Results 11 to 20 of about 2,431,681 (314)
Benchmarking survival outcomes: A funnel plot for survival data [PDF]
Benchmarking is commonly used in many healthcare settings to monitor clinical performance, with the aim of increasing cost-effectiveness and safe care of patients. The funnel plot is a popular tool in visualizing the performance of a healthcare center in relation to other centers and to a target, taking into account statistical uncertainty.
Putter, H. +7 more
openaire +6 more sources
BackgroundBevacizumab (BEV) plus chemotherapy as a neoadjuvant regimen presents good efficacy in patients with locally advanced cancer. However, its role in patients with locally advanced gastric cancer (LAGC) is not clear.
Deguo Yu +3 more
doaj +1 more source
Background: High dimensional mediation analysis is frequently conducted to explore the role of epigenetic modifiers between exposure and health outcome.
Fangyao Chen +7 more
doaj +1 more source
The estimation of the Individual Treatment Effect (ITE) on survival time is an important research topic in clinics-based causal inference. Various representation learning methods have been proposed to deal with its three key problems, i.e., reducing ...
Yijie Zhao, Hao Zhou, Jin Gu, Hao Ye
doaj +1 more source
The purpose of the paper was to introduce the three special tests of the survival data and the SAS implementation. Specifically, it was the multiple comparisons, the trend test and the covariate test of the survival data.
Hu Chunyan, Hu Liangping
doaj +1 more source
Statistical Analysis of Survival Data [PDF]
A general review of the statistical techniques that the authors feel are most important in the analysis of survival data is presented. The emphasis is on the study of the duration of time between any two events as applied to people and on the nonparametric and semiparametric models most often used in these settings. The unifying concept is the hazard
J, Crowley, N, Breslow
openaire +2 more sources
Numerous methods and approaches have been developed for generating time-to-event data from the Cox Proportional Hazards (CPH) model; however, they often require specification of a parametric distribution for the baseline hazard even though the CPH model ...
Jennifer L. Delzeit, Devin C. Koestler
doaj +1 more source
Goodness-of-fit criteria for survival data [PDF]
The definition of an appropriate measure for goodness-of-fit in case of survival data comparable to R^2 in linear regression is difficult due to censored observations.
Müller, Martina, Müller, M.
core +1 more source
High-Dimensional Mediation Analysis Based on Additive Hazards Model for Survival Data
Mediation analysis has been extensively used to identify potential pathways between exposure and outcome. However, the analytical methods of high-dimensional mediation analysis for survival data are still yet to be promoted, especially for non-Cox model ...
Yidan Cui +7 more
doaj +1 more source

