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On pseudo-values for regression analysis in competing risks models

Graw, Frederik ; Gerds, Thomas ; Schumacher, Martin

In: Lifetime Data Analysis, 2009, vol. 15, no. 2, p. 241-255

Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times

Maathuis, M. H. ; Hudgens, M. G.

In: Biometrika, 2011, vol. 98, no. 2, p. 325-340

Competing risks analyses: objectives and approaches

Wolbers, Marcel ; Koller, Michael T. ; Stel, Vianda S. ; Schaer, Beat ; Jager, Kitty J. ; Leffondré, Karen ; Heinze, Georg

In: European Heart Journal, 2014, vol. 35, no. 42, p. 2936-2941

Online Dynamic Algorithm Portfolios : minimizing the computational cost of problem solving

Gagliolo, Matteo ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2010 ; 2010INFO004.

This thesis presents methods for minimizing the computational effort of problem solving. Rather than looking at a particular algorithm, we consider the issue of computational complexity at a higher level, and propose techniques that, given a set of candidate algorithms, of unknown performance, learn to use these algorithms while solving a sequence of problem instances, with the aim of...

Estimating the out-of-hospital mortality rate using patient discharge data

Farsi, Mehdi ; Ridder, Geert

This paper is a case study of the use of public use administrative data for the estimation of empirical relations when key dependent variables are not available in the data. It is shown that the out-of-hospital mortality rates can be identified using the patient discharge data without post-discharge death records. Using data on the lengths of hospitalizations and out-of-hospital spells, the...