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R script for weight and development time

Dryad2019-01-01 更新2026-04-13 收录

贝叶斯方法

生物统计建模

数据链接：

https://datadryad.org/resource/doi:10.5061/dryad.m3s165k/6 数据链接链接失效反馈

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资源简介：

This R script contains the commands to fit the Bayesian models for weight and development time with the rjags interface with JAGS.

应用场景：

创建时间：

2019-01-01

激素水平预测

生物统计建模

Linear regression models included the explanatory variables found to be significant predictors. Possible fixed factors included: sex, age, age2, and month.

NIAID Data Ecosystem90

Bayesian applications in auditory research (McMillan & Cannon, 2019)

贝叶斯方法

耳鸣治疗分析

Purpose: This article presents a basic exploration of Bayesian inference to inform researchers unfamiliar to this type of analysis of the many advantages this readily available approach provide

DataCite Commons2020-08-27 更新70

Adjusted odds ratios for ischaemic stroke risk.

缺血性中风风险

生物统计建模

Full list of age/gender, and serum iron-adjusted odds ratios for ischaemic stroke risk for the specified variable, where an inverse association with stroke risk is indicated by an odds ratio 2 indicat

Figshare2015-12-02 更新30

Statistics of the regression models relating genome size with dN/dS and 16S rRNA as predictor variables using Generalized Least Square and Phylogenetic Least Square analyses.

生物统计建模

分子系统学

We highlighted the models that were statistically significant (α = 0.05).

NIAID Data Ecosystem80

Loss-Based Variational Bayes Prediction

贝叶斯方法

高维参数模型

We propose a new approach to Bayesian prediction that caters for models with a large number of parameters and is robust to model misspecification. Given a class of high-dimensional (but parametric) pr

Taylor & Francis Group2024-06-11 更新60

R script for weight and development time

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