Binary logistic regression predicting survival at 1-year following mother’s death.

Predictor variables for survival success included in the model were Orphan age (in years), Adoptor age-class (infant, juvenile, sub-adult, adult) and the adopter-orphan Relationship as siblings vs non-siblings (Hosmer and Lemeshow χ2 = 9.62, df = 8, p = 0.29). The model correctly classified 50% of those who died before 1-year, and 96% of those who survived, for an overall success rate of 84.8%.