Predicting MCI-to-Alzheimer's Conversion: A Systematic Benchmark of Classical, Machine Learning, and Deep Survival Models. [PDF]
Santa NA, Daza-Santacoloma G, Serna WS.
europepmc +1 more source
Federated Time-to-Event Data Analysis Using Piecewise Exponential Regression in DataSHIELD. [PDF]
Svennblad B +3 more
europepmc +1 more source
Outcome-Adaptive Lasso for Cox Proportional Hazards Model. [PDF]
Liu F, Liu J, Wang H.
europepmc +1 more source
Tree-based multivariate regression and density estimation with right-censored data
We propose a unified strategy for estimator construction, selection, and performance assessment in the presence of censoring. This approach is entirely driven by the choice of a loss function for the full (uncensored) data structure and can be stated in ...
Dudoit, Sandrine +2 more
core
Censoring-adjusted tree-based policy learning for estimating dynamic treatment regimes with censored outcomes. [PDF]
Paul AK, Greiner R.
europepmc +1 more source
Unbalanced groups in nonparametric survival tests [PDF]
It is fairly common to find medical examples with survival data with unequal sample size among the groups. There are several tests for those cases, but in practice, the use of one test instead of another is done without justifying the election. Sometimes,
Emilio Leton, Pilar Zuluaga
core
Efficient estimation for deep generalized accelerated hazards models with interval-censored data. [PDF]
Wu Q, Du M, Ma S, Zhao X.
europepmc +1 more source
R-estimation with right-censored data. [PDF]
Satten GA, Li M, Zhao N, Strawderman RL.
europepmc +1 more source
A novel Weighted Exponential-Lindley distribution with Bayesian estimation under progressive Type-II censoring and a Bayesian-Calibrated Variational Autoencoder for survival prediction. [PDF]
Furqan Ahmed P, Sujatha V.
europepmc +1 more source
Dynamic risk assessment by landmark modeling of the restricted residual mean survival time. [PDF]
Zhang Y, Schaubel DE.
europepmc +1 more source

