Scientific Publications

In Review

  • Bockting F., Radev S. T., & Bürkner P. C. (in review). Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models. ArXiv preprint. Preprint Website Code & Data

  • Fazio L. & Bürkner P. C. (in review). Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity. ArXiv preprint. Preprint Code & Data

  • Schmitt M., Radev S. T., & Bürkner P. C. (in review). Fuse It or Lose It: Deep Fusion for Multimodal Simulation-Based Inference. ArXiv preprint. Preprint

  • Schmitt M., Pratz V., Köthe U., Bürkner P. C., & Radev S. T. (in review). Consistency Models for Scalable and Fast Simulation-Based Inference. ArXiv preprint. Preprint

  • Schmitt M., Hikida Y., Radev S. T., Sadlo F., & Bürkner P. C. (in review). The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas. ArXiv preprint. Preprint Software Tutorial

  • Aguilar J. E. & Bürkner P. C. (in review). Generalized Decomposition Priors on R2. ArXiv preprint. Preprint Code & Data

  • Reiser P., Aguilar J. E., Guthke A., & Bürkner P. C. (in review). Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. ArXiv preprint. Preprint Code & Data

  • Mukherjee S., Claassen M., Bürkner P. C. (in review). DGP-LVM: Derivative Gaussian process latent variable model. ArXiv preprint. Preprint Code & Data

  • Scholz M. & Bürkner P. C. (in review). Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models. ArXiv preprint. Preprint Code & Data Software

  • Scholz M. & Bürkner P. C. (in review). Posterior accuracy and calibration under misspecification in Bayesian generalized linear models. ArXiv preprint. Preprint Code & Data Software

  • Catalina A., Bürkner P. C., & Vehtari A. (in review). Latent space projection predictive inference. ArXiv preprint. Preprint Software

  • Elsemüller L., Olischläger H., Schmitt M., Bürkner P. C., Köthe U., & Radev S. T. (in review). Sensitivity-Aware Amortized Bayesian Inference. ArXiv preprint. Preprint

  • Shi L., Bürkner P. C., & Bulling A. (in review). ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos. ArXiv preprint. Preprint

  • Dubova, M., Chandramouli, S., Gigerenzer, G., …, Wagenmarkers E. J., Bürkner P. C., & Sloman, S. (in review). Is Occam’s razor losing its edge? New perspectives on the principle of model parsimony. MetaArXiv Preprint. Preprint

  • Lingel H., Bürkner P. C., Melchers K. G., & Schulte N. (in review). Measuring Personality When Stakes Are High: Are Graded Paired Comparisons a More Reliable Alternative to Traditional Forced-Choice Methods? PsyArXiv preprint. Preprint Code & Data Data

  • Bagaïni A., Liu Y., Kapoor M., Son G., Bürkner P. C., Tisdall L., & Mata R. (in review). Comparing the Temporal Stability and Convergent Validity of Risk Preference Measures: A Meta-Analytic Approach. PsyArXiv preprint. Preprint Code & Data

Accepted

  • Schmitt M., Ivanova D. R., Habermann D., Köthe U., Bürkner P. C., & Radev S. T. (accepted). Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference. Proceedings of the International Conference on Machine Learning (ICML). Preprint

  • Thillaikumar R., Mundry R., Atmoko S. S. U., Bürkner P. C., van Noordwijk M. A., Schuppli C. (accepted). Maternal behavior in Sumatran orangutans (Pongo abelii) is modulated by mother-offspring characteristics and socioecological factors. International Journal of Primatology. Preprint Code & Data

2024

  • Kallioinen N., Paananen T., Bürkner P. C., & Vehtari A. (2024). Detecting and diagnosing prior and likelihood sensitivity with power-scaling. Statistics and Computing. doi:10.1007/s11222-023-10366-5 PDF Journal Preprint Code & Data Software

  • Elsemüller L., Schnuerch M., Bürkner P. C., & Radev S. T. (2024). A Deep Learning Method for Comparing Bayesian Hierarchical Models. Psychological Methods. doi:10.1037/met0000645 PDF Journal Preprint Code & Data

  • Huber F., Bürkner P. C., Göddeke D., & Schulte M. (2024). Knowledge-based modeling of simulation behavior for Bayesian optimization. Computational Mechanics. doi:10.1007/s00466-023-02427-3 PDF Journal Code & Data

