相关实验视频

Updated: Feb 7, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

在使用基于相对生存模型的CUSUMs的注册表数据中监测事件发生的时间

Jimmy Huy Tran¹, Jan Terje Kvaløy¹, Hartwig Kørner^2,3

¹Department of Mathematics and Physics, University of Stavanger, Norway.

Statistical methods in medical research

|February 5, 2026

概括

这项研究引入了一种新的累积和 (CUSUM) 程序,以使用健康登记数据监测疾病生存时间的变化. 该方法考虑了不确定的死亡原因信息和不同的人口风险.

科学领域:

流行病学流行病学
生物统计学生物统计学

背景情况:

疾病监测需要监测生存时间分布的变化.
卫生登记册提供实时或追溯监测数据.
不确定的或缺少的死因数据在生存分析中构成了挑战.

研究的目的:

提出一种新的累积和 (CUSUM) 程序,用于监测生存时间分布的变化.
适应现有的时间到事件数据的方法,以适应过度危险的设置.
结合相对生存方法来处理不确定的死亡原因信息.

主要方法:

基于存活日志-概率比率的CUSUM图表的开发.
将总危险建模为人口危险和过度危险的总和.
考虑到人口风险和通过共变量解释的过度危险的变化.

主要成果:

拟议的CUSUM程序有效监测生存时间分布的变化.
即使死亡原因信息缺失或不确定,该方法也适用.
使用癌症注册数据证明了应用.

结论:

CUSUM程序提供了一种可靠的疾病监测方法.
它通过过度危险模型增强了对生存数据的分析.
这种方法可以更好地从注册表数据中量化疾病负担.

关键词:

过度的危险过度的危险癌症注册表数据癌症注册表数据相对生存率相对生存率根据风险调整的监测.监测生存时间,监测生存时间.

更多相关视频

Monitoring Neuronal Survival via Longitudinal Fluorescence Microscopy

Monitoring Neuronal Survival via Longitudinal Fluorescence Microscopy

Published on: January 19, 2019

Monitoring Influenza Virus Survival Outside the Host Using Real-Time Cell Analysis

Monitoring Influenza Virus Survival Outside the Host Using Real-Time Cell Analysis

Published on: February 20, 2021

相关概念视频

Censoring Survival Data

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...

Space-Time Curvature and the General Theory of Relativity

Space-Time Curvature and the General Theory of Relativity

In 1905, Albert Einstein published his special theory of relativity. According to this theory, no matter in the universe can attain a speed greater than the speed of light in a vacuum, which thus serves as the speed limit of the universe.
This has been verified in many experiments. However, space and time are no longer absolute. Two observers moving relative to one another do not agree on the length of objects or the passage of time. The mechanics of objects based on Newton's laws of...

Acid and Bases: Ka, pKa, and Relative Strengths

Acid and Bases: K_a, pK_a, and Relative Strengths

This lesson delves into a critical aspect of the relative strengths of acids and bases. The strength of an acid is evaluated by the acid dissociation into its conjugate base and a hydronium ion in water. The complete dissociation of a strong acid is confirmed with a very high concentration of hydronium ions. As a result, an incomplete dissociation process affirms a weak acid. Therefore, the equilibrium is in the forward direction for strong acids and backward for weak acids in these reactions.

Relative Strengths of Conjugate Acid-Base Pairs

Relative Strengths of Conjugate Acid-Base Pairs

Brønsted-Lowry acid-base chemistry is the transfer of protons; thus, logic suggests a relation between the relative strengths of conjugate acid-base pairs. The strength of an acid or base is quantified in its ionization constant, Ka or Kb, which represents the extent of the acid or base ionization reaction. For the conjugate acid-base pair HA / A−, the ionization equilibrium equations and ionization constant expressions are

Survival Curves

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...

Survival Tree

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...