Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

450
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
450
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

200
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
200
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

213
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
213
Longitudinal Studies01:26

Longitudinal Studies

171
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
171
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

136
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.
136
Censoring Survival Data01:09

Censoring Survival Data

108
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...
108

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Childhood neurodevelopmental outcomes following hypertensive disorders of pregnancy.

Pregnancy hypertension·2026
Same author

Extended Versus Standard Hypomethylating Agent Dosing in Combination With Venetoclax in Patients With Newly Diagnosed Acute Myeloid Leukemia.

Hematological oncology·2026
Same author

FEAR: Faculty Evaluation and Retaliation-A Survey of Family Medicine Program Directors.

Family medicine·2026
Same author

Nicotine replacement therapy starter packs and gain-framed messages to promote smoking cessation in lung cancer screening: a randomized trial.

American journal of respiratory and critical care medicine·2026
Same author

Day-30 IL1RL1, CXCL9 and REG3α are prognostic for survival after mismatched unrelated donor transplantation.

British journal of haematology·2026
Same author

Subjective cognitive decline among older adults and its link to diabetes, cardiovascular diseases, and other comorbidities: A US population-based study.

Journal of Alzheimer's disease : JAD·2026
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
Same journal

Beyond Fixed Thresholds: Optimizing Summaries of Wearable Device Data via Piecewise Linearization of Quantile Functions.

Statistics in medicine·2026
Same journal

A Causal Framework for Evaluating the Total Effect of Strategies Aiming to Expand Screening and to Improve Outcomes.

Statistics in medicine·2026
Same journal

Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance.

Statistics in medicine·2026
查看所有相关文章

相关实验视频

Updated: Jul 11, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K

一个贝叶斯式零膨胀β-双项模型,用于纵向数据,具有特定组变化点.

Chun-Che Wen1, Nathaniel Baker1, Rajib Paul2

  • 1Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.

Statistics in medicine
|November 9, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的贝叶斯模型,用于分析青少年戒烟数据. 瓦雷尼克林组显示了短期禁欲益处,在9周后减少.

关键词:
波利亚 - 玛增强纵向数据分析的数据分析.随机变化点模型的随机变化点模型.时间表追溯数据追溯数据时间表零膨胀混合模型的混合模型

更多相关视频

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.4K

相关实验视频

Last Updated: Jul 11, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.4K

科学领域:

  • 生物统计学 生物统计学
  • 成研究 研究成研究
  • 临床试验 临床试验

背景情况:

  • 时间线追溯 (TLFB) 数据在成研究中经常呈现过度分散和零通货膨胀.
  • 青少年戒烟试验需要强大的统计方法来进行纵向数据分析.

研究的目的:

  • 提出贝叶斯式零膨胀β-双项模型,用于分析纵向,边界的TLFB数据.
  • 为了评估瓦伦尼克林酸盐在青少年戒烟的疗效.
  • 用随机变化点来识别随着时间的推移治疗疗效的特定群体变化.

主要方法:

  • 开发了贝叶斯式零膨胀β-二项式模型,其中包含了零通胀的点质量和β-二项式分布.
  • 在12周的试验中引入随机变化点来模拟特定组的治疗疗效.
  • 采用高效的马尔科夫链蒙特卡洛算法进行后置计算.

主要成果:

  • 拟议的模型准确地估计了平均趋势,并确定了治疗疗效的关键窗口.
  • 瓦雷尼克林组在短期内对吸烟禁欲产生了积极影响.
  • 瓦雷尼克林的治疗效果在第九周后逐渐消失,表明暂时的益处.

结论:

  • 贝叶斯的零膨胀β-双项模型在戒烟研究中分析复杂的TLFB数据时是有效的.
  • 瓦伦尼克林在青少年戒烟方面初步表现有前途,但需要进一步调查持续效果.
  • 该模型有助于对随时间推移的治疗疗效动态有细微的理解.