Jin Piao * USC Profiles

Jin Piao

Title(s)	Assistant Professor of Clinical Preventive Medicine
Email	jpiao@usc.edu
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Biography

Education and Training

The University of Texas Health Science Center at Houston	Doctor of Philosophy (Ph.D.)	08/2017	Biostatistics
University of Toledo	Master's degree	05/2012	Mathematics
Tongji University	Bachelor of Science (BS)	08/2010	Statistics

Overview

Interests

Biostatistics, Clinical Trials, Survival Analysis, Meta-Analysis

Bibliographic

Publications

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.

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Piao J, Ning J, Shen Y. Semiparametric Model for Bivariate Survival Data Subject to Biased Sampling. J R Stat Soc Series B Stat Methodol. 2019 Apr; 81(2):409-429. PMID: 31435191.

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Benton CB, Khan M, Sallman D, Nazha A, Nogueras González GM, Piao J, Ning J, Aung F, Al Ali N, Jabbour E, Kadia TM, Borthakur G, Ravandi F, Pierce S, Steensma D, DeZern A, Roboz G, Sekeres M, Andreeff M, Kantarjian H, Komrokji RS, Garcia-Manero G. Prognosis of patients with intermediate risk IPSS-R myelodysplastic syndrome indicates variable outcomes and need for models beyond IPSS-R. Am J Hematol. 2018 Oct; 93(10):1245-1253. PMID: 30051599.

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Piao J, Liu Y, Chen Y, Ning J. Copas-like selection model to correct publication bias in systematic review of diagnostic test studies. Stat Methods Med Res. 2018 Jul 31; 962280218791602. PMID: 30062910.

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Piao J, Ning J, Chambers CD, Xu R. Semiparametric model and inference for spontaneous abortion data with a cured proportion and biased sampling. Biostatistics. 2018 01 01; 19(1):54-70. PMID: 28525542.

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Cai C, Piao J, Ning J, Huang X. Efficient two-stage designs and proper inference for animal studies. Stat Biosci. 2018 Apr; 10(1):217-232. PMID: 30294384.

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Ning J, Chen Y, Piao J. Maximum likelihood estimation and EM algorithm of Copas-like selection model for publication bias correction. Biostatistics. 2017 Jul 01; 18(3):495-504. PMID: 28334132.

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Nagarajan P, Curry JL, Ning J, Piao J, Torres-Cabala CA, Aung PP, Ivan D, Ross MI, Levenback CF, Frumovitz M, Gershenwald JE, Davies MA, Malpica A, Prieto VG, Tetzlaff MT. Tumor Thickness and Mitotic Rate Robustly Predict Melanoma-Specific Survival in Patients with Primary Vulvar Melanoma: A Retrospective Review of 100 Cases. Clin Cancer Res. 2017 04 15; 23(8):2093-2104. PMID: 27864417.

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Liang L, Jiang Y, Chen JS, Niu N, Piao J, Ning J, Zu Y, Zhang J, Liu J. B7-H4 expression in ovarian serous carcinoma: a study of 306 cases. Hum Pathol. 2016 11; 57:1-6. PMID: 27349304.

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Choi S, Rahbar MH, Ning J, Del Junco DJ, Rahbar E, Hong C, Piao J, Fox EE, Holcomb JB. Recurrent event frailty models reduced time-varying and other biases in evaluating transfusion protocols for traumatic hemorrhage. J Clin Epidemiol. 2016 09; 77:52-59.e1. PMID: 27134138.

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Rahbar MH, Ning J, Choi S, Piao J, Hong C, Huang H, Del Junco DJ, Fox EE, Rahbar E, Holcomb JB. A joint latent class model for classifying severely hemorrhaging trauma patients. BMC Res Notes. 2015 Oct 24; 8:602. PMID: 26498438.

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Ning J, Rahbar MH, Choi S, Hong C, Piao J, del Junco DJ, Fox EE, Rahbar E, Holcomb JB. A joint latent class analysis for adjusting survival bias with application to a trauma transfusion study. Stat Med. 2016 Jan 15; 35(1):65-77. PMID: 26256455.

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Ning J, Rahbar MH, Choi S, Piao J, Hong C, Del Junco DJ, Rahbar E, Fox EE, Holcomb JB, Wang MC. Estimating the ratio of multivariate recurrent event rates with application to a blood transfusion study. Stat Methods Med Res. 2017 Aug; 26(4):1969-1981. PMID: 26160825.

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