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Mathematics

D-Index
67
Citations
51252
World Ranking
323
National Ranking
179

Overview

Bradley P. Carlin is affiliated with the University of Minnesota in the United States. Their research primarily spans the fields of Mathematics and Biochemistry, Genetics and Molecular Biology. Within these broad areas, their work focuses on subfields including Statistics and Probability, Genetics, Molecular Biology, Management Science and Operations Research, and Computational Theory and Mathematics.

The scientist's contributions are centered on several key topics, notably Statistical Methods in Clinical Trials, Neurogenetic and Muscular Disorders Research, Advanced Causal Inference Techniques, Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Optimal Experimental Design Methods, and Hereditary Neurological Disorders.

Bradley P. Carlin has published multiple papers in various academic venues. Some of the recent papers include:

  • Intrathecal Gene Therapy for Giant Axonal Neuropathy (2024, New England Journal of Medicine)
  • Hierarchical Bayesian modelling of disease progression to inform clinical trial design in centronuclear myopathy (2021, Orphanet Journal of Rare Diseases)
  • Bayesian Complex Innovative Trial Designs (CIDs) and Their Use in Drug Development for Rare Disease (2022, The Journal of Clinical Pharmacology)
  • <b>credsubs</b>: Multiplicity-Adjusted Subset Identification (2020, Journal of Statistical Software)
  • Pharmacokinetic/pharmacodynamic data extrapolation models for improved pediatric efficacy and toxicity estimation, with application to secondary hyperparathyroidism (2020, Pharmaceutical Statistics)

The scientist frequently collaborates with a group of co-authors, with repeated partnerships involving Bruno Boulanger, Arnaud Monseur, Leen Thielemans, Chris Freitag, and Laurent Servais.

Bradley P. Carlin's publications have appeared in a range of journals, including:

  • Statistics in Medicine
  • UNC Libraries
  • New England Journal of Medicine
  • Orphanet Journal of Rare Diseases
  • The Journal of Clinical Pharmacology

Best Publications

  • Bayesian measures of model complexity and fit

    David Spiegelhalter;Nicola G. Best;Bradley P. Carlin;Angelika van der Linde

  • Hierarchical Modeling and Analysis for Spatial Data

    Sudipto Banerjee;Bradley P. Carlin;Alan E. Gelfand

  • Bayes and Empirical Bayes Methods for Data Analysis.

    T. Leonard;B. P. Carlin;T. A. Louis

  • Bayes and Empirical Bayes Methods for Data Analysis

    Bradley P. Carlin;Thomas A. Louis

  • Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review

    Mary Kathryn Cowles;Bradley P. Carlin

  • Bayesian Methods for Data Analysis

    Bradley P. Carlin;Thomas A. Louis

  • Bayesian Model Choice Via Markov Chain Monte Carlo Methods

    Bradley P. Carlin;Siddhartha Chib

  • A Monte Carlo Approach to Nonnormal and Nonlinear State-Space Modeling

    Bradley P. Carlin;Nicholas G. Polson;David S. Stoffer

  • Markov Chain Monte Carlo in Practice: A Roundtable Discussion

    Robert E. Kass;Bradley P. Carlin;Andrew Gelman;Radford M. Neal

  • Hierarchical Bayesian Analysis of Changepoint Problems

    Bradley P. Carlin;Alan E. Gelfand;Adrian F. M. Smith

  • Hierarchical Spatio-Temporal Mapping of Disease Rates

    Lance A. Waller;Bradley P. Carlin;Hong Xia;Alan E. Gelfand

  • The deviance information criterion: 12 years on

    David J. Spiegelhalter;Nicola G. Best;Bradley P. Carlin;Angelika van der Linde

  • Bayesian Adaptive Methods for Clinical Trials

    Unknown

  • Efficient parametrisations for normal linear mixed models

    Alan E. Gelfand;Sujit K. Sahu;Bradley P. Carlin

  • Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages

    Xu Guo;Bradley P Carlin

  • Markov chain monte carlo methods for computing bayes factors: A comparative review

    Cong Han;Bradley P Carlin

  • Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials

    Brian P. Hobbs;Bradley P. Carlin;Sumithra J. Mandrekar;Daniel J. Sargent

  • Effect of Dissemination of Evidence in Reducing Injuries from Falls

    Mary E. Tinetti;Dorothy I. Baker;Mary King;Margaret Gottschalk

  • Insurance status and access to urgent ambulatory care follow-up appointments.

    Brent R. Asplin;Karin V. Rhodes;Helen Levy;Nicole Lurie

  • Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota.

    Sudipto Banerjee;Melanie M. Wall;Bradley P. Carlin

  • Generalized Hierarchical Multivariate CAR Models for Areal Data

    Xiaoping Jin;Bradley P. Carlin;Sudipto Banerjee

  • Bayes and Empirical Bayes Methods for Data Analysis, Second Edition

    Bradley Carlin;Thomas Louis

Frequent Co-Authors

Alan E. Gelfand
Alan E. Gelfand Duke University
Sudipto Banerjee
Sudipto Banerjee University of California, Los Angeles
Peter Müller
Peter Müller The University of Texas at Austin
Haitao Chu
Haitao Chu University of Minnesota
J. Jack Lee
J. Jack Lee The University of Texas MD Anderson Cancer Center
Traci L. Toomey
Traci L. Toomey University of Minnesota
Darin J. Erickson
Darin J. Erickson University of Minnesota
Andrew Gelman
Andrew Gelman Columbia University
Katherine P. Theall
Katherine P. Theall Tulane University

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