Adam J. Branscum

发表

Robust Medical Test Evaluation Using Flexible Bayesian Semiparametric Regression Models

Adam J. Branscum, Wesley O. Johnson, Andre T. Baron, 2013 .

A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests

James D. Stamey, Adam J. Branscum, Dunlei Cheng, 2010, Comput. Stat. Data Anal..

Bayesian bootstrap inference for the receiver operating characteristic surface

Miguel de Carvalho, Adam J. Branscum, Vanda Calhau Fernandes Inacio De Carvalho, 2018 .

Bayesian non-parametric models for regional prevalence estimation

Adam J. Branscum, Timothy Hanson, Ian A. Gardner, 2008 .

Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians

Ronald Christensen, Adam J. Branscum, Wesley O. Johnson, 2010 .

Rejoinder for “Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches”

Adam J. Branscum, Wesley O. Johnson, Timothy Hanson, 2011 .

Bayesian Ideas and Data Analysis

Christian P. Robert, Ronald Christensen, Adam J. Branscum, 2012 .

Bayesian Nonparametric Modeling and Data Analysis: An Introduction

Adam J. Branscum, Wesley O. Johnson, Timothy Hanson, 2005 .

Informative g-Priors for Logistic Regression

Adam J. Branscum, Wesley O. Johnson, Timothy Hanson, 2014 .

Modelling stochastic order in the analysis of receiver operating characteristic data: Bayesian non‐parametric approaches

Athanasios Kottas, Adam J. Branscum, Timothy Hanson, 2008 .

Sample size calculations for studies designed to evaluate diagnostic test accuracy

Adam J. Branscum, Wesley O. Johnson, Ian A. Gardner, 2007 .

Model selection in finite mixture of regression models: a Bayesian approach with innovative weighted g priors and reversible jump Markov chain Monte Carlo implementation

Wei Liu, Bo Zhang, Jian Tao, 2015 .