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Marie Beisemann
Marie Beisemann
PhD Student, Department of Statistics, TU Dortmund University
Verified email at tu-dortmund.de
Title
Cited by
Cited by
Year
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
212020
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
142022
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
142020
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
122022
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
102023
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
102020
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
82022
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
72022
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
72020
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
62021
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
52023
Every Trait Counts: Marginal Maximum Likelihood Estimation for Novel Multidimensional Count Data Item Response Models with Rotation or l1-Regularization for Simple Structure
M Beisemann, H Holling, P Doebler
OSF, 2024
12024
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
Multivariate Behavioral Research, 1-21, 2023
12023
A flexible approach to modelling over-, under-and equidispersed count data in IRT: The two-parameter Conway-Maxwell-Poisson model (vol 75, pg 411, 2022)
M Beisemann
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY 77 (1), 237-237, 2024
2024
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
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
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Articles 1–19