by Usha Govindarajulu | May 22, 2024 | Biostatistics, Blog, Usha Govindarajulu
May 22, 2024 The authors have presented a review of current survival methods and contemporary methods that could help handle some of the issues that arise with current methods. The authors then went through description of current methods. They discussed censoring and...
by Usha Govindarajulu | May 8, 2024 | Biostatistics, Blog, COVID-19, Usha Govindarajulu
May 8, 2024 The main goal of this article was to effectively assess COVID-19 rumor patterns and causes of their persistence using survival analysis methods to thereby reduce the misinformation during the pandemic. Their data came from 754 instances of rumors from...
by Usha Govindarajulu | Apr 10, 2024 | Biostatistics, Blog, Usha Govindarajulu
April 10, 2024 The authors aimed to assess overall survival rates for colorectal cancer (CRC) at 3 years and also identify the associated prognostic factors amongst patients in Morocco using a machine learning approach, a random survival forest (RSF). CRC has...
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 | Jan 17, 2024 | Biostatistics, Blog, Usha Govindarajulu
January 17, 2023 In an article that appeared in Biometrical Journal, Hoogland et al (2023) had aimed to combine the benefits of flexible parametric survival modeling and regularization in order to improve risk prediction modeling in the context of time-to-event data....