Results 191 to 200 of about 22,611 (308)
On a semiparametric survival model with flexible covariate effect.
A semiparametric hazard model with parametrized time but general covariate dependency is formulated and analyzed inside the framework of counting process theory. A profile likelihood principle is introduced for estimation of the parameters: the resulting
Nielsen, Jens P. +2 more
core
ABSTRACT Background Adenoid cystic carcinoma (ACC) is a rare malignancy with a propensity for perineural invasion and hematogenous spread. Central nervous system (CNS) involvement is uncommon, and detailed clinical and genomic data on this aspect of the disease remain limited.
Omar Elghawy +7 more
wiley +1 more source
Estimating Baseline Survival Function in the Proportional Hazards Model Under Monotone Hazards. [PDF]
Wu Y, Chappell R.
europepmc +1 more source
ABSTRACT Background Locoregional recurrence remains a clinically relevant problem in oral squamous cell carcinoma (OSCC). Whether local, ipsilateral nodal, and contralateral nodal failure represent distinct disease processes with different clinicopathological associations has not been systematically evaluated.
Jannik Ketschau +9 more
wiley +1 more source
Survival Models for Predictive Maintenance and Remaining Useful Life in Sensor-Enabled Smart Energy Networks: A Review. [PDF]
Shadi MR +3 more
europepmc +1 more source
Informative censoring in piecewise exponential survival models
There are often reasons to suppose that there is dependence between the time to event and time to censoring, or informative censoring, for survival data, particularly when considering medical data.
Collett, David +3 more
core
Regression analysis of interval-censored competing risks data with missing causes of failure: A direct likelihood approach. [PDF]
Lou Y, Ma Y, Xiang L, Sun J.
europepmc +1 more source
Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring. [PDF]
Zhang Z, Gui W.
europepmc +1 more source
Years of life lost in cutaneous squamous cell carcinoma: analysis of a prospective cohort of 1400 patients. [PDF]
Dietz K, Eigentler TK, Breuninger H.
europepmc +1 more source
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago +3 more
wiley +1 more source

