preprints

• Bürkner P. C. (in review). Bayesian Item Response Modelling in R with brms and Stan. ArXiv preprint.
• Bürkner P. C., Gabry J., & Vehtari A. (in review). Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models. ArXiv preprint.
• Riutort-Mayol G., Bürkner P. C., Andersen M. R., Solin A., & Vehtari A. (in review). Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. ArXiv preprint.
• Paananen T., Piironen, J., Bürkner P. C., & Vehtari A. (in review). Implicitly Adaptive Importance Sampling. ArXiv preprint.
• Paananen T., Catalina A., Bürkner P. C., & Vehtari A. (in review). Group Heterogeneity Assessment for Multilevel Models. ArXiv preprint.
• Pavone, F., Piironen, J., Bürkner P. C., & Vehtari A. (in review). Using reference models in variable selection. ArXiv preprint.
• Radev S., D’Alessandro M., Bürkner P. C., Mertens U. K., Voss A., & Köthe U. (in review). Amortized Bayesian Model Comparison with Evidental Deep Learning. ArXiv preprint.
• Reynolds, J. & Bürkner P. C. (in review). Examining the Relationship Between Weapon Type and Relationship Type in American Homicides: A Bayesian Approach. PsyArXiv preprint.
• Stecker, J., Bürkner P. C., Hellmann, J., Nestler, S., & Back, M. (in review). Prejudice at First Sight? First Impressions of Refugees are More Strongly Influenced by Targets’ and Perceivers’ Individual Characteristics Than by Sheer Group Affiliation. PsyArXiv preprint.
• Dietel F., Möllmann A., Bürkner P. C., Wilhelm S., & Buhlmann U. (in review). Interpretation bias across body dysmorphic, social anxiety and generalized anxiety disorder – a multilevel, diffusion model account. PsyArXiv preprint.
• Hossiep R., Harnack, K., & Bürkner P. C. (in review). Goal setting in distributive and integrative negotiations: a meta-analysis. PsyArXiv preprint.

in press

• Hartmann M., Agiashvili G., Bürkner P. C., & Klami A. (in press). Flexible Prior Elicitation via the Prior Predictive Distribution. Uncertainty in Artificial Intelligence (UAI) Conference Proceedings.
• Schulte N., Holling H., & Bürkner P. C. (in press). Can High-Dimensional Questionnaires Resolve the Ipsativity Issue of Forced-Choice Response Formats?. Educational and Psychological Measurement.
• Radev S., Wieschen E. M., Voss A., & Bürkner P. C., (in press). Amortized Bayesian Inference for Models of Cognition. International Conference on Cognitive Modelling (ICCM) Conference Proceedings.
• Williams D. R. & Bürkner P. C. (in press). Coding errors lead to unsupported conclusions: A critique of Hofmann et al. (2015). Meta-Psychology. Retraction Watch

