Results 11 to 20 of about 4,691,817 (292)
Frontiers 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
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Entropy, 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
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Sichuan 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
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Frontiers 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
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High-Dimensional Mediation Analysis Based on Additive Hazards Model for Survival Data
Frontiers 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
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What Do the First 597 Global Fungal Red List Assessments Tell Us about the Threat Status of Fungi?
Diversity, 2022 Fungal species are not immune to the threats facing animals and plants and are thus also prone to extinction. Yet, until 2015, fungi were nearly absent on the IUCN Red List.
Gregory M. Mueller +28 more
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Benchmarking survival outcomes: A funnel plot for survival data [PDF]
Statistical 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
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Deep Learning-Based Survival Analysis for High-Dimensional Survival Data
Mathematics, 2021 With the development of high-throughput technologies, more and more high-dimensional or ultra-high-dimensional genomic data are being generated. Therefore, effectively analyzing such data has become a significant challenge.
Lin Hao +3 more
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Modeling left-truncated and right-censored survival data with longitudinal covariates [PDF]
, 2012 There is a surge in medical follow-up studies that include longitudinal covariates in the modeling of survival data. So far, the focus has been largely on right-censored survival data.
Su, Yu-Ru, Wang, Jane-Ling
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Journal of Statistical Software, 2018 In clinical research subjects are usually observed during a period of time. Primary and secondary endpoints are often either responses measured longitudinally over time or the time at which an event of interest occurs.
Alberto Garcia-Hernandez +1 more
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