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Diagnostic and Prognostic Research|May 1, 2023
Leave-one-out cross-validation, penalization, and differential bias of some prediction model performance measures-a simulation studyAngelika Geroldinger, Lara Lusa, Mariana Nold, et al.Statistics in Medicine|March 16, 2017
Firth's logistic regression with rare events: accurate effect estimates and predictions?Rainer Puhr, Georg Heinze, Mariana Nold, et al.Statistics in Medicine|September 7, 2006
A comparative investigation of methods for logistic regression with separated or nearly separated dataGeorg HeinzeComputer Methods and Programs in Biomedicine|May 22, 2003
Comparing the importance of prognostic factors in Cox and logistic regression using SASGeorg Heinze, Michael SchemperStatistics in Medicine|March 10, 2010
Bias-reduced and separation-proof conditional logistic regression with small or sparse data setsGeorg Heinze, Rainer PuhrEuropean Heart Journal|March 3, 2011
An overview of the objectives of and the approaches to propensity score analysesGeorg Heinze, Peter JüniComputer Methods and Programs in Biomedicine|February 21, 2002
SAS and SPLUS programs to perform Cox regression without convergence problemsGeorg Heinze, Meinhard PlonerLaboratory Animals|March 7, 2020
Experimental replications in animal trialsFlorian Frommlet, Georg HeinzeStatistics in Medicine|September 5, 2002
A solution to the problem of separation in logistic regressionGeorg Heinze, Michael SchemperComputer Methods and Programs in Biomedicine|May 22, 2003
Fixing the nonconvergence bug in logistic regression with SPLUS and SASGeorg Heinze, Meinhard PlonerPageof 28