2020

• Bürkner P. C., Gabry J., & Vehtari A. (2020). Approximate leave-future-out cross-validation for time series models. Journal of Statistical Computation and Simulation. 1–25. doi:10.1080/00949655.2020.1783262 preprint
• Bürkner P. C. & Charpentier E. (2020). Modeling Monotonic Effects of Ordinal Predictors in Regression Models. British Journal of Mathematical and Statistical Psychology. doi:10.1111/bmsp.12195 preprint
• Bürkner P. C. (2020). Analysing Standard Progressive Matrics (SPM-LS) with Bayesian Item Response Models. Journal of Intelligence. 8(1), 1–18. doi:10.3390/jintelligence8010005 preprint
• Vehtari A., Gelman A., Simpson D., Carpenter B., & Bürkner P. C. (2020). Rank-normalization, folding, and localization: An improved Rhat for assessing convergence of MCMC. Bayesian Analysis. 1–28. dpi:10.1214/20-BA1221 preprint
• Trempler, I., Bürkner P. C., El-Sourani N., Binder E., Reker P., Fink G. R., & Schubotz R. (2020). Impaired context-sensitive adjustment of behaviour in Parkinson’s disease patients tested on and off medication: an fMRI study. NeuroImage. 212. 1–11. doi:10.1016/j.neuroimage.2020.116674
• Landmeyer N. C., Bürkner P. C., Wiendl H., Ruck T., Hartung H. P., Holling H., Meuth S. G., & Johnen A. (2020). Disease-modifying treatments and cognition in relapsing-remitting multiple sclerosis: A meta-analysis. Neurology. doi:10.1212/WNL.0000000000009522
• Dietel F., Zache C., Bürkner P. C., Schulte J., Möbius M., Bischof A., Wilhelm S., & Buhlmann U. (2020). Internet-based Interpretation Bias Modification for body dissatisfaction: A three-armed randomized controlled trial. International Journal of Eating Disorders. doi:10.1002/eat.23280 preprint.
• Deres T., Bürkner P. C., Klauke B., & Buhlmann U. (2020). The Role of Stigma during the Course of Inpatient Psychotherapeutic Treatment in a German Sample. Clinical Psychology and Psychotherapy. doi:10.1002/cpp.2423
• Busch, L., Utesch, T., Bürkner P. C., & Strauss, B. (2020). A Daily Diary of the Quantified Self – The Influence of Fitness App Usage on Psychological Well-Being, Body Listening and Body Trusting. Journal of Sport & Exercise Psychology. doi:10.1123/jsep.2019-0315 preprint

2019

• Bürkner P. C., Schulte N., & Holling H. (2019). On the Statistical and Practical Limitations of Thurstonian IRT Models. Educational and Psychological Measurement. 79(5), 827–854. doi:10.1177/0013164419832063 preprint
• Bürkner P. C. & Vuorre, M. (2019). Ordinal Regression Models in Psychology: A Tutorial. Advances in Methods and Practices in Psychological Science. 2(1), 77–101. doi:10.1177/2515245918823199 preprint
• Bürkner P. C. (2019). thurstonianIRT: Thurstonian IRT Models in R. Journal of Open Source Software. 1–2. doi:10.21105/joss.01662
• Chen G., Bürkner P. C., Taylor P. A., Li Z., Yin L., Glen D. R., Kinnison J. K., Cox R. W., & Pessoa L. (2019). One Model to Rule Them All: An Integrative Approach to Matrix-Based Analyses in Neuroimaging Connectomics. Human Brain Mapping. 1–19. doi:10.1002/hbm.24686 preprint
• Nalborczyk, L., Batailler, C., Loevenbruck H., Vilain, A., & Bürkner P. C. (2019). An Introduction to Bayesian Multilevel Models Using brms: A Case Study of Gender Effects on Vowel Variability in Standard Indonesian. Journal of Speech, Language, and Hearing Research. 62(5), 1225–1242. doi:10.1044/2018_JSLHR-S-18-0006 preprint
• Zetsche, U., Bürkner P. C., & Renneberg, B. (2019). Future expectations in clinical depression: biased or realistic?. Journal of Abnormal Psychology. 128(7), 678–688. doi:10.1037/abn0000452 preprint
• Nalborczyk, L., Bürkner P. C., & Williams D. (2019). Pragmatism should not be a substitute for statistical literacy, a commentary on Albers, Kiers, and van Ravenzwaaij (2018). Collabora: Psychology. 5(1), 1–5. doi:10.1525/collabra.197 preprint
• Beisemann M., Forthmann B., Bürkner P. C., & Holling H. (2019). Psychometric Evaluation of an Alternate Scoring for the Remote Associates Test. The Journal of Creative Behavior. 1–16. doi:10.1002/jocb.394
• Forthmann, B., Bürkner P. C., Benedek, M., Szardenings, C., & Holling, H. (2019). A New Perspective on the Multidimensionality of Divergent Thinking Tasks. Frontiers in Psychology: Cognition. 10, 1–9. doi:10.3389/fpsyg.2019.00985 preprint

