Inverse Probability of Treatment Weighting Using the Propensity Score With Competing Risks in Survival Analysis. [PDF]
Austin PC, Fine JP.
europepmc +1 more source
A multifunctional heparinized polyamide membrane embedded with graphene quantum dots (GQDs) and hyperbranched polyethyleneimine (HPEI) is engineered for efficient bilirubin removal via a one‐step anticoagulation–adsorption process. The membrane demonstrates enhanced hemocompatibility, prolonged clotting times, and high bilirubin adsorption capacity ...
Abdur Rehman Mushtaq Ahmad +6 more
wiley +1 more source
Statistical models versus machine learning approach for competing risks in proctological surgery. [PDF]
Romano L +6 more
europepmc +1 more source
Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation. [PDF]
Ferede MM, Nakhaei Rad N, Chen DG.
europepmc +1 more source
Health and aging trajectories: shared and competing risks and resiliencies for chronic diseases associated with aging. A NIH-wide workshop. [PDF]
Rovira II +10 more
europepmc +1 more source
Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning. [PDF]
Wang E, Shuryak I, Brenner DJ.
europepmc +1 more source
Association of the triglyceride-glucose index with cardiovascular mortality risk and competing risks in arthritis patients. [PDF]
Hei J, Cai D, Wang D, Rong F, Tao R.
europepmc +1 more source
Related searches:
Competing risks models can be used to compare the effect of risk factors for different causes of death or subtypes of a disease. However, sometimes more than one outcome classification is available and if two such classifications are correlated, one may speculate whether differences in the effect of a risk factor according to one classification simply ...
Wohlfahrt, J. +2 more
openaire +2 more sources

