India
Research Article
Risk Score Estimation of Diabetic Retinopathy: Statistical Alte rnatives
using Multiple Logistic Regression
Author(s): Vaitheeswaran Kulothungan, Ramakrishnan R, Subbiah M and Rajiv RamanVaitheeswaran Kulothungan, Ramakrishnan R, Subbiah M and Rajiv Raman
People with type II diabetes are having more chances to develop diabetic retinopathy which is generally viewed as a multi-factorial disease. Identifying the risk of any disease, is very important for health care planning and creating score cards for identifying the risk of any disease is pervasive in medical diagnostics. This involves statistical techniques using parameter estimation of multivariable models such as linear regression, logistic regression or Cox proportional hazards regression. Geographic and/or disease specific methods for risk score estimation provide a scope to develop and evaluate new possible statistical methods for risk score analysis. This work explores the weighted scoring procedure through logistic regressions to develop two methods using Wald statistic and maximum regression coefficient by precluding the selection of protective risk factors. Further, to avoid .. Read More»
DOI:
10.4172/2155-6180.1000211
Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report