2 citations · 4 across the 11 of their papers we have counts for
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stat.ME2020★ 2 cited
Non Proportional Odds Models are Widely Dispensable -- Sparser Modeling based on Parametric and Additive Location-Shift Approaches
Gerhard Tutz, Moritz Berger
The potential of location-shift models to find adequate models between the proportional odds model and the non-proportional odds model is investigated. It is demonstrated that thes…
stat.ME2020
Transition Models for Count Data: a Flexible Alternative to Fixed Distribution Models
Moritz Berger, Gerhard Tutz
A flexible semiparametric class of models is introduced that offers an alternative to classical regression models for count data as the Poisson and negative binomial model, as well…
stat.ME2020
Assessing the Calibration of Subdistribution Hazard Models in Discrete Time
Moritz Berger, Matthias Schmid
The generalization performance of a risk prediction model can be evaluated by its calibration, which measures the agreement between predicted and observed outcomes on external vali…