Jack-knifing in small samples of survival data: when bias meets variance to increase estimate precision

Estimates performed particularly using small samples are a priori inaccurate. Furthermore, estimations of m-year survival rates, especially for large m ≫ 0, are inevitable of low precision because they are calculated as fractions with both low numerators and denominators. In this study, we use different degrees of jack-knifing of the original dataset used for m-year survival rates estimations to o...