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 | Mar 29, 2023 | Biostatistics, Blog, New York
Statistical issues in general (Part I) March 27, 2023 In an article that first appeared in 2021 in Biometrics but is now finally open access in the same journal , the authors, Moss and Bin discuss how publication bias and p-hacking have had strong effects on...
by Usha Govindarajulu | Feb 15, 2023 | Biostatistics, Blog, New York, Usha Govindarajulu
February 15, 2023 In an article recently published in the Biometrical Journal, Magir and Jimenez discuss delayed separation of survival curves with proposals for a new weighted log-rank test to handle this through stratification. This common problem has occurred in...
by Usha Govindarajulu | Jan 19, 2023 | Biostatistics, Blog, Usha Govindarajulu
January 16, 2023 In an article recently published online in The Biometrical Journal, Handorf et al seek to understand what is the best way to model survival data in the presence of non-proportional hazards, perhaps from the effect of confounding variables. The...
by Usha Govindarajulu | Jan 7, 2023 | Biostatistics, Blog, Usha Govindarajulu
January 3, 2022 In an article originally published online August 13, 2021, but published recently in print, Vakulenko-Lagun et al discuss a technique to handle dependence between event times and left truncation. The left truncation generally happens due when there is...
