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). Approximate leave-future-out cross-validation for time series models. ArXiv preprint.
• Bürkner P. C. & Charpentier, E. (in review). Modeling Monotonic Effects of Ordinal Predictors in Regression Models. PsyArXiv preprint.
• Bürkner P. C., Gabry J., & Vehtari A. (in review). Leave-one-out cross-validation for non-factorizable normal models. ArXiv preprint.
• Bürkner P. C. (in review). thurstonianIRT: Thurstonian IRT Models in R. JOSS Preview.
• Vehtari A., Gelman A., Simpson D., Carpenter B., & Bürkner P. C. (in review). Rank-normalization, folding, and localization: An improved Rhat for assessing convergence of MCMC. ArXiv preprint.
• Paananen T., Piironen, J., Bürkner P. C., & Vehtari A. (in review). Pushing the Limits of Importance Sampling through Iterative Moment Matching. ArXiv preprint.
• Hossiep R., Harnack, K., & Bürkner P. C. (in review). Goal setting in distributive and integrative negotiations: a meta-analysis. PsyArXiv preprint.
• Busch, L., Utesch, T., Bürkner P. C., & Strauss, B. (in review). A Daily Diary of the Quantified Self – The Influence of Fitness App Usage on Psychological Well-Being, Body Listening and Body Trusting. PsyArXiv preprint.
• Williams D. R., Philippe R., & Bürkner P. C. (in review). Bayesian Meta-Analysis with Weakly Informative Prior Distributions. PsyArXiv preprint.
• Williams D. R. & Bürkner P. C. (in review). Coding errors lead to unsupported conclusions: A critique of Hofmann et al. (2015). PsyArXiv preprint. Retraction Watch

in press

• Zetsche, U., Bürkner P. C., & Renneberg, B. (in press). Future expectations in clinical depression: biased or realistic?. Journal of Abnormal Psychology.

2019

• Bürkner P. C. & Vuorre, M. (2019). Ordinal Regression Models in Psychology: A Tutorial. Advances in Methods and Practices in Psychological Science. doi:10.1177/2515245918823199 preprint
• Bürkner P. C., Schulte N., & Holling H. (2019). On the Statistical and Practical Limitations of Thurstonian IRT Models. Educational and Psychological Measurement. doi:10.1177/0013164419832063 preprint
• 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. doi:10.1044/2018_JSLHR-S-18-0006 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

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., Meutha 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