Results 131 to 140 of about 1,576,634 (357)

Estimation in a Cox Proportional Hazards Cure Model [PDF]

, 2000
Judy P. Sy, Jeremy M. G. Taylor
openalex   +1 more source

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks. [PDF]

Biostatistics, 2023
Tarkhan A, Simon N.
europepmc   +1 more source

Functional ANOVA modeling for proportional hazards regression [PDF]

, 2000
Jianhua Z. Huang, Charles Kooperberg, Charles J. Stone, Young K. Truong   +3 more
openalex   +1 more source

Predictive maintenance of systems subject to hard failure based on proportional hazards model

Reliability Engineering & System Safety, 2020
Jiawen Hu, Piao Chen
semanticscholar   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Non-collapsibility and Built-in Selection Bias of Hazard Ratio in Randomized Controlled Trials [PDF]

arXiv
Background: The hazard ratio of the Cox proportional hazards model is widely used in randomized controlled trials to assess treatment effects. However, two properties of the hazard ratio including the non-collapsibility and built-in selection bias need to be further investigated.
arxiv  

Proportional Hazards Models: A Latent Competing Risk Approach [PDF]

, 2000
Alan E. Gelfand, Sujit K. Ghosh, Claus Christiansen, Stephen B. Soumerai, Thomas J. McLaughlin   +4 more
openalex   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

Molecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source

Factors Affecting the Survival of Patients with Gastric Cancer Undergone Surgery at Iran Cancer Institute: Univariate and Multivariate Analyses.

Iranian Journal of Public Health, 2014
Gastric cancer is the most prevalent cancer among men and the third most prevalent cancer among women in Iran. Its most important reason for death is its belated diagnosis at the advanced stages of the disease.
Ali Zare, Mahmood Mahmoodi, Kazem Mohammad, Hojjat Zeraati, Mostafa Hosseini, Kourosh Holakouie Naieni   +5 more
doaj