A comparison of ordinal logistic regression models using Classical and Bayesian approaches in an analysis of factors associated with diabetic retinopathy

K. VaitheeswaranManonmaniam Sundaranar University, Tirunelvelli, Tamil Nadu, India;National Center for Disease Informatics and Research (ICMR), Bangalore, Karnataka, IndiaCorrespondence[email protected]

M. SubbiahDepartment of Mathematics, L.N Government College, Ponneri, Tamil Nadu, India

R. RamakrishnanNational Institute of Epidemiology (ICMR), Ayapakkam, Chennai, Tamil Nadu, India

T. KannanNational Institute for Research in Tuberculosis (ICMR), Chetpet, Chennai, Tamil Nadu, India

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Vaitheeswaran Kulothungan, M. Subbiah, R. Ramakrishnan & Rajiv Raman. (2018) Identifying associated risk factors for severity of diabetic retinopathy from ordinal logistic regression models. Biostatistics & Epidemiology 2:1, pages 34-46.
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A comparison of ordinal logistic regression models using Classical and Bayesian approaches in an analysis of factors associated with diabetic retinopathy

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A comparison of ordinal logistic regression models using Classical and Bayesian approaches in an analysis of factors associated with diabetic retinopathy

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