by Usha Govindarajulu | Jul 31, 2024 | Biostatistics, Blog, Usha Govindarajulu
July 31, 2024 The authors discussed applications of artificial intelligence (AI)/machine learning algorithms in survival analysis to skin cancer research publications. They reported on 16 such publications. Supervised machine learning (ML) would have used existing...
by Usha Govindarajulu | Feb 28, 2024 | Blog
February 26, 2024 TABLE 1. Summary of the available methods for survival regression with competing risks (CR). Model Type Proportional hazards (PH) High dimensions (�) Missing data Approaches based on a cause-specific hazard specification Cox proportional CS hazard...
by Usha Govindarajulu | Jun 9, 2023 | Biostatistics, Blog, Machine Learning, Usha Govindarajulu
June 7, 2023 The authors reviewed methods for complex survival data in terms of frailty models, like the recent advances and R packages. They explored areas of clustered outcomes, competing risks, illness-death model. They did admit their review did not cover two...
by Usha Govindarajulu | Nov 13, 2019 | Biostatistics, Epidemiology, New York, Professor, Usha Govindarajulu
Women have shown that they’re capable of pursuing any career they choose, but new research reveals that some of those choices may have more detrimental effects on their health. The recent study found that there are certain career fields that can negatively...
by Usha Govindarajulu | Sep 4, 2019 | Biostatistics, Blog, Machine Learning, New York, Professor, Usha Govindarajulu
Personalization has become an important part of the online experience. Today, top websites use machine learning technology to make that happen. Where you would normally need to compile data on your customers and use the data of their past choices to decide what to...
