Statistical issues in survival analysis (Part XVVVIV)
July 17, 2024 The authors have written a new article about using average hazard (AH) as compared to restricted mean survival time (RMST) as a measure instead of hazard ratios which are instantaneous measures of effect generally obtained through estimation of a Cox...
Statistical issues in survival analysis (Part XVVVIII)
July 4, 2024 The authors discussed the use of the standardized mortality ratio (SMR) to compare survival across centers, especially in the context of U.S. kidney transplant center evaluation. The SMR is calculated based on indirect standardization methods in general...
Statistical issues in general (Part V)
The goals of this paper were to provide a set of conditions for inverse probability weights (IPW) to target a subpopulation of the patients who have clinical equipose, establish a relationship between matching weights and overlap weight estimators, and use the beta...
Statistical issues in survival analysis (Part XVVVII)
June 5, 2024 The authors have come up with a proportional risk model to assess treatment effect in time-to-event data. One thing they first discussed which is important to note is that relative risk (RR) and hazard ratio (HR) are definitely not the same...
Statistical issues in survival analysis (Anticancer research 16835)
May 22, 2024 The authors have presented a review of current survival methods and contemporary methods that could help handle some of the issues that arise with current methods. The authors then went through description of current methods. They discussed censoring and...
Statistical issues in survival analysis (BMC Public Health article 519)
May 8, 2024 The main goal of this article was to effectively assess COVID-19 rumor patterns and causes of their persistence using survival analysis methods to thereby reduce the misinformation during the pandemic. Their data came from 754 instances of rumors from...
Statistical issues in survival analysis (Part XVVVI)
April 24, 2024 The motivation was assessing continuous risk scores with biomarker distributions. The authors defined that the precision-recall curve is a plot of the true positive rate (which is also known as recall or sensitivity) against the positive predictive...
Statistical issues in survival analysis (Nature article 3556)
April 10, 2024 The authors aimed to assess overall survival rates for colorectal cancer (CRC) at 3 years and also identify the associated prognostic factors amongst patients in Morocco using a machine learning approach, a random survival forest (RSF). CRC has...
Statistical issues in survival analysis (Part XVVV)
March 27, 2024 In this article, the authors described their Schemper-Henderson measure to account for explained variation for survival outcomes, extended to allow for competing risks. They defied explained variation as the relative gain in predictive accuracy when...
Statistical issues in survival analysis (Part XVVIV)
March 13, 2024 New immunotherapies for cancer have shown to have different treatment effects often with delay compared to other cytotoxic treatments and, therefore, this has called for different ways of modeling the survival curves. The usual log-rank test has relied...