preprints

• Bürkner P. C. (in review). On the information obtainable from comparative judgments. PsyArXiv preprint.
• Gelman A., Vehtari A., Simpson D., …, Bürkner P. C., & Modrák M. (in review). Bayesian Workflow. ArXiv preprint.
• Mikkola P., Martin O., Chandramouli S., …, Bürkner P. C., & Klami A. (in review). Prior knowledge elicitation: The past, present, and future. 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.
• Catalina A., Bürkner P. C., & Vehtari A. (in review). Projection Predictive Inference for Generalized Linear and Additive Multilevel Models. ArXiv preprint.
• Catalina A., Bürkner P. C., & Vehtari A. (in review). Latent space projection predictive inference. ArXiv preprint.
• Kallioinen N., Paananen T., Bürkner P. C., & Vehtari A. (in review). Detecting and diagnosing prior and likelihood sensitivity with power-scaling. ArXiv preprint.
• Säilynoja, T., Bürkner P. C., & Vehtari A. (in review). Graphical Test for Discrete Uniformity and its Applications in Goodness of Fit Evaluation and Multiple Sample Comparison. ArXiv preprint.
• Pavone, F., Piironen, J., Bürkner P. C., & Vehtari A. (in review). Using reference models in variable selection. ArXiv preprint.
• Williams, D. R., Rodriguez, J. E., & Bürkner P. C. (in review). Putting Variation into Variance: Modeling Between-Study Heterogeneity in Meta-Analysis. PsyArXiv preprint.
• Rodriguez, J. E., Williams, D. R., & Bürkner P. C. (in review). Heterogeneous Heterogeneity by Default: Testing Categorical Moderators in Random-effects Meta-Analysis. PsyArXiv preprint.
• Schulte, N., Kaup, L., Bürkner, P. C., & Holling, H. (in review). The Fakeability of Personality Measurement with Graded Paired Comparisons. PsyArXiv preprint.
• Kołczyńska M. & Bürkner P. C. (in review). Modeling public opinion over time: A simulation study of latent trend models. SocArXiv preprint.
• Kołczyńska M., Bürkner P. C., Kennedy L., & Vehtari A. (in review). Trust in state institutions in Europe, 1989-2019. SocArXiv preprint.
• Kołczyńska M. & Bürkner P. C. (in review). Political trust as a cause and consequence of democracy: Longitudinal analysis of European data. SocArXiv preprint.
• Zetsche, U., Bürkner P. C., Bohländer, J., Renneberg, B., Röpke, S., & Schulze, L. (in review). Daily affect regulation in borderline personality disorder and major depression. PsyArXiv preprint.
• Franke, L. K., Miedl, S. F., Danböck, S. K., Lohse, J., Liedlgruber, M., Bürkner P. C., Pletzer B., & Wilhelm, F. H. (in review). Estradiol during (analogue-) trauma: risk- or protective factor for intrusive re-experiencing?. PsyArXiv preprint.
• Nohr, L., Bürkner P. C., Ruiz, A. L., Ferrer, J. E. S., Capponi, D., & Buhlmann, U. (in review). Social and cultural determinants of help-seeking in Cuba and Germany – A structural equation model approach. PsyArXiv preprint.
• Jordon M., Willis K., Bürkner P. C., Haddaway N., Smith P., & Petrokofsky G. (in review). Temperate Regenerative Agriculture; a win-win for soil carbon and crop yield?. Research Square preprint.
• Malén T., Karjalainen T., Isojärvi J., Vehtari A., Bürkner P. C., …, & Nummenmaa L. (in review). Age and sex dependent variability of type 2 dopamine receptors in the human brain: A large-scale PET cohort. bioRxiv preprint.

accepted

• Schad D. J., Nicenboim B., Bürkner P. C., Betancourt M., & Vasishth S. (accepted). Workflow Techniques for the Robust Use of Bayes Factors. Psychological Methods.
• Heck, D., Boehm, U., Böing-Messing, F., Bürkner P. C., …, & Hoijtink, H. (accepted). A Review of Applications of the Bayes Factor in Psychological Research. Psychological Methods.

