442 citations · 443 across the 3 of their papers we have counts for
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On the Improvement of Predictive Modeling Using Bayesian Stacking and Posterior Predictive Checking
Mariana Nold, Florian Meinfelder, David Kaplan
Model uncertainty is pervasive in real world analysis situations and is an often-neglected issue in applied statistics. However, standard approaches to the research process do not…
On resampling methods for model assessment in penalized and unpenalized logistic regression
Angelika Geroldinger, Lara Lusa, Mariana Nold +1
Penalized logistic regression methods are frequently used to investigate the relationship between a binary outcome and a set of explanatory variables. The model performance can be…
Firth's logistic regression with rare events: accurate effect estimates AND predictions?
Rainer Puhr, Georg Heinze, Mariana Nold +2
Firth-type logistic regression has become a standard approach for the analysis of binary outcomes with small samples. Whereas it reduces the bias in maximum likelihood estimates of…