Statistical issues in survival analysis (Weibull mixture distributions)
March 12, 2026 In this article, they considered modeling and statistical analysis of dependent competing risks time-to-event data in the presence of long-term survivors. They modeled the effect of the existence of long-term survivors in the population using a mixture...
Statistical issues in general (Laplace regression paired samples)
February 25, 2026 The authors explored new modeling for discrete paired data without normality assumptions. Skellam (1946) introduced the Skellam distribution as the difference of two Poisson random variables; Kozubowski and Inusah (2006) proposed the skew discrete...
Statistical issues in survival analysis (multiple events issues)
February 11, 2026 The authors in this article have presented a stepwise guidance on how to extend the simple time-to-first event model to complex multistate methodology, where multiple events are incorporated. They considered non- and semiparametric methods and show...
Statistical issues in survival analysis (ML systematic survival)
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...
Statistical issues in survival analysis (td predictive accuracy)
January 14, 2026 To evaluate the performance of a prediction model in time-to-event outcomes with censoring is very difficult. Interval censoring and competing risks present additional challenges. They proposed two methods to deal with interval censoring: a...
Statistical issues in general (count data contrast tests)
December 31, 2025 Count data are collected in many different types of experiments, yet their analysis remains challenging, especially in small sample sizes. Until now, linear or generalized linear models (GLMs) with either a Poisson or Negative Binomial distribution...
Statistical issues in general (biostatisticians meet AI)
December 17, 2025 A previously published paper, ChatGPT as a Tool for Biostatisticians: A Tutorial on Applications, Opportunities, and Limitations by Dobler et al. that also appeared in Statistics in Medicine, which according to Zhu provides a timely and insightful...
Statistical issues in survival analysis (Comment on hazards are key)
December 3, 2025 In this short article, Per Kragh Andersen has given a rebuttal to the article by Beyersmann et al (2025) which was about hazards constituting key quantities for time-to-event data. Despite arguments by other statisticians, Beyersmann et al. (2025)...
Statistical issues in survival analysis (Semi-parametric joint intercept estimation)
November 19, 2025 In longitudinal data with irregularly timed visits, semi-parametric joint models have been proposed to account for the dependence between times and the Sun model (Sun et al, 2011) has been the most suitable for count data. The authors have extended...
Statistical issues in survival analysis (Pseudo observations length-bias Cox model)
November 6, 2025 For these authors, the goal of this paper was to apply pseudo-observations to estimate the regression coefficients in the Cox proportional hazards model under length-biased right-censored (LBRC) data. On some occasions as they found, observations may...