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 ...
Surrogate endpoints, such as those of interest in chronic kidney disease (CKD), are often evaluated using Bayesian meta-regression. Trials used for the analysis can evaluate a variety of interventions for different sub-classifications of disease, which c
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 ...
In addition, the particular structure of the model in[11] makes it difficult to incorporate the effect of the factors on regions that are very strongly conserved. This paper extends the Bayesian hierarchical regression model in[10] by placing a nonparametric prior on the distribution of the ...
In this paper, a Bayesian model is proposed for meta-analysis of treatment effectiveness data which are generally discrete Binomial and sparse. A bivariate class of priors is imposed to accommodate a wide range of heterogeneity between the multicenter clinical trials involved in the study. ...
stage1_model = LinearRegression() stage1_model.fit(compulsory_schooling.reshape(-1, 1), education) # Reshape for 2D input predicted_education = stage1_model.predict(compulsory_schooling.reshape(-1, 1)) This stage uses linear regression to model how compulsory schooling (compulsory_schooling) aff...
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, ...
Advances in the meta-analysis of heterogeneous clinical trials II: the quality effects model. Contemp Clin Trials. 2015;45:123–9. Article Google Scholar Wood SN. Thin plate regression splines. J R Stat Soc Ser B (Stat Methodol). 2003;65(1):95–114. Article Google Scholar Gmel G, ...
Bayesian hierarchical model Measurement error model Segmented linear regression Access this article Log in via an institution Subscribe and save Springer+ Basic €32.70 /Month Get 10 units per month Download Article/Chapter or eBook 1 Unit = 1 Article or 1 Chapter Cancel anytime Subscribe now ...
Note that we do not take this example to refute the effectiveness of accuracy nudges in general, as this would require a broader reanalysis of all relevant papers (e.g., Martel et al., 2024; Pennycook et al., 2020) using meta-analytic techniques, which is outside the scope of the ...