Keck School Faculty

Jin Piao
Jin Piao
Assistant Professor of Clinical Preventive Medicine
Preventive Medicine
222 E Huntington Drive suite 100 Health Sciences Campus Monrovia

Copas-like selection model to correct publication bias in systematic review of diagnostic test studies Stat Methods Med Res. 2019 Oct-Nov; 28(10-11):2912-2923. . View in PubMed

Semiparametric Model for Bivariate Survival Data Subject to Biased Sampling J R Stat Soc Series B Stat Methodol. 2019 Apr; 81(2):409-429. . View in PubMed

Efficient two-stage designs and proper inference for animal studies Stat Biosci. 2018 Apr; 10(1):217-232. . View in PubMed

Prognosis of patients with intermediate risk IPSS-R myelodysplastic syndrome indicates variable outcomes and need for models beyond IPSS-R Am J Hematol. 2018 10; 93(10):1245-1253. . View in PubMed

Semiparametric model and inference for spontaneous abortion data with a cured proportion and biased sampling Biostatistics. 2018 01 01; 19(1):54-70. . View in PubMed

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. . View in PubMed

Maximum likelihood estimation and EM algorithm of Copas-like selection model for publication bias correction Biostatistics. 2017 Jul 01; 18(3):495-504. . View in PubMed

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. . View in PubMed

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. . View in PubMed

B7-H4 expression in ovarian serous carcinoma: a study of 306 cases Hum Pathol. 2016 11; 57:1-6. . View in PubMed

Recurrent event frailty models reduced time-varying and other biases in evaluating transfusion protocols for traumatic hemorrhageJ Clin Epidemiol. 2016 09; 77:52-59. e1. . View in PubMed

A joint latent class model for classifying severely hemorrhaging trauma patients BMC Res Notes. 2015 Oct 24; 8:602. . View in PubMed

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