by Usha Govindarajulu | Sep 14, 2023 | Biostatistics, Usha Govindarajulu
September 13, 2023 In their paper, the authors, Wang et al focused on estimation of casual effects of a treatment on survival outcomes with censoring with propensity score (PS) adjustment. They also used alternative measures of survival like restricted average causal...
by Usha Govindarajulu | Feb 2, 2023 | Biostatistics, Blog
February 1, 2023 In an article recently published in Biometics, Huang et al discuss how to adjust for publication bias in meta analyses via using inverse probability weighted adjusted measures of meta-analyses. The authors were motivated by the fact that...
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...
