Andreas Mayr
Andreas Mayr
Dept. of Medical Biometry, Informatics and Epidemiology, University of Bonn
Verified email at uni-bonn.de - Homepage
Title
Cited by
Cited by
Year
Does early improvement triggered by antidepressants predict response/remission?—Analysis of data from a naturalistic study on a large sample of inpatients with major depression
V Henkel, F Seemüller, M Obermeier, M Adli, M Bauer, C Mundt, P Brieger, ...
Journal of affective disorders 115 (3), 439-449, 2009
1912009
Model-based boosting in R: a hands-on tutorial using the R package mboost
B Hofner, A Mayr, N Robinzonov, M Schmid
Computational statistics 29 (1-2), 3-35, 2014
1822014
The evolution of boosting algorithms-from machine learning to statistical modelling
A Mayr, H Binder, O Gefeller, M Schmid
arXiv preprint arXiv:1403.1452, 2014
1702014
Generalized additive models for location, scale and shape for high dimensional data—a flexible approach based on boosting
A Mayr, N Fenske, B Hofner, T Kneib, M Schmid
Journal of the Royal Statistical Society: Series C (Applied Statistics) 61 …, 2012
1282012
Should the PANSS be rescaled?
M Obermeier, A Mayr, R Schennach-Wolff, F Seemüller, HJ Möller, ...
Schizophrenia bulletin 36 (3), 455-460, 2010
812010
Predictors of response and remission in the acute treatment of first-episode schizophrenia patients—Is it all about early response?
R Schennach-Wolff, M Jäger, A Mayr, S Meyer, KU Kühn, S Klingberg, ...
European Neuropsychopharmacology 21 (5), 370-378, 2011
652011
The importance of knowing when to stop
A Mayr, B Hofner, M Schmid
Methods of Information in Medicine 51 (02), 178-186, 2012
642012
Boosting the concordance index for survival data–a unified framework to derive and evaluate biomarker combinations
A Mayr, M Schmid
PloS one 9 (1), e84483, 2014
622014
An early improvement threshold to predict response and remission in first-episode schizophrenia
R Schennach-Wolff, FH Seemüller, A Mayr, W Maier, S Klingberg, ...
The British Journal of Psychiatry 196 (6), 460-466, 2010
582010
Homer-1 polymorphisms are associated with psychopathology and response to treatment in schizophrenic patients
I Spellmann, D Rujescu, R Musil, A Mayr, I Giegling, J Genius, P Zill, ...
Journal of Psychiatric Research 45 (2), 234-241, 2011
562011
INTERBED: internet-based guided self-help for overweight and obese patients with full or subsyndromal binge eating disorder. A multicenter randomized controlled trial
M de Zwaan, S Herpertz, S Zipfel, B Tuschen-Caffier, HC Friederich, ...
Trials 13 (1), 220, 2012
522012
Effect of internet-based guided self-help vs individual face-to-face treatment on full or Subsyndromal binge eating disorder in overweight or obese patients: the INTERBED …
M de Zwaan, S Herpertz, S Zipfel, J Svaldi, HC Friederich, F Schmidt, ...
JAMA psychiatry 74 (10), 987-995, 2017
482017
gamboostLSS: An R package for model building and variable selection in the GAMLSS framework
B Hofner, A Mayr, M Schmid
arXiv preprint arXiv:1407.1774, 2014
482014
Boosted beta regression
M Schmid, F Wickler, KO Maloney, R Mitchell, N Fenske, A Mayr
PloS one 8 (4), e61623, 2013
452013
Web-based data collection yielded an additional response bias—but had no direct effect on outcome scales
A Mayr, O Gefeller, HU Prokosch, A Pirkl, A Fröhlich, M de Zwaan
Journal of clinical epidemiology 65 (9), 970-977, 2012
442012
Approaches to regularized regression–a comparison between gradient boosting and the lasso
T Hepp, M Schmid, O Gefeller, E Waldmann, A Mayr
Methods of information in medicine 55 (05), 422-430, 2016
422016
Extending statistical boosting-an overview of recent methodological developments
A Mayr, H Binder, O Gefeller, M Schmid
arXiv preprint arXiv:1403.1692, 2014
402014
Pharmacist-led medication reviews to identify and collaboratively resolve drug-related problems in psychiatry–a controlled, clinical trial
C Wolf, A Pauly, A Mayr, T Grömer, B Lenz, J Kornhuber, K Friedland
PloS one 10 (11), e0142011, 2015
352015
Prediction intervals for future BMI values of individual children-a non-parametric approach by quantile boosting
A Mayr, T Hothorn, N Fenske
BMC Medical Research Methodology 12 (1), 6, 2012
352012
gamboostLSS: Boosting methods for GAMLSS models
B Hofner, A Mayr, N Fenske, M Schmid
URL https://r-forge. r-project. org/projects/gamboostlss. R package version …, 2012
352012
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