Results 241 to 250 of about 381,914 (292)

Prognostic utility of systemic immune-inflammation markers in locally advanced cervical cancer undergoing radical radiotherapy. [PDF]

Oncologist
Li Y, Han J, Xiao S, Zhong S, Liu J, Li H, Xie X, Gong Z, Xu H.   +8 more
europepmc   +1 more source

Evaluation of Time-related Bias With Non-user Control. [PDF]

J Epidemiol
Morita H, Matsuura K, Seya N, Taguri M.
europepmc   +1 more source

Development and validation of an 11-CpG methylation signature-based nomogram for predicting prognosis in early-onset breast cancer. [PDF]

Transl Cancer Res
Tang J, Li Y, Han X.
europepmc   +1 more source

Development and validation of machine learning models for predicting cancer-specific survival in colorectal signet ring cell carcinoma. [PDF]

BMC Gastroenterol
Gao F, Xu X.
europepmc   +1 more source

Identification of Prognostic Risk Factors in Older Patients With Extensive-Stage Small Cell Lung Cancer. [PDF]

Cancer Med
Liu J, Liu X, Li X, Liu N, Wang B, Feng L, Fan Z, Wang L, Han J, Zhang X, Jin H, Li D, Liu Y, Zuo J, Wang Y.   +14 more
europepmc   +1 more source

Relation of pooled logistic regression to time dependent cox regression analysis: The framingham heart study

Statistics in Medicine, 1990
AbstractA standard analysis of the Framingham Heart Study data is a generalized person‐years approach in which risk factors or covariates are measured every two years with a follow‐up between these measurement times to observe the occurrence of events such as cardiovascular disease.
Ralph B. D’Agostino, Mei‐Ling Ting Lee, Albert J. Belanger, L. Adrienne Cupples, Keaven M. Anderson, William B. Kannel   +5 more
exaly   +5 more sources

On the Use of Gaussian Process Regression and Multiple Imputation in Cox Regression Models with Time-Dependent Covariates

2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
Kenta Tanaka, Tomoyuki Sugimoto
exaly   +4 more sources