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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

112
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
112
Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

122
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...
122
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

288
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
288
Observational Studies01:11

Observational Studies

8.2K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.2K
Longitudinal Research02:20

Longitudinal Research

11.8K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.8K

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

Cross-cultural generalizability is an empirical question.

The Behavioral and brain sciences·2026
Same author

Bayes factor hypothesis testing in meta-analyses: Practical advantages and methodological considerations.

Research synthesis methods·2026
Same author

Investigating the replicability of the social and behavioural sciences.

Nature·2026
Same author

Research Into Evidence-Based Psychological Interventions Needs a Stronger Focus on Replicability.

Clinical psychology in Europe·2024
Same author

Multistep estimators of the between-study covariance matrix under the multivariate random-effects model for meta-analysis.

Statistics in medicine·2023
Same author

Comparing the prevalence of statistical reporting inconsistencies in COVID-19 preprints and matched controls: a registered report.

Royal Society open science·2023

相关实验视频

Updated: May 27, 2025

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

420

进行非预先注册和预先注册研究的元分析.

Robbie C M van Aert1

  • 1Department of Methodology and Statistics, Tilburg University.

Psychological methods
|February 18, 2025
PubMed
概括

在心理学中,预注册有助于减轻元分析中的出版偏见. 一种新的混合扩展元分析 (HYEMA) 方法对预先注册的研究进行了计算,通过只在非预先注册的研究中纠正偏差来提高准确性.

科学领域:

  • 心理学 心理学 心理学
  • 进行元分析分析.
  • 研究方法研究方法论.

背景情况:

  • 预先注册研究在心理学中越来越常见.
  • 预先注册的研究可以减少元分析中的出版偏差,因为即使未发表,也可以追溯到它们.
  • 现有的元分析方法不区分预先注册和未预先注册的研究,可能会扭曲结果.

研究的目的:

  • 介绍混合扩展元分析 (HYEMA) 方法.
  • 开发一种方法来计算预先注册和未预先注册的研究.
  • 正确的出版偏差,特别是在元分析中的未预注册研究中.

主要方法:

  • 建议使用混合扩展元分析 (HYEMA) 方法.
  • HYEMA仅在未预先注册的研究中纠正出版偏差.
  • 该方法应用于红色浪漫假设和金钱启动效应的元分析.

主要成果:

  • 将HYEMA应用到两个心理元分析中,与传统的随机效应模型相比,效应大小估计接近于零.
  • 模拟研究表明,当出版偏差存在时,HYEMA的性能优于现有方法 (随机效应模型,PET,PET-PEESE).
  • 拟议的方法可以提高元分析结论的准确性.

更多相关视频

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

69.8K
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

976

相关实验视频

Last Updated: May 27, 2025

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

420
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

69.8K
Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
04:34

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia

Published on: February 17, 2023

976

结论:

  • 当元分析包括预先注册和未预先注册的研究时,建议使用HYEMA作为灵敏度分析.
  • 该方法通过解决对出版偏差的差异敏感性来提高元分析结果的可靠性.
  • 提供了可访问的R代码和Web应用程序,以方便使用HYEMA.