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The survival function of length-of-stay in hospital ward and ICU for COVID-19patients is studied in this paper. Flexible statistical methods are used toestimate this survival function given relevant covariates such as age, sex,obesity and chronic obstructive pulmonary disease (COPD). A doubly-smoothedBeran's estimator has been considered to this aim. The bootstrap method hasbeen used to produce new smoothing parameter selectors and to constructconfidence regions for the conditional survival function. Some simulationstudies show the good performance of the proposed methods.

Length-of-stay times in hospital for COVID-19 patients using the smoothed Beran's estimator with bootstrap bandwidth selection