A Bayesian Nonparametric Modeling Framework for Developmental Toxicity Studies Comment

Journal article

Open access

Lan Wang, Ben Sherwood and Runze Li

Journal of the American Statistical Association, Vol.109(507), pp.1007-1010

2014-07-03

PMID: 25419019

Abstract

Mathematics

Physical Sciences

Science & Technology

Statistics & Probability

url

https://doi.org/10.1080/01621459.2014.905399View

Published (Version of record) Open

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Collaboration types: Domestic collaboration
Citation topics: 9 Mathematics; 9.92 Statistical Methods; 9.92.220 Nonparametric Regression
Web Of Science research areas: Statistics & Probability
ESI research areas: Mathematics

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Title: A Bayesian Nonparametric Modeling Framework for Developmental Toxicity Studies Comment
Creators: Lan Wang - University of Minnesota
Ben Sherwood - University of Minnesota
Runze Li - Pennsylvania State University
Publication Details: Journal of the American Statistical Association, Vol.109(507), pp.1007-1010
Publisher: Amer Statistical Assoc
Number of pages: 4
Grant note: P50 DA010075; P50 DA036107 / NIDA NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Drug Abuse (NIDA) P50DA036107 / NATIONAL INSTITUTE ON DRUG ABUSE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Drug Abuse (NIDA); European Commission
Academic Unit: Miami Herbert Business School; MHBS - Management Science
Language: English
Resource Type: Journal article
PMID: 25419019
Record Identifier: 991031714189102976