统计实践对纵向群体透-吸收量表对功率和效果大小估计的影响:蒙特卡洛模拟研究
James C Borders1, Alessandro A Grande2, Carly E A Barbon3
1Laboratory for the Study of Upper Airway Dysfunction, Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, USA. jcb2271@tc.columbia.edu.
Dysphagia
|August 17, 2024
概括
使用多级模型进行吞评估,特别是通过透吸收量表 (PAS),与单个得分或分类方法相比,提高了统计能力和准确性. 这有助于在临床研究中更好地检测治疗效应.
科学领域:
- 临床吞评估的临床评估
- 在医疗保健中的统计建模.
- 语音语言病理学研究 语言病理学研究
背景情况:
- 目前的吞评估通常使用单个玻尿酸评分或分类数据,导致信息丢失.
- 这种数据减少可能会降低检测有意义的治疗效应的统计能力.
- 透-吸收量表 (PAS) 经常被使用,但其评分聚合是有争议的.
研究的目的:
- 调查聚合和分类PAS分数对统计能力和效果大小的影响.
- 为了比较聚合 (最差分) 与多层统计模型的性能.
- 在模拟治疗研究中评估不同的PAS分数降低方法.
主要方法:
- 采用了蒙特卡洛模拟方法.
- 对帕金森病和头癌进行了模拟的三项假设性主体内治疗研究.
- 分析了各种数据特征,统计模型 (聚合与多层次) 和PAS分类方法.
主要成果:
- 多级模型始终显示出比聚合模型更高的统计能力和更准确的效应大小估计.
- 与顺序方法相比,分类PAS得分降低了统计能力,并偏向了效果大小估计.
- 这些发现在不同患者群体 (PD和HNC) 和呼吸道入侵模式中一致.
结论:
- 多级模型是一种更强大的统计方法,用于分析吞协议中的多个玻尿酸试验.
- 它们提供更高的灵敏度和准确性来检测群体水平的吞功能的变化.
- 缩小规模数据 (例如,对PAS进行分类) 可能会对统计推断质量产生负面影响.
相关概念视频
01:20Comparing the Survival Analysis of Two or More Groups
164
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...
164
01:24Testing a Claim about Population Proportion
3.3K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.3K
02:20Longitudinal Research
11.9K
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...
11.9K
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
45
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
45
01:20Actuarial Approach
69
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
69
01:10Bonferroni Test
2.7K
The Bonferroni test is a statistical test named after Carlo Emilio Bonferroni, an Italian mathematician best known for Bonferroni inequalities. This statistical test is a type of multiple comparison test to determine which means are different than the rest. Bonferroni test can minimize the Type 1 error by reducing the significance level alpha, which otherwise increases with sample pairs.
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
2.7K