  • Raulo A., Bürkner P. C., Dale J., English H., Finerty G., Lamberth C., Firth J. A., Coulson T., & Knowles S. (2024). Social and environmental transmission spread different sets of gut microbes in wild mice. Nature Ecology & Evolution. doi:10.1038/s41559-024-02381-0 PDF Journal Preprint Code Data

  • Kołczyńska M., Bürkner P. C., Kennedy L., & Vehtari A. (2024). Trust in state institutions in Europe, 1989-2019. Survey Research Methods. doi:10.18148/srm/2024.v18i1.8119 PDF Journal Preprint Code & Data

  • Schmitt M., Ewendt F., Kluttig A., Mikolajczyk R., Kraus B., Waetjen W., Bürkner P. C., Stangl G., & Föller M. (2024). Smoking is associated with increased eryptosis, suicidal erythrocyte death, in a large population-based cohort. Scientific Reports. doi:10.1038/s41598-024-53258-y PDF Journal

  • Garcia-Argibay M., Bürkner P. C., Lichtenstein P., Zhang L., D’Onofrio B. M., Andell P., Chang Z., Cortese S., & Larsson H. (2024). Methylphenidate and Short-Term Cardiovascular Risk. JAMA Network Open. doi:10.1001/jamanetworkopen.2024.1349 PDF Journal

  • Schulte N., Kaup L., Bürkner P. C., & Holling H. (2024). The Fakeability of Personality Measurement with Graded Paired Comparisons. Journal of Business and Psychology. doi:10.1007/s10869-024-09931-0 PDF Journal Preprint Preregistration Code & Data

  • Zetsche U., Neumann P., Bürkner P. C., Renneberg B., Koster E. H. W., & Hoorelbeke K. (2024). Computerized Cognitive Training to Reduce Rumination in Major Depression: A Randomized Controlled Trial. Behaviour Research and Therapy. doi:10.1016/j.brat.2024.104521 PDF Journal Preprint Preregistration Code & Data

  • Bolzenkötter T., Bürkner P. C., Zetsche U., & Schulze L. (2024). Assessing the Immediate Effects of Detached Mindfulness on Repetitive Negative Thinking and Affect in Daily Life: A Randomized Controlled Trial. Mindfulness. doi:10.1007/s12671-024-02350-5 PDF Journal Preprint Code & Data

2023

  • Bürkner P. C., Scholz M., & Radev S. T. (2023). Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy. Statistics Surveys. doi:10.1214/23-SS145 PDF Journal Preprint

  • Bürkner P. C., Kröker I., Oladyshkin S., & Nowak W. (2023). A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms. Journal of Computational Physics. doi:10.1016/j.jcp.2023.112210 PDF Journal Preprint Code & Data Talk

  • Radev S. T., Schmitt M., Pratz V., Picchini U., Köthe U., & Bürkner P. C. (2023). JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. Uncertainty in Artificial Intelligence (UAI) Conference Proceedings. PDF Conference Preprint Code & Data Talk

  • Aguilar J. E. & Bürkner P. C. (2023). Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2 prior. Electronic Journal of Statistics. doi:10.1214/23-EJS2136 PDF Journal Preprint Code & Data Talk

  • Schmitt, M., Radev, S. T., & Bürkner P. C. (2023). Meta-Uncertainty in Bayesian Model Comparison. Artificial Intelligence and Statistics (AISTATS) Conference Proceedings. PDF Conference Preprint Code & Data Talk

  • Schmitt, M., Bürkner P. C., Köthe U., & Radev S. T. (2023). Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. Proceedings of the German Conference on Pattern Recognition (GCPR). doi:10.1007/978-3-031-54605-1_35 PDF Conference Preprint Code & Data Talk Poster

  • Schumacher L., Bürkner P. C., Voss A., Köthe U., & Radev S. T. (2023). Neural Superstatistics: A Bayesian Method for Estimating Dynamic Models of Cognition. Scientific Reports. doi:10.1038/s41598-023-40278-3 PDF Journal Preprint Code & Data

  • Modrák M., Moon A. H., Kim S., Bürkner P. C., Huurre N., Faltejsková K., Gelman A., & Vehtari A. (2023). Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity. Bayesian Analysis. doi:10.1214/23-BA1404 PDF Journal Preprint Code & Data

  • Perini L., Bürkner P. C., & Klami A. (2023). Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection. Proceedings of the International Conference on Machine Learning (ICML). PDF Conference Preprint Code & Data

  • Riutort-Mayol G., Bürkner P. C., Andersen M. R., Solin A., & Vehtari A. (2023). Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Statistics and Computing. doi:10.1007/s11222-022-10167-2 PDF Journal Preprint Code & Data

