一个灵活的准概率模型,用于微生物群丰富度计数数据.
Yiming Shi1, Huilin Li2, Chan Wang2
1Division of Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA.
Statistics in medicine
|August 22, 2023
概括
我们介绍了一种灵活的准概率模型来分析微生物群计数数据,在没有严格的分布假设的情况下提供有效的统计推断. 这种在模拟和真实腺瘤研究中验证的方法可通过R包"fql"获得.
科学领域:
- 微生物组研究 微生物组研究
- 统计建模 统计建模
- 生物信息学是一种生物信息学.
背景情况:
- 微生物组计数数据往往缺乏明确的分布性质,这给标准统计模型带来了挑战.
- 像Poisson和负二项式通用线性模型 (GLMs) 这样的现有方法依赖于特定的分布假设.
- 对微生物组数据的准确分析对于理解宿主-微生物相互作用和疾病病原性至关重要.
研究的目的:
- 为微生物群计数数据提供灵活的准概率建模框架.
- 评估拟议方法的推断有效性与已建立的GLMs相比.
- 在人类微生物组研究中展示该方法的实际应用.
主要方法:
- 开发一个准概率框架,只假设一个平滑的平均差异关系.
- 通过模拟研究,将拟议模型与负二项式GLM和Poisson GLM进行比较.
- 该方法的应用在真实世界的数据集中分析腺瘤和微生物群之间的关系.
主要成果:
- 灵活的准概率方法在模拟研究中证明了有效的推断结果.
- 该模型在应用研究中成功确定了腺瘤和微生物群之间的关系.
- 当传统GLM的分布假设不确定时,拟议的方法提供了一个强大的替代方案.
结论:
- 灵活的准概率模型为微生物群计数数据分析提供了强大的和有效的方法.
- 开发的R包"fql"有助于这种新方法的应用.
- 这种方法提高了研究复杂宿主微生物群相互作用的能力.
相关概念视频
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
96
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
96
Mechanistic Models: Compartment Models in Individual and Population Analysis
64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
64
Distributions to Estimate Population Parameter
4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K
Quantifying and Rejecting Outliers: The Grubbs Test
1.7K
Sometimes, a data set can have a recorded numerical observation that greatly deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier. To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
1.7K
Expected Frequencies in Goodness-of-Fit Tests
2.6K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
2.6K
Model Approaches for Pharmacokinetic Data: Compartment Models
131
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Two primary types of compartment models are recognized: mammillary and catenary. The more...
131


