分析类型:计划 (预先规定的) 与特设后,初级与二级,假设驱动与探索,子组和敏感性,和其他
1Dept. of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India.
Indian journal of psychological medicine
|March 28, 2024
概括
本文阐明了研究分析计划,区分了计划 (预规定的) 和后期分析,并详细介绍了初级,二级,假设驱动,探索性,子组和灵敏度分析,以获得更好的科学严谨性.
科学领域:
- 研究方法研究方法研究方法学
- 生物统计学 生物统计学
- 科学写作 科研写作
背景情况:
- 研究分析计划可以用各种重叠的方式来描述.
- 了解这些描述对于准确解释研究结果至关重要.
- 在本专中,之前的文章已经讨论了治疗意图与每条协议与更完整的分析.
研究的目的:
- 解释和区分与研究分析计划相关的关键术语.
- 为了澄清计划 (预先规定的) 和后期分析.
- 定义初级与二级,假设驱动与探索,以及子组和灵敏度分析.
主要方法:
- 解释不同类型的分析计划,并举例说明.
- 预先规定的,特此后,初级,二级,假设驱动,探索性,子组和灵敏度分析所提供的定义.
- 简要讨论每个分析类型的优点和局限性.
主要成果:
- 预先规定的分析在研究开始之前被概述出来,通常被分为主要 (主要结果) 和次要 (其他结果).
- 探索性分析在没有预期的情况下研究变量关系,类似于"统计捕鱼探险".
- 小组分析侧重于特定的参与者类别,而敏感性分析则测试了使用替代数据处理方法的发现的稳定性.
- 后期分析是针对数据观察后制定的假设.
结论:
- 清晰的定义和不同类型的分析计划之间的区别提高了研究透明度.
- 了解这些分析方法对于批判性地评估科学文献至关重要.
- 正确定义和执行分析计划可以提高研究结果的可靠性和可解释性.
相关概念视频
Study Design in Statistics
8.0K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.0K
Statistical Methods to Analyze Parametric Data: ANOVA
367
Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
367
Qualitative Analysis
253
Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
There are two main approaches to qualitative analysis:...
253
Comparing the Survival Analysis of Two or More Groups
181
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...
181
Multiple Comparison Tests
3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K
What is an ANOVA?
7.9K
The Analysis of Variance or ANOVA is a statistical test developed by Ronald Fisher in 1918. It is performed on three or more samples to check for equality between their means.
Before performing ANOVA, one must ensure that the samples used for this analysis have three crucial characteristics or statistical assumptions. The first assumption states that the samples should be drawn from normally distributed samples, while the second requires that all the drawn samples should be randomly and...
Before performing ANOVA, one must ensure that the samples used for this analysis have three crucial characteristics or statistical assumptions. The first assumption states that the samples should be drawn from normally distributed samples, while the second requires that all the drawn samples should be randomly and...
7.9K


