A logistic regression on 12,868 Ghanaian SSNIT pensioner deaths claims sex, salary, service years, and age at death predict survival less than vs. at least 8 years after retirement, with 83% accuracy.
Among the attributes are the following: Invariance with past data, Implementation simplicity, Parsimony, Transparency, Sample path and forecast intervals, and Uncertainty
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Determinants of Longevity amongst SSNIT Pensioners in Ghana
A logistic regression on 12,868 Ghanaian SSNIT pensioner deaths claims sex, salary, service years, and age at death predict survival less than vs. at least 8 years after retirement, with 83% accuracy.