I have a data set on a disease and weight change (sample size=100). Both variables are categorical (disease=Yes/No, weight change= Yes/No). In weight change variable there is 40% missing observation. Data are collected from a hospital's registry book. If I want to find association of weight change with disease using logistic regression what type of imputation is needed for this categorical dependent variable? Could anybody give me any suggestion?