by Usha Govindarajulu | Jan 30, 2026 | Biostatistics, Blog, Healtcare, Machine Learning, Professor, Usha Govindarajulu
January 28, 2026 Machine learning (ML) offers opportunities to overcome limitations of conventional survival analyses, which are commonly found in cancer studies. It becomes unclear whether they consistently outperform traditional statistical methods and whether one...
by Usha Govindarajulu | Jun 4, 2025 | Biostatistics, Blog, Professor, Usha Govindarajulu
June 4, 2025 The authors discussed a weighted repeated measures correlation coefficient which could work even in the presence of missing data. The Pearson correlation coefficient cannot be used in these data due to violations of independent data. Also, some measures...
by Usha Govindarajulu | May 21, 2025 | Biostatistics, Blog, Professor, Usha Govindarajulu
May 21, 2025 The authors focused on adjustment for conditional bias in hazard ratios from overall survival (OS) in both interim and final analysis in trial where the overall hierarchical strategy was applied. They first showed a conditional bias (CB) adjusted...
by Usha Govindarajulu | May 24, 2023 | Biostatistics, Blog, Professor, Usha Govindarajulu
May 24, 2023 The authors developed a semiparametric maximum likelihood estimation procedure via a kernel smoothed-aided expectation-maximization algorithm. The variances for this were estimated through weighted bootstrap. The authors focused on this for the...
by Usha Govindarajulu | Feb 4, 2022 | Biostatistics, Blog, COVID-19, New York, Professor, Usha Govindarajulu
February 2, 2022 A recent article in the Lancet Infectious Diseases presents a large scale study of post-vaccination infection conducted in the United Kingdom to assess potential long-haul symptoms. It was a prospective, community-based, nested, case-control study...
by Usha Govindarajulu | Jan 20, 2022 | Biostatistics, Blog, COVID-19, Professor, Usha Govindarajulu
January 18, 2022 A recent article in the New England Journal of Medicine (NEJM) presents results from a large cohort study from New York State on COVID-19 vaccine effectiveness. They used data for 8,690,825 adults in New York State to assess the effectiveness of the...
