Results 241 to 250 of about 514,439 (307)

Parametric Estimation of the Mean Number of Events in the Presence of Competing Risks. [PDF]

Biom J
Entrop JP, Jakobsen LH, Crowther MJ, Clements M, Eloranta S, Dietrich CE.   +5 more
europepmc   +1 more source

Outcomes of functional ventricular tachycardia ablation vs. medical therapy in Chagas cardiomyopathy patients with implantable cardioverter-defibrillators: a competing risks analysis. [PDF]

Europace
Silva GA, Wilnes B, Castello-Branco B, da Silva JLP, Mayrink MP, França AT, França MRQ, Fonseca IMG, Castro de Miranda R, Nunes MDCP, Carmo AAL.   +10 more
europepmc   +1 more source

A Pseudo-Value Approach to Causal Deep Learning of Semi-Competing Risks. [PDF]

Arab J Math
Salerno S, Li Y.
europepmc   +1 more source

A Competing-Risks Approach to the Progression, Regression and Persistence of High-Grade Cervical Dysplasia in Patients over 30 Years Old-A Prospective Study. [PDF]

J Clin Med
Munteanu IV, Socolov D, Socolov R, Adam AM, Adam G, Vasilache IA, Vicoveanu P, Harabor V, Harabor A, Calin AM.   +9 more
europepmc   +1 more source

Using Restricted Mean Time Lost to Evaluate the Prognostic Effects on Locally Advanced Breast Cancer Considering Competing Risks. [PDF]

Clin Epidemiol
Li Z, Liu D, Hou Y, Chen Z.
europepmc   +1 more source

Competing risks

, 2008
This chapter investigates the area of competing risks.
Bedford, T.J., Alkali, B., Burnham, R,
openaire   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Multivariate competing risks

Statistics in Medicine, 1999
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., Andersen, Per Kragh, Melbye, Mads   +2 more
openaire   +2 more sources

The Identifiability of the Competing Risks Model

Biometrika, 1989
This paper considers the consequences for identifiability of introducing regressors into the competing risks model of multistate duration analysis. We establish conditions under which access to regressors overturns the nonidentification theorem of \textit{D. R. Cox} [Renewal theory (1962; Zbl 0103.115)] and \textit{A. Tsiatis} [Proc. Natl. Acad.
Heckman, James J., Honoré, Bo E.
openaire   +2 more sources