144 research outputs found
Post-Selection Inference for the Cox Model with Interval-Censored Data
We develop a post-selection inference method for the Cox proportional hazards
model with interval-censored data, which provides asymptotically valid p-values
and confidence intervals conditional on the model selected by lasso. The method
is based on a pivotal quantity that is shown to converge to a uniform
distribution under local alternatives. The proof can be adapted to many other
regression models, which is illustrated by the extension to generalized linear
models and the Cox model with right-censored data. Our method involves
estimation of the efficient information matrix, for which several approaches
are proposed with proof of their consistency. Thorough simulation studies show
that our method has satisfactory performance in samples of modest sizes. The
utility of the method is illustrated via an application to an Alzheimer's
disease study.Comment: 46 pages, 14 figure
Supramolecular compartmentalized hydrogels via polydopamine particle-stabilized water-in-water emulsions
Compartmentalized hydrogels constitute a significant research area, for example, for catalytic and biomedical applications. As presented here, a generic method is used for compartmentalization of supramolecular hydrogels by using water-in-water emulsions based on aqueous two-phase systems. By forming the supramolecular hydrogel throughout the continuous phase of all-aqueous emulsions, distinct, microcompartmentalized materials were created. The basis for the presented compartmentalized water-in-water hydrogels is polydopamine particle-stabilized water-in-water emulsions from dextran and poly(ethylene glycol) (PEG). Addition of α-cyclodextrin (α-CD) led to supramolecular complexation with PEG and subsequent hydrogel formation showing no signs of creaming. Due to the supramolecular nature of the compartmentalized hydrogels, selective network cleavage could be induced via competing guest addition, while keeping the emulsion substructure intact
- …