In Review
- Bürkner P. C., Scholz M., & Radev S. T. (in review). Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy. ArXiv preprint.
- Bürkner P. C., Kröker I., Oladyshkin S., & Nowak W. (in review). A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms. ArXiv preprint.
- Radev S. T., Schmitt M., Pratz V., Picchini U., Köