Statistical methods for estimating cure fraction of COVID-19 patients in India

Human race is under the COVID-19 pandemic menace since beginning of year 2020. Even though disease easily transmissible, a massive fraction affected people recovering. Most recovered patients will not experience death due to COVID-19, even if they observed for long period. They can be treated as term survivors in context lifetime data analysis. In this article, we present statistical methods estimate proportion (cure fraction) patient population India. The proportional hazards mixture cure model used and effect covariates gender age, on lifetime. We see that India more than 90%, which indeed an optimistic information.