… and is further developed and re-evaluated in this contribution. The notion of an average
hazard ratio is defined and its connection to the effect size measure P(X<Y) is emphasized. The …

… S between 0.25 and 0.875. Even under a bivariate normal distribution, differences between
τ and r S can be substantial, for example, τ = 0.5 relates to r S … of Spearman's r S to censoring…

… OC is preferable if the relative importance of hazard ratios at different times is considered …
The weight function then equals f(t)[S 0 (t)S 1 (t)] 1/2 , which is the density multiplied by the …

… Current therapeutic strategies obviously fall short in effectively supporting these patients
and, in particular, it is questionable whether conventional hemodialysis is the best renal …

… The aim of this technical report is to give a short overview of known techniques for network
tomography (introduced in the paper of Vardi (1996)), extended by a Bayesian approach …

… Little, however, is known about prognostic indices and outcome in patients with CHF who
(sub-)acutely progress to dialysis dependency. DESIGN AND SETTING: We evaluated …

… Bayesian model averaging is conceptually straight-… is well-suited for situations where the
quantity of interest is modelindependent, such as in dose-finding studies where the objective is …

… Part of the problem is that there is no commonly accepted definition of ‘additionality’, and
additionality is currently not quantifiable. The updated scope 2 guidance should therefore …

… the proportional hazards assumption is violated. A further benefit is improved robustness
against … A SAS macro written by Georg Heinze from our department is available for download at …

… Summary: Analysis and measurement of tax evasion is a very important issue primarily for
the tax administration. The purpose of this article is first to show how to analyze tax evasion …