Results 61 to 70 of about 784,391 (328)
Statistics in Medicine, 2014 The Cox proportional hazards model is frequently used in medical statistics. The standard methods for fitting this model rely on the assumption of independent censoring.
semanticscholar +1 more source
Molecular Oncology, EarlyView.This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
Bayesian random threshold estimation in a Cox proportional hazards cure model [PDF]
, 2013 Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102705/1/sim5964 ...
Bellile, Emily L. +3 more
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Molecular Oncology, EarlyView.The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song +11 more
wiley +1 more source
A penalized Cox proportional hazards model with multiple time-varying exposures [PDF]
, 2017 In recent pharmacoepidemiology research, the increasing use of electronic medication dispensing data provides an unprecedented opportunity to examine various health outcomes associated with long-term medication usage.
Gao, Sujuan, Liu, Hai, Wang, Chenkun
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Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
Efficient Estimation and Inference in the Proportional Odds Model for Survival Data
Mathematics, 2022 In modeling time-to-event data with long-term survivors, the proportional hazards model is widely used for its easy and direct interpretation as well as the flexibility to accommodate the past information and allow time-varying predictors.
Xifen Huang +4 more
doaj +1 more source
Molecular Oncology, EarlyView.PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Estimation of treatment effects in weighted log-rank tests
Contemporary Clinical Trials Communications, 2017 Non-proportional hazards have been observed in clinical trials. The log-rank test loses power and the standard Cox model generally produces biased estimates under such conditions.
Ray S. Lin, Larry F. León
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Attributable Risk Function in the Proportional Hazards Model [PDF]
, 2005 As an epidemiological parameter, the population attributable fraction is an important measure to quantify the public health attributable risk of an exposure to morbidity and mortality.
Chen, Ying Qing +2 more
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