2018

• Bürkner P. C., Schwabe S., & Holling H. (2018). Optimal Designs for the Generalized Partial Credit Model. British Journal of Mathematical and Statistical Psychology. 1–23. doi:10.1111/bmsp.12148 preprint
• Bürkner P. C. (2018). Advanced Bayesian Multilevel Modeling with the R Package brms. The R Journal. 10(1), 395–411. doi:10.32614/RJ-2018-017
• Johnen A., Bürkner P. C., Landmeyer N. C., …, & Salmen A. (2018). Can we predict cognitive decline after initial diagnosis of multiple sclerosis? – Results from the German National early MS cohort (KKNMS). Journal of Neurology. 1–12. doi:10.1007/s00415-018-9142-y
• Quante L., Kluger S., Bürkner P. C., Ekman M., & Schubotz R. (2018). Graph measures in task-based fMRI: functional integration during read-out of visual and auditory information. PLOS ONE. 13(11), 1–18. doi:10.1371/journal.pone.0207119
• Zetsche U., Bürkner P. C., & Schulze L. (2018). Shedding light on the association between repetitive negative thinking and deficits in cognitive control – a meta-analysis. Clinical Psychology Review. 36, 56–65. doi:10.1016/j.cpr.2018.06.001 preprint
• Rathgeber M., Bürkner P. C., Schiller E. M., & Holling H. (2018). The Efficiacy of Emotionally Focused Therapy and Behavioral Couples Therapy: A Meta-Analysis. Journal of Marital and Family Therapy. 1–17. doi:10.1111/jmft.12336
• Schneider I., Kugel H., Redlich R., Grotegerd D., Bürger C., Bürkner P. C., Opel N., Dohm K., Zaremba D., Meinert S., Schröder N., Straßburg A. M., Schwarte K., Schettler C., Ambrée O., Rust S., Domschke K., Arolt V., Heindel W., Baune B., Zhang W., Dannlowski U., & Hohoff C. (2018). Association of serotonin transporter gene AluJb methylation with major depression, amygdala responsiveness, 5-HTTLPR/rs25531 polymorphism, and stress. Neuropsychopharmacology. 1–9. doi:10.1038/npp.2017.273
• Reinhold M., Bürkner P. C., Holling H. (2018). Effects of Expressive Writing on Depressive Symptoms – A Meta-Analysis. Clinical Psychology: Science and Practice. 25(1), 1–13. doi:10.1111/cpsp.12224
• Zhoua T., Popescu S. C., Lawing A. M., Eriksson M., Strambu B., Bürkner P. C. (2018). Bayesian and classical machine learning methods: A comparison for tree species classification with LiDAR waveform signatures. Remote Sensing. 10(1), 1–27, doi:10.3390/rs10010039
• Arslan R. C., Willführ K. P., Frans E. M., Verweij K. J. H., Bürkner P. C., Myrskylä M., Voland E., Almqvist C., Brendan P., Zietsch B. P., & Penke L. (2018). Relaxed selection and mutation accumulation are best studied empirically: Reply to a comment by Woodley et al. Proceedings of the Royal Society B. 285(1873). 1–3. doi:10.1098/rspb.2018.0092
• Bürkner, P. C. (2018). Synthesizing Evidence. In Diagnostic Meta-Analysis: A Useful Tool for Clinical Decision-Making (pp. 115-124). Springer.
• Doebler, P., Bürkner, P. C., & Rücker, G. (2018). Statistical Packages for Diagnostic Meta-Analysis and Their Application. In Diagnostic Meta-Analysis: A Useful Tool for Clinical Decision-Making (pp. 161-181). Springer.

