Results 11 to 20 of about 2,431,681 (314)

Benchmarking survival outcomes: A funnel plot for survival data [PDF]

open access: yesStatistical Methods in Medical Research, 2022
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

Neoadjuvant Bevacizumab Plus Docetaxel/Cisplatin/Capecitabine Chemotherapy in Locally Advanced Gastric Cancer Patients: A Pilot Study

open access: yesFrontiers in Surgery, 2022
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

Instrumental variable-based high-dimensional mediation analysis with unmeasured confounders for survival data in the observational epigenetic study

open access: yesFrontiers in Genetics, 2023
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

Estimating the Individual Treatment Effect on Survival Time Based on Prior Knowledge and Counterfactual Prediction

open access: yesEntropy, 2022
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

How to use χ2 test correctly——the three kinds of special tests of the survival data and the implementation of the SAS software

open access: yesSichuan jingshen weisheng, 2021
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]

open access: yesAnnual Review of Public Health, 1984
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

Simulating time-to-event data under the Cox proportional hazards model: assessing the performance of the non-parametric Flexible Hazards Method

open access: yesFrontiers in Applied Mathematics and Statistics, 2023
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]

open access: yes, 2004
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

open access: yesFrontiers in Genetics, 2021
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

Survival data.

open access: yes, 2021
Fig 3A survival data. (XLSX)
Nahed K. Hasan (11502353)   +7 more
core   +1 more source

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