  • Mikkola P., Martin O., Chandramouli S., …, Bürkner P. C., & Klami A. (2023). Prior knowledge elicitation: The past, present, and future. Bayesian Analysis. doi:10.1214/23-BA1381 PDF Journal Preprint

  • Radev S. T., Schmitt M., Schumacher L., Elsemüller L., Pratz V., Schälte Y., Köthe U., & Bürkner P. C. (2023). BayesFlow: Amortized Bayesian Workflows With Neural Networks. Journal of Open Source Software. doi:10.21105/joss.05702 PDF Journal Preprint Software

  • Rodriguez, J. E., Williams, D. R., & Bürkner P. C. (2023). Heterogeneous Heterogeneity by Default: Testing Categorical Moderators in Random-effects Meta-Analysis. British Journal of Mathematical and Statistical Psychology. doi:10.1111/bmsp.12299 PDF Journal Preprint Code & Data

  • Kołczyńska M. & Bürkner P. C. (2023). Modeling public opinion over time: A simulation study of latent trend models. Journal of Survey Statistics and Methodology. doi:10.1093/jssam/smad024 PDF Journal Preprint Code & Data

  • Shi L., Bürkner P. C., & Bulling A. (2023). Inferring Human Intentions from Predicted Action Probabilities. ArXiv preprint. doi:10.48550/arXiv.2308.12194 PDF Preprint

  • Arslan, R. C., Blake, K., Botzet, L., Bürkner, P. C., DeBruine, L. M., Fiers, T., …, & Stern, J. (2023). Not within spitting distance: salivary immunoassays of estradiol have subpar validity for cycle phase. Psychoneuroendocrinology. doi:10.1016/j.psyneuen.2022.105994 PDF Journal Preprint Code & Data

  • Zetsche, U., Bürkner P. C., Bohländer, J., Renneberg, B., Röpke, S., & Schulze, L. (2023). Daily Emotion Regulation in Major Depression and Borderline Personality Disorder. Clinical Psychological Science. doi:10.1177/21677026231160709 PDF Journal Preprint Code & Data

  • Danböck, S. K., Franke, L. K., Miedl, S. F., Liedlgruber, M., Bürkner P. C., & Wilhelm, F. H. (2023). Experimental Manipulations and Multi-Domain Measures of Negative Affect and Pain Are Linked to Peritraumatic Dissociation. Behaviour Research and Therapy. doi:10.1016/j.brat.2023.104289 PDF Journal Preprint Code & Data

  • Zhang, J., Bürkner P. C., Kiesel A., & Dignath D. (2023). How Emotional Stimuli Modulate Cognitive Control: A Meta-Analytic Review of Studies With Conflict Tasks. Psychological Bulletin. doi:10.1037/bul0000389 PDF Journal Code & Data

  • Ewendt, F., Schmitt, M., Kluttig, A., Kühn, J., …, Bürkner P. C., Föller, M., & Stangl, G. I. (2023). Association between vitamin D status and eryptosis – results from the German National Cohort Study. Annals of Hematology. doi:10.1007/s00277-023-05239-w PDF Journal

2022

  • Bürkner P. C. (2022). On the information obtainable from comparative judgments. Psychometrika. doi:10.1007/s11336-022-09843-z PDF Journal Preprint Code & Data

  • Säilynoja, T., Bürkner P. C., & Vehtari A. (2022). Graphical Test for Discrete Uniformity and its Applications in Goodness of Fit Evaluation and Multiple Sample Comparison. Statistics and Computing. doi:10.1007/s11222-022-10090-6 PDF Journal Preprint Code & Data

  • Catalina A., Bürkner P. C., & Vehtari A. (2022). Projection Predictive Inference for Generalized Linear and Additive Multilevel Models. Artificial Intelligence and Statistics (AISTATS) Conference Proceedings. PDF Conference Preprint Software

  • Pavone, F., Piironen, J., Bürkner P. C., & Vehtari A. (2022). Using reference models in variable selection. Computational Statistics. doi:10.1007/s00180-022-01231-6 PDF Journal Preprint Code & Data

  • Schad D. J., Nicenboim B., Bürkner P. C., Betancourt M., & Vasishth S. (2022). Workflow Techniques for the Robust Use of Bayes Factors. Psychological Methods. doi:10.1037/met0000472 PDF Journal Preprint Code & Data

