Electronic International Standard Serial Number (EISSN)
2183-0371
abstract
The survival function of length-of-stay in hospital ward and Intensive Care Unit forCOVID-19 patients is studied in this paper. Flexible statistical methods are used toestimate this survival function given relevant covariates such as age, sex, obesity andchronic obstructive pulmonary disease. A doubly-smoothed Beran"s estimator hasbeen considered to this aim. The bootstrap method has been used to produce newsmoothing parameter selectors and to construct confidence regions for the conditionalsurvival function. Some simulation studies show the good performance of the proposedmethods.
Classification
subjects
Statistics
keywords
censored data; conditional survival function; bootstrap; bandwidth selector; confi-dence regions