2017

• Bürkner P. C. (2017). brms: An R Package for Bayesian Multilevel Models using Stan. Journal of Statistical Software. 80(1), 1-28. doi:10.18637/jss.v080.i01
• Bürkner P. C., Williams D. R., Simmons T. C., & Woolley J. D. (2017). Intranasal oxytocin may improve high-level social cognition in schizophrenia, but not social cognition or neurocognition in general: A multi-level Bayesian meta-analysis. Schizophrenia Bulletin. 43(6), 1291–1303. doi:10.1093/schbul/sbx053
• Bürkner P. C., Bittner N., Holling H., & Buhlmann U. (2017). D-Cycloserine Augmentation of Behavior Therapy for Anxiety and Obsessive-Compulsive Disorders: A Meta-Analysis. PLOS ONE. 12(3), 1–19. doi:10.1371/journal.pone.0173660
• Carlsson R., Schimmack U., Williams D. R., & Bürkner P. C. (2017). Bayes Factors From Pooled Data Are No Substitute for Bayesian Meta-Analysis: Commentary on Scheibehenne, Jamil, and Wagenmakers (2016). Psychological Science. 28(11), 1694–1697. doi:10.1177/0956797616684682
• Arslan R. C., Willführ K. P., Frans E. M., Verweij K. J. H., Bürkner P. C., Myrskylä M., Voland E., Almqvist C., Brendan P., Zietsch B. P., & Penke L. (2017). Older fathers’ children have lower evolutionary fitness across four centuries and in four populations. Proceedings of the Royal Society B. 284(1862), 1–9. doi:10.1098/rspb.2017.1562
• Johnen A., Landmeyer N. C., Bürkner P. C., Wiendl H., Meuth S. G., & Holling H. (2017). Distinct cognitive impairments in different disease courses of multiple sclerosis - A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews. 83, 568–578. doi:10.1016/j.neubiorev.2017.09.005
• Williams D. R., Carlsson R., & Bürkner P. C. (2017). Between-litter variation in developmental studies of hormones and behavior: inflated false positives and diminished power. Frontiers in Neuroendocrinology. 47, 154–166. doi:10.1016/j.yfrne.2017.08.003
• Williams D. R. & Bürkner P. C. (2017). Effects of intranasal oxytocin on symptoms of schizophrenia: A multivariate Bayesian meta-analysis. Psychoneuroendocrinology. 75, 141–151. doi:10.1016/j.psyneuen.2016.10.013
• Williams D. R. & Bürkner P. C. (2017). Data extraction and statistical errors: A quantitative critique of Gumley et al. (2014). British Journal of Clinical Psychology. 56(2), 208–211. doi:10.1111/bjc.12130

2016

• Bürkner P. C., Doebler P., & Holling H. (2016). Optimal design of the Wilcoxon-Mann-Whitney-test. Biometrical Journal. 59(1), 25–40. doi:10.1002/bimj.201600022
• Benda N., Bürkner P. C., Freise F., Holling H., & Schwabe R. (2016). Adaptive Designs for Quantal Dose-Response Experiments with False Answers. Journal of Statistical Theory and Practice. 11(3), 361–374. doi:10.1080/15598608.2016.1213209

2014

• Bürkner P. C. & Doebler P. (2014). Testing for Publication Bias in Diagnostic Meta-Analysis: A Simulation Study. Statistics in Medicine. 33(18), 3061–3077. doi:10.1002/sim.6177

unpublished

• Schuler, B. A., Binnewies, C., & Bürkner P. C. (2019). The Relationship Between Job Crafting, Work Engagement, and Performance: A Meta-Analysis. PsyArXiv preprint.
• Williams D. R., Philippe R., & Bürkner P. C. (2018). Bayesian Meta-Analysis with Weakly Informative Prior Distributions. PsyArXiv preprint.
• Fleischer C., Doebler P., Bürkner P. C. & Holling H. (2018). Adventure therapy effects on self-concept – A meta-analysis. PsyArXiv preprint.