2021

• Bürkner P. C. (2021). Bayesian Item Response Modelling in R with brms and Stan. Journal of Statistical Software. 100(5), 1–54. https://doi.org/10.18637/jss.v100.i05 preprint
• Vehtari A., Gelman A., Simpson D., Carpenter B., & Bürkner P. C. (2021). Rank-normalization, folding, and localization: An improved Rhat for assessing convergence of MCMC (with discussion). Bayesian Analysis. 16(2), 667-–718. doi:10.1214/20-BA1221 preprint
• Radev S., D’Alessandro M., Mertens U. K., Voss A., Köthe U., & Bürkner P. C. (2021). Amortized Bayesian Model Comparison with Evidental Deep Learning. IEEE Transactions on Neural Networks and Learning Systems. doi:10.1109/TNNLS.2021.3124052 preprint
• Paananen T., Piironen, J., Bürkner P. C., & Vehtari A. (2021). Implicitly Adaptive Importance Sampling. Statistics and Computing. preprint
• Driebe, J. C., Sidari, M., Dufner, M., von der Heiden, J. M., Bürkner P. C., Penke, L., Zietsch B. P., & Arslan, R. C. (2021). Intelligence can be detected but is not found attractive in videos and live interactions. Evolution and Human Behavior. preprint
• Kołczyńska M. & Bürkner P. C. (2021). Marketplace of indicators: Inconsistencies between country trends of measures of governance. Political Research Exchange. 3(1), 1–17. preprint
• Modrák M., Bürkner P. C., Sieger T., …, Leos-Barajas V., Fiser K., & Hyanek T. (2021). Detailed disease progression of 213 patients hospitalized with Covid-19 in the Czech Republic: An exploratory analysis. PLOS ONE. doi:10.1371/journal.pone.0245103 preprint
• Franke, L. K., Rattel, J. A., Miedl, S. F., Danböck, S. K., Bürkner, P. C., & Wilhelm, F. H. (2021). Intrusive memories as conditioned responses to trauma cues: an empirically supported concept?. Behaviour Research and Therapy. preprint
• Dietel F., Möllmann A., Bürkner P. C., Wilhelm S., & Buhlmann U. (2021). Interpretation bias across body dysmorphic, social anxiety and generalized anxiety disorder – a multilevel, diffusion model account. Cognitive Therapy and Research. doi:10.1007/s10608-020-10180-7 preprint
• Stecker J., Bürkner P. C., Hellmann J., Nestler S., & Back M. (2021). First Impressions of Refugees are More Strongly Influenced by Target Cues and Perceiver Attitudes Than by Sheer Group Affiliation. Collabora: Psychology. preprint
• Reynolds J. & Bürkner P. C. (2021). Examining the Relationship Between Weapon Type and Relationship Type in American Homicides: A Bayesian Approach. Homicide Studies. 25(4), 295–312. doi:10.1177/1088767920976191 preprint
• Kuck, N., Cafitz, L., Bürkner, P. C., Nosthoff-Horstmann, L., Wilhelm, S., & Buhlmann, U. (2021). Body dysmorphic disorder and self-esteem: A meta-analysis. BMC Psychiatry. 21(1), 1–16. doi:10.1186/s12888-021-03185-3 preprint
• Hoppen L. M., Kuck N., Bürkner P. C., Karin E., Wootton B. M., & Buhlmann, U. (2021). Low intensity technology-delivered cognitive behavioral therapy for obsessive-compulsive disorder: A meta-analysis. BMC Psychiatry. 21(1), 1–17. doi:10.1186/s12888-021-03272-5
• Winter, B. & Bürkner P. C. (2021). Poisson regression for linguists: A tutorial introduction to modeling count data with brms. Language and Linguistics Compass. doi:10.1111/lnc3.12439 preprint

2020

• Bürkner P. C., Gabry J., & Vehtari A. (2020). Approximate leave-future-out cross-validation for Bayesian time series models. Journal of Statistical Computation and Simulation. 90(14), 2499–2523. doi:10.1080/00949655.2020.1783262 preprint
• Bürkner P. C., Gabry J., & Vehtari A. (2020). Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models. Computational Statistics. preprint
• Bürkner P. C. & Charpentier E. (2020). Modelling monotonic effects of ordinal predictors in Bayesian 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
• Hartmann M., Agiashvili G., Bürkner P. C., & Klami A. (2020). Flexible Prior Elicitation via the Prior Predictive Distribution. Uncertainty in Artificial Intelligence (UAI) Conference Proceedings. preprint
• Radev S., Wieschen E. M., Voss A., & Bürkner P. C. (2020). Amortized Bayesian Inference for Models of Cognition. International Conference on Cognitive Modelling (ICCM) Conference Proceedings. preprint
• Schulte N., Holling H., & Bürkner P. C. (2020). Can High-Dimensional Questionnaires Resolve the Ipsativity Issue of Forced-Choice Response Formats?. Educational and Psychological Measurement. doi:10.1177/0013164420934861 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
• Williams D. R. & Bürkner P. C. (2020). Coding errors lead to unsupported conclusions: A critique of Hofmann et al. (2015). Meta-Psychology. Retraction Watch

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). 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 Efficacy 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., …, 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., 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

• Paananen T., Catalina A., Bürkner P. C., & Vehtari A. (2020). Group Heterogeneity Assessment for Multilevel Models. ArXiv preprint.
• Hossiep R., Harnack, K., & Bürkner P. C. (2020). Goal setting in distributive and integrative negotiations: a meta-analysis. PsyArXiv preprint.
• 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.