  • Heck, D., Boehm, U., Böing-Messing, F., Bürkner P. C., …, & Hoijtink, H. (2022). A Review of Applications of the Bayes Factor in Psychological Research. Psychological Methods. doi:10.1037/met0000454 PDF Journal Preprint

  • Malén T., Karjalainen T., Isojärvi J., Vehtari A., Bürkner P. C., …, & Nummenmaa L. (2022). Age and sex dependent variability of type 2 dopamine receptors in the human brain: A large-scale PET cohort. NeuroImage. doi:10.1016/j.neuroimage.2022.119149 PDF Journal Preprint Code & Data

  • Pluhackova K., Schittny V., Bürkner P. C., Siligan C., & Horner A. (2022). Multiple Pore Lining Residues modulate Water Permeability of GlpF. Protein Science. doi:10.1002/pro.4431 PDF Journal

  • George J. P., Bürkner P. C., Sanders T., Neumann M., Cammalleri C., Vogt J., & Lang M. (2022). Long-term forest monitoring unravels constant mortality rise in European forests. Plant Biology. doi:10.1111/plb.13469 PDF Journal Code & Data

  • Seaton F. M., Robinson D. A., Monteith D., Lebron I., Bürkner P. C., Tomlinson S., Emmett B. A., Smart S. M. (2022). Fifty years of reduction in sulphur deposition drives recovery in soil pH and plant communities. Journal of Ecology. doi:10.1111/1365-2745.14039 PDF Journal Preprint Code & Data

  • Franke, L. K., Miedl, S. F., Danböck, S. K., Lohse, J., Liedlgruber, M., Bürkner P. C., Pletzer B., & Wilhelm, F. H. (2022). Estradiol during (analogue-)trauma: risk- or protective factor for intrusive re-experiencing? Psychoneuroendocrinology. doi:10.1016/j.psyneuen.2022.105819 PDF Journal Preprint

  • Jordon M., Smith P., Long P., Bürkner P. C., Petrokofsky G. & Willis K. (2022). Can Regenerative Agriculture increase national soil carbon stocks? Simulated country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using RothC-26.3. Science of the Total Environment. doi:10.1016/j.scitotenv.2022.153955 PDF Journal Code & Data

  • Jordon M., Willis K., Bürkner P. C., & Petrokofsky G. (2022). Rotational grazing and multispecies herbal leys increase productivity in temperate pastoral systems – a meta-analysis. Agriculture, Ecosystems & Environment. doi:10.1016/j.agee.2022.108075 PDF Journal Code & Data

  • Jordon M., Willis K., Bürkner P. C., Haddaway N., Smith P., & Petrokofsky G. (2022). Temperate Regenerative Agriculture; a win-win for soil carbon and crop yield? Environmental Research Letters. doi:10.1088/1748-9326/ac8609 PDF Journal Preprint Code & Data

  • Nohe C., Hüffmeier J., Bürkner P. C., Mazei J., Sondern D., Runte A., Sieber F., & Hertel G. (2022). Unethical Choice in Negotiations: A Meta-Analysis on Gender Differences and Their Moderators. Organizational Behavior and Human Decision Processes. doi:10.1016/j.obhdp.2022.104189 PDF Journal Preregistration Code & Data

  • Morina N., Seidemann J., Andor T., Sondern L., Bürkner P. C., Drenckhan I., & Buhlmann U. (2022). The effectiveness of cognitive behavioral therapy for social anxiety disorder in routine clinical practice. Clinical Psychology & Psychotherapy. doi:10.1002/cpp.2799 PDF Journal

  • Teetzen, F., Bürkner P. C., Gregersen, S., & Vincent-Höper, S. (2022). The Mediating Effects of Work Characteristics on the Relationship between Transformational Leadership and Employee Well-Being: A Meta-Analytic Investigation. International Journal of Environmental Research and Public Health. doi:10.3390/ijerph19053133 PDF Journal

  • Kołczyńska M. & Bürkner P. C. (2022). Political trust as a cause and consequence of democracy: Longitudinal analysis of European data. SocArXiv preprint. doi:10.31235/osf.io/79dth PDF Preprint Code & Data

2021

  • Bürkner P. C. (2021). Bayesian Item Response Modelling in R with brms and Stan. Journal of Statistical Software. doi:10.18637/jss.v100.i05 PDF Journal Preprint Software

  • 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. doi:10.1214/20-BA1221 PDF Journal Preprint Code & Data

  • Radev S. T., 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 PDF Journal Preprint Software

  • Paananen T., Piironen, J., Bürkner P. C., & Vehtari A. (2021). Implicitly Adaptive Importance Sampling. Statistics and Computing. doi:10.1007/s11222-020-09982-2 PDF Journal Preprint Software

  • Williams, D. R., Rodriguez, J. E., & Bürkner P. C. (2021). Putting Variation into Variance: Modeling Between-Study Heterogeneity in Meta-Analysis. PsyArXiv preprint. doi:10.31234/osf.io/9vkqy PDF Preprint Code & Data

  • 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. doi:10.1016/j.evolhumbehav.2021.05.002 PDF Journal Preprint Preregistration Code & Data

  • Kołczyńska M. & Bürkner P. C. (2021). Marketplace of indicators: Inconsistencies between country trends of measures of governance. Political Research Exchange. doi:10.1080/2474736X.2021.1989984 PDF Journal Preprint Code & Data

  • 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 PDF Journal Preprint Code & Data

  • 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. doi:10.1016/j.brat.2021.103848 PDF Journal 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 PDF Journal Preprint Code & Data

  • 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. doi:10.1525/collabra.22160 PDF Journal Preprint Code & Data

  • Reynolds J. & Bürkner P. C. (2021). Examining the Relationship Between Weapon Type and Relationship Type in American Homicides: A Bayesian Approach. Homicide Studies. doi:10.1177/1088767920976191 PDF Journal Preprint Code & Data

  • 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. doi:10.1186/s12888-021-03185-3 PDF Journal Preprint Code & Data

  • 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. doi:10.1186/s12888-021-03272-5 PDF Journal Code & Data

  • 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 PDF Journal Preprint Code & Data

  • Nohr, L., Bürkner P. C., Ruiz, A. L., Ferrer, J. E. S., Capponi, D., & Buhlmann, U. (2021). Social and cultural determinants of help-seeking in Cuba and Germany – A structural equation model approach. PsyArXiv preprint. doi:10.31234/osf.io/5tqwv PDF 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. doi:10.1080/00949655.2020.1783262 PDF Journal Preprint Code & Data

  • 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. doi:10.1007/s00180-020-01045-4 PDF Journal Preprint Code & Data

  • 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 PDF Journal Preprint Code & Data

  • Bürkner P. C. (2020). Analysing Standard Progressive Matrics (SPM-LS) with Bayesian Item Response Models. Journal of Intelligence. doi:10.3390/jintelligence8010005 PDF Journal Preprint Code & Data

  • 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. PDF Conference Preprint

  • Radev S. T., Wieschen E. M., Voss A., & Bürkner P. C. (2020). Amortized Bayesian Inference for Models of Cognition. International Conference on Cognitive Modelling (ICCM) Conference Proceedings. PDF Conference 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 PDF Journal Preprint Code & Data

  • Gelman A., Vehtari A., Simpson D., …, Bürkner P. C., & Modrák M. (2020). Bayesian Workflow. ArXiv preprint. doi:10.48550/arXiv.2011.01808 PDF Preprint

  • Paananen T., Catalina A., Bürkner P. C., & Vehtari A. (2020). Group Heterogeneity Assessment for Multilevel Models. ArXiv preprint. doi:10.48550/arXiv.2005.02773 PDF Preprint Code & Data

  • 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. doi:10.1016/j.neuroimage.2020.116674 PDF Journal Code & Data

  • 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 PDF Journal Code & Data

  • 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 PDF Journal Preprint Code & Data

  • 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 PDF Journal Code & Data

  • Busch, L., Utesch, T., Bürkner P. C., & Strauss, B. (2020). The Influence of Fitness-App Usage on Psychological Well-Being and Body Awareness—A Daily Diary Randomized Trial. Journal of Sport & Exercise Psychology. doi:10.1123/jsep.2019-0315 PDF Journal Preprint Code & Data

  • Williams D. R. & Bürkner P. C. (2020). Coding errors lead to unsupported conclusions: A critique of Hofmann et al. (2015). Meta-Psychology. doi:10.15626/MP.2018.872 PDF Journal Report Code & Data

  • Hossiep R., Harnack, K., & Bürkner P. C. (2020). Goal setting in distributive and integrative negotiations: a meta-analysis. PsyArXiv preprint. doi:10.31234/osf.io/mkgxt PDF Preprint Code & Data

2019

  • 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 PDF Journal Preprint Code & Data

  • 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 PDF Journal Preprint Code & Data

  • Bürkner P. C. (2019). thurstonianIRT: Thurstonian IRT Models in R. Journal of Open Source Software. doi:10.21105/joss.01662 PDF Journal Software

  • 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. doi:10.1002/hbm.24686 PDF Journal 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 PDF Journal Preprint Code & Data

  • Zetsche, U., Bürkner P. C., & Renneberg, B. (2019). Future expectations in clinical depression: biased or realistic? Journal of Abnormal Psychology. doi:10.1037/abn0000452 PDF Journal Preprint Code & Data

  • 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. doi:10.1525/collabra.197 PDF Journal Preprint Code & Data

  • 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. PDF Journal

  • 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. doi:10.3389/fpsyg.2019.00985 PDF Journal Preprint Code & Data

  • Schuler, B. A., Binnewies, C., & Bürkner P. C. (2019). The Relationship Between Job Crafting, Work Engagement, and Performance: A Meta-Analysis. PsyArXiv preprint. doi:10.31234/osf.io/xpf2v PDF 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. doi:10.1111/bmsp.12148 PDF Journal Preprint

  • Bürkner P. C. (2018). Advanced Bayesian Multilevel Modeling with the R Package brms. The R Journal. doi:10.32614/RJ-2018-017 PDF Journal Preprint Software Code

  • 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. doi:10.1007/s00415-018-9142-y PDF Journal

  • 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. doi:10.1371/journal.pone.0207119 PDF Journal

  • 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. doi:10.1016/j.cpr.2018.06.001 PDF Journal Preprint Code & Data

  • 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. doi:10.1111/jmft.12336 PDF Journal

  • 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. doi:10.1038/npp.2017.273 PDF Journal

  • Reinhold M., Bürkner P. C., Holling H. (2018). Effects of Expressive Writing on Depressive Symptoms – A Meta-Analysis. Clinical Psychology: Science and Practice. doi:10.1111/cpsp.12224 PDF Journal

  • Zhou 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. doi:10.3390/rs10010039 PDF Journal

  • Schulze L., Bürkner P. C., Bohländer J., & Zetsche U. (2018). Cognitive control and daily affect regulation in major depression and borderline personality disorder: protocol for an experimental ambulatory assessment study in Berlin, Germany. BMJ Open. doi:10.1136/bmjopen-2018-022694 PDF Journal Code & Data

  • 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. doi:10.1098/rspb.2018.0092 PDF Journal

  • Williams D. R., Rast P., & Bürkner P. C. (2018). Bayesian Meta-Analysis with Weakly Informative Prior Distributions. PsyArXiv preprint. doi:10.31234/osf.io/7tbrm PDF Preprint Code & Data

  • Fleischer C., Doebler P., Bürkner P. C. & Holling H. (2018). Adventure therapy effects on self-concept – A meta-analysis. PsyArXiv preprint. doi:10.31234/osf.io/c7y9a PDF Preprint Code & Data

2017

  • Bürkner P. C. (2017). brms: An R Package for Bayesian Multilevel Models using Stan. Journal of Statistical Software. doi:10.18637/jss.v080.i01 PDF Journal Software

  • 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. doi:10.1093/schbul/sbx053 PDF Journal Code & Data

  • 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. doi:10.1371/journal.pone.0173660 PDF Journal Code & Data

  • 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. doi:10.1177/0956797616684682 PDF Journal Code & Data

  • 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. doi:10.1098/rspb.2017.1562 PDF Journal Code & Data

  • 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. doi:10.1016/j.neubiorev.2017.09.005 PDF Journal

  • 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. doi:10.1016/j.yfrne.2017.08.003 PDF Journal Code & Data

  • Williams D. R. & Bürkner P. C. (2017). Effects of intranasal oxytocin on symptoms of schizophrenia: A multivariate Bayesian meta-analysis. Psychoneuroendocrinology. doi:10.1016/j.psyneuen.2016.10.013 PDF Journal Code & Data

  • 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. doi:10.1111/bjc.12130 PDF Journal Code & Data

2016

  • Bürkner P. C., Doebler P., & Holling H. (2016). Optimal design of the Wilcoxon-Mann-Whitney-test. Biometrical Journal. doi:10.1002/bimj.201600022 PDF Journal Preprint

  • 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. doi:10.1080/15598608.2016.1213209 PDF Journal

2014

  • Bürkner P. C. & Doebler P. (2014). Testing for Publication Bias in Diagnostic Meta-Analysis: A Simulation Study. Statistics in Medicine. doi:10.1002/sim.6177 PDF Journal Preprint