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Updated: Jan 7, 2026

Chromosome Replicating Timing Combined with Fluorescent In situ Hybridization
17:14

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PPROM の後の配信タイミングのタイム・トゥ・イベント・メソッドの明確化

Arash Mohazzab1, Safdar Masoumi2

  • 1Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.

BJOG : an international journal of obstetrics and gynaecology
|January 5, 2026
PubMed
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No abstract available in PubMed .

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Introduction To Survival Analysis01:18

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Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
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Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
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