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Journal of the American Statistical Association Volume 108, 2013 - Issue 502
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Applications and Case Studies

Bayesian Hierarchical Poisson Regression Models: An Application to a Driving Study With Kinematic Events

Sungduk Kim Biostatistics and Bioinformatics Branch, Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD, 20852
,
Zhen Chen Biostatistics and Bioinformatics Branch, Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD, 20852
,
Zhiwei Zhang Biostatistics and Bioinformatics Branch, Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD, 20852
,
Bruce G. Simons-Morton Prevention Research Branch, Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD, 20852
&
Paul S. Albert Biostatistics and Bioinformatics Branch, Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD, 20852
Pages 494-503 | Received 01 Sep 2011, Published online: 01 Jul 2013

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Miao Cai, Amir Mehdizadeh, Qiong Hu, Mohammad Ali Alamdar Yazdi, Alexander Vinel, Karen C. Davis, Hong Xian, Fadel M. Megahed & Steven E. Rigdon. (2022) Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling. Journal of Quality Technology 54:4, pages 466-484.
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Sungduk Kim & Paul S. Albert. (2018) Latent Variable Poisson Models for Assessing the Regularity of Circadian Patterns over Time. Journal of the American Statistical Association 113:523, pages 992-1002.
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Qing Li, Feng Guo, Inyoung Kim, Sheila G. Klauer & Bruce G. Simons-Morton. (2018) A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers. Journal of Applied Statistics 45:4, pages 604-625.
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Articles from other publishers (18)

Jabed H. Tomal, Jahidur Rahman Khan & Abdus S. Wahed. (2022) Weighted Bayesian Poisson Regression for The Number of Children Ever Born per Woman in Bangladesh. Journal of Statistical Theory and Applications 21:3, pages 79-105.
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Zhen Gao, Jingning Xu, Jiang Yu Zheng, Hongfei Fan, Rongjie Yu, Jiaqi Zong & Xinyi Li. (2021) A Lightweight VK-Net Based on Motion Profiles for Hazardous Driving Scenario Identification. A Lightweight VK-Net Based on Motion Profiles for Hazardous Driving Scenario Identification.
Nicole S.M. Lee, Gopalasamy R. Clements, Adeline S.Y. Ting, Zhi H. Wong & Sze H. Yek. (2020) Persistent mosquito fogging can be detrimental to non-target invertebrates in an urban tropical forest. PeerJ 8, pages e10033.
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Rongiie Yu, Haoan Ai & Zhen Gao. (2020) Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM Analysis Approach. Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM Analysis Approach.
Yi Liu, Feng Guo & Richard J. Hanowski. (2019) Assessing the impact of sleep time on truck driver performance using a recurrent event model. Statistics in Medicine 38:21, pages 4096-4111.
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Feng Guo. (2019) Statistical Methods for Naturalistic Driving Studies. Annual Review of Statistics and Its Application 6:1, pages 309-328.
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Pallabi Sengupta, Miguel Burgaleta, Gorka Zamora-López, Anna Basora, Ana Sanjuán, Gustavo Deco & Nuria Sebastian-Galles. (2019) Traces of statistical learning in the brain's functional connectivity after artificial language exposure. Neuropsychologia 124, pages 246-253.
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Paul S. Albert. (2017) Innovative modeling of naturalistic driving data: Inference and prediction. Statistics in Medicine 38:2, pages 175-183.
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Qing Li, Feng Guo, Sheila G. Klauer & Bruce G. Simons-Morton. (2017) Evaluation of risk change-point for novice teenage drivers. Accident Analysis & Prevention 108, pages 139-146.
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Bruce Simons‐Morton. (2017) Driving in search of analyses. Statistics in Medicine 36:24, pages 3763-3771.
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Xiaoyu Zhu, Yifei Yuan, Xianbiao Hu, Yi-Chang Chiu & Yu-Luen Ma. (2017) A Bayesian Network model for contextual versus non-contextual driving behavior assessment. Transportation Research Part C: Emerging Technologies 81, pages 172-187.
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Guofa Li, Shengbo Eben Li, Bo Cheng & Paul Green. (2017) Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities. Transportation Research Part C: Emerging Technologies 74, pages 113-125.
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Luo Xiao, Bing He, Annemarie Koster, Paolo Caserotti, Brittney Lange-Maia, Nancy W. Glynn, Tamara B. Harris & Ciprian M. Crainiceanu. (2016) Movement Prediction Using Accelerometers in a Human Population. Biometrics 72:2, pages 513-524.
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Dawn Iacobucci, Steven S. Posavac, Frank R. Kardes, Matthew J. Schneider & Deidre L. Popovich. (2014) Toward a more nuanced understanding of the statistical properties of a median split. Journal of Consumer Psychology 25:4, pages 652-665.
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Bruce G. Simons-Morton, Sheila G. Klauer, Marie Claude Ouimet, Feng Guo, Paul S. Albert, Suzanne E. Lee, Johnathon P. Ehsani, Anuj K. Pradhan & Thomas A. Dingus. (2015) Naturalistic teenage driving study: Findings and lessons learned. Journal of Safety Research 54, pages 41.e29-44.
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Johnathon P. Ehsani, Bruce Simons-Morton, Yunlong Xie, Sheila G. Klauer & Paul S. Albert. (2014) The association between kinematic risky driving among parents and their teenage children: Moderation by shared personality characteristics. Accident Analysis & Prevention 69, pages 56-61.
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. (2014) Publisher's Note to “The association between kinematic risky driving among parents and their teenage children: Moderation by Shared Personality Characteristics”. Accident Analysis & Prevention 67, pages 1-6.
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Dawn Iacobucci, Steven S. Posavac, Frank R. Kardes, Matthew Schneider & Deidre L. Popovich. (2015) Toward a More Nuanced Understanding of the Statistical Properties of a Median Split. SSRN Electronic Journal.
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