new method for comparing two hazard curves when there is a potential treatment time-lag effect based on a weighted log-rank test with a flexible weighting scheme. The new method is shown to be more effective than some representative existing methods in various cases when a treatment time-lag effect is present.
(© 2024 John Wiley & Sons Ltd.)
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فهرسة مساهمة: Keywords: box‐cox transformation; hazard curve; survival data; time‐lag; treatment effect; weighted log‐rank test
تواريخ الأحداث: Date Created: 20240617 Date Completed: 20240717 Latest Revision: 20240717
رمز التحديث: 20240717
DOI: 10.1002/sim.10142
PMID: 38880963
قاعدة البيانات: MEDLINE
الوصف
تدمد:1097-0258
DOI:10.1002/sim.10142