Results 81 to 90 of about 25,673,599 (348)
Aim The influence of frailty on outcomes after hepatectomy for perihilar cholangiocarcinoma (PHCC) remains unclear. This study aimed to investigate the impact of frailty on the incidence of postoperative complications and survival after major hepatectomy
Kiyotaka Hosoda+9 more
doaj +1 more source
Review of statistical methods for survival analysis using genomic data
Survival analysis mainly deals with the time to event, including death, onset of disease, and bankruptcy. The common characteristic of survival analysis is that it contains “censored” data, in which the time to event cannot be completely observed, but ...
Seungyeoun Lee, Heeju Lim
semanticscholar +1 more source
Heterogeneity in survival analysis [PDF]
AbstractI discuss the impact of individual heterogeneity in survival analysis. It is well known that this phenomenon may distort what is observed. A general class of mixing (or frailty) distributions is applied, extending a model of Hougaard. The extension allows part of the population to be non‐susceptible, and contains the traditional gamma ...
openaire +3 more sources
Cure Models in Survival Analysis [PDF]
When analyzing time-to-event data, it often happens that a certain fraction of the data corresponds to subjects who will never experience the event of interest. These event times are considered as infinite and the subjects are said to be cured. Survival models that take this feature into account are commonly referred to as cure models.
Amico, Maïlis, Van Keilegom, Ingrid
openaire +4 more sources
In the adult T‐cell leukemia/lymphoma (ATL) cell line ED, the human T‐cell leukemia virus type 1 (HTLV‐1) provirus was integrated into the intron of the ift81 gene in the antisense orientation. Despite this integration, both the intact ift81 and the viral oncogene hbz were simultaneously expressed, likely due to the functional insufficiency of viral ...
Mayuko Yagi+5 more
wiley +1 more source
CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images
Survival analysis is a branch of statistics to analyze the time duration that is expected until some events of interest happen, like the death in the organisms of biology.
Bo Tang, Ao Li, Bin Li, Minghui Wang
semanticscholar +1 more source
Essence of survival analysis† [PDF]
AbstractMany clinical trials are designed based on a time-to-event endpoint. Overall survival and progression-free survival are commonly used, especially in Phase II and III clinical trials. Overall survival measures the time to death from any cause, while progression-free survival measures the time to progression of the disease or death from any cause.
openaire +3 more sources
On Null Hypotheses in Survival Analysis [PDF]
Abstract The conventional nonparametric tests in survival analysis, such as the log-rank test, assess the null hypothesis that the hazards are equal at all times. However, hazards are hard to interpret causally, and other null hypotheses are more relevant in many scenarios with survival outcomes.
Pål Christie Ryalen+3 more
openaire +4 more sources
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu+17 more
wiley +1 more source
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria+3 more
wiley +1 more source