Nov 27Statistical issues in survival analysis (Part XVIII)November 22, 2023 In this article that appeared in Journal of Probability and Statistics, the authors described a new test as an alternative to the log-rank test to compare late differences between survival curves. Normally, in these approaches, a weighted version or the log-rank test had been proposed to handle…2 min read2 min read
Nov 14Statistical issues in survival analysis (Part XIV)November 9, 2023 In this article that appeared in a special issue in the Biometrical Journal, Morelle et al described a joint modeling approach to account for the longitudinal followup of patients at subsequent hospitalization or competing risk. While most prognostic scores ignore biomarker changes over the time, the proposed…3 min read3 min read
Oct 30Statistical issues in survival analysis (Part XVI)October 15, 2023 The authors discussed how to handle model joint survival and longitudinal modeling in the presence of informative censoring caused by informative dropouts by participants in a study. The authors framed this in terms of palliative care studies where the quality of life (QOL) is the longitudinal portion…3 min read3 min read
Oct 16Statistical issues in survival analysis (Part XV)October 11, 2023 In this recent article by Hoogland et al, the authors have proposed combining flexible parametric survival modeling with regularization in order to improve risk prediction modeling for time-to-event data and, thus, they made a unified regularation approach for log hazard and cumulative hazard models avalable in an…2 min read2 min read
Oct 3Statistical issues in general (Part II)September 25, 2023 The authors, Hanke et al, discussed variable selction methods for linear regression and that the best subset selection (BSS) is not always the best choice. After Bertsimas et al (2016) pushed BSS as a mixed-integer optimization problem (MIO) so that number of optimal variables could be in…3 min read3 min read
Sep 19Statistical issues in survival analysis (Part XIV)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 effect (RACE) and survival probability causal effect (SPCE). For…3 min read3 min read
Sep 5Statistical issues in survival analysis (Part XIII)August 30, 2023 In this article that appeared in a special issue in the Biometrical Journal, Chen et al describe how restricted mean survival time (RMST), an alternative representation of survival time, can be adapted to have clustering. They were motivated by multicenter randomized trials or cluster randomized trials. …3 min read3 min read
Aug 21Issues in COVID-19 research and statistical analyses (08.16.23)Issues in COVID-19 research and statistical analyses (08.16.23) The authors developed a proportional incidence model to estimate vaccine effectiveness (VE) but at the population level. Understanding VE during the COVID-19 pandemic was very important. Since obtaining individual level data linkages, the authors used aggregated counts from publicly available registries of…3 min read3 min read
Aug 7Statistical issues in survival analysis (Part XII)August 2, 2023 In this article published in June online, Lancker et al describe a way for valid inference of hazard ratios from a Cox regression after variable selection. The problem has been that it is unknown which amount of covariates to use to control for confounding and informative censoring…3 min read3 min read
Jul 24Statistical issues in survival analysis (Part XI)July 19, 2023 The authors, Ning et al, have proposed what they refer to as a “broad class” of “so called” Cox-Aalen transformation models which have elements of both multiplicative and additive covariate effects on the baseline hazard function contained within the transformation. Originally, the Cox proporiotnal hazards regression model…2 min read2 min read
