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 | Aug 28, 2024 | Biostatistics
August 28, 2024 The authors have proposed using imputed data from subdistribution weights to train on machine learning methods for competing risk data. The authors focused on the random survival forest (RSF) method which it stars with a number of bootstrap samples...
