Predicting long-term multicategory cause of death in patients with prostate cancer: random forest versus multinomial model.

The majority of patients with prostate cancer die of non-cancer causes of death (COD). It is thus important to accurately predict multi-category COD in these patients. Random forest (RF), a popular machine learning model, has been shown useful for predicting binary cancer-specific deaths.

Community Effectiveness RCT of a Comprehensive Psychosocial Treatment for High-Functioning Children With ASD.

This community effectiveness randomized clinical trial examined the feasibility and effectiveness of a comprehensive psychosocial treatment, summerMAX, when implemented by a community agency. Fifty-seven high-functioning children (48 male, 9 female), ages 7-12 years with autism spectrum disorder participated in this study. The 5-week summerMAX treatment included instruction and therapeutic activities targeting social/social-communication skills, interpretation of nonliteral language skills, face-emotion recognition skills, and interest expansion.