We propose a novel Bayesian (meta‐)regression model for binary outcomes on the additive risk scale. The model allows treatment effects, covariate effects, interactions and variance parameters to be estimated directly on the linear scale of clinical interest. We compared effect estimates from this ...
The proposed meta-regression is formulated by jointly modeling the association parameters and the functional meta-predictors using Dirichlet process (DP) or local DP mixtures. In doing so, the functional meta-predictors are represented parsimoniously by the coefficients of the orthonormal basis. The ...
meta-analysisSROC curveLyle D BroemelingBroemeling amp;amp; Associates Inc, Medical Lake, WA, USAAbstract: Determining the accuracy of a medical test is quite difficult because accuracy is an elusive parameter to estimate. A common scenario is estimating the true and false positive fractions from...
We used bayesian meta-regression to combine all relevant information from the ACS (for state-to-state variation, the oldest age groups, and prevalence in group quarters), NHANES (a primary source of information for mean tendency, age stratification, sex, and race/ethnicity variation), the NSCH...
内容过多就不搬运了 原文链接在此 行业的几个领军大佬写的教程 https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/netwma.html#network-meta-regression
53 国际基础科学大会-A quasi-dynamic system representation of multiple nonlinear regression 1:01:30 国际基础科学大会-Locally symmetric varieties with moduli interpretation-Chenglong Yu 1:01:43 国际基础科学大会-Equivariant K-theory realization of the affine i-quantum group 1:04:02 国际基础科学大会-A...
Time to benefit for colorectal cancer screening: survival meta-analysis of flexible sigmoidoscopy trials. BMJ ▶ Vittinghoff E, Glidden DV, Shiboski SC, McCulloch CE (2012). Regression methods in biostatistics: linear, logistic, survival, and repeated measures models. Springer ▶ Wei Y, ...
Separate meta-regression models with contrasts for dichotomous (Hypotheses 1 to 4 and Research Question 3) and categorical moderators (Hypothesis 5 and 6 and Research Question 2) were fit using the aforementioned priors. Two-sided moderator hypotheses (Research Questions 2 and 3) were tested by ...
目前在研究Automated Machine Learning,其中有一个子领域是实现网络超参数自动化搜索,而常见的搜索方法有Grid Search、Random Search以及贝叶斯优化搜索。前两者很好理解,这里不会详细介绍。本文将主要解释什么是体统(沉迷延禧攻略2333),不对应该解释到底什么是贝叶斯优化。
Regression Models Reference Manual Stata Finite Mixture Models Reference Manual Stata Functions Reference Manual Stata Graphics Reference Manual Stata Item Response Theory Reference Manual Stata Lasso Reference Manual Stata Longitudinal-Data/Panel-Data Reference Manual Stata Meta-Analysis Reference Manual Stata ...