Comparison of random‐effects meta‐analysis models for the relative risk in the case of rare events: A simulation study M Beisemann, P Doebler, H Holling Biometrical Journal 62 (7), 1597-1630, 2020 | 17 | 2020 |
Psychometric evaluation of an alternate scoring for the remote associates test M Beisemann, B Forthmann, PC Bürkner, H Holling The Journal of creative behavior 54 (4), 751-766, 2020 | 14 | 2020 |
An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling T Hahn, J Ernsting, NR Winter, V Holstein, R Leenings, M Beisemann, ... Science advances 8 (1), eabg9471, 2022 | 12 | 2022 |
Effectiveness of internet-and mobile-based cognitive behavioral therapy to reduce suicidal ideation and behaviors: protocol for a systematic review and meta-analysis of … R Büscher, M Beisemann, P Doebler, L Steubl, M Domhardt, P Cuijpers, ... International journal of environmental research and public health 17 (14), 5179, 2020 | 10 | 2020 |
Digital cognitive–behavioural therapy to reduce suicidal ideation and behaviours: a systematic review and meta-analysis of individual participant data R Büscher, M Beisemann, P Doebler, HM Micklitz, A Kerkhof, P Cuijpers, ... BMJ Ment Health 25 (e1), e8-e17, 2022 | 9 | 2022 |
The Dark Triad is dead, long live the Dark Triad: An item-response theoretical examination of the Short Dark Tetrad C Blötner, M Beisemann Personality and Individual Differences 199, 111858, 2022 | 6 | 2022 |
Comparison of recent acceleration techniques for the EM algorithm in one-and two-parameter logistic IRT models M Beisemann, O Wartlick, P Doebler Psych 2 (4), 209-252, 2020 | 6 | 2020 |
Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder T Hahn, NR Winter, J Ernsting, M Gruber, MJ Mauritz, L Fisch, R Leenings, ... Molecular psychiatry 28 (3), 1057-1063, 2023 | 5 | 2023 |
A flexible approach to modelling over‐, under‐and equidispersed count data in IRT: The Two‐Parameter Conway–Maxwell–Poisson Model M Beisemann British Journal of Mathematical and Statistical Psychology 75 (3), 411-443, 2022 | 5 | 2022 |
Predicting brain-age from raw T 1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks L Fisch, J Ernsting, NR Winter, V Holstein, R Leenings, M Beisemann, ... arXiv preprint arXiv:2103.11695, 2021 | 5 | 2021 |
The Effects of Internet-Based Cognitive Behavioral Therapy for Suicidal Ideation or Behaviors on Depression, Anxiety, and Hopelessness in Individuals With Suicidal Ideation … LB Sander, M Beisemann, P Doebler, HM Micklitz, A Kerkhof, P Cuijpers, ... Journal of Medical Internet Research 25, e46771, 2023 | 1 | 2023 |
Effects of digital cognitive behavioral therapy for depression on suicidal thoughts and behavior: Protocol for a systematic review and meta-analysis of individual participant data LB Sander, M Beisemann, E Karyotaki, W van Ballegooijen, P Cuijpers, ... PLoS one 18 (6), e0285622, 2023 | | 2023 |
Dichotomizing Screening Measures of Latent Traits at New Cut-Off Values: A Model-Based Approach from Summary Statistics M Beisemann, L Sabel, A Mokros, P Doebler PsyArXiv, 2022 | | 2022 |
Effects of digital interventions for suicidal ideation on depression, hopelessness and anxiety: A systematic review and meta-analysis of individual participant data R Büscher, M Beisemann, P Doebler, L Steubl, M Domhardt, P Cuijpers, ... OSF, 2022 | | 2022 |
Understanding Ability and Reliability Differences Measured with Count Items: The Distributional Regression Test Model and the Count Latent Regression Model M Beisemann, B Forthmann, P Doebler PsyArXiv, 2022 | | 2022 |
Integrating the Accuracy and Time Dimension of Foresight BA Schuler, JP Murmann, M Beisemann Academy of Management Proceedings 2022 (1), 13788, 2022 | | 2022 |
A Note on Improving the Measurement of the Quality of Forecasts in Prediction Tournaments BA Schuler, JP Murmann, M Beisemann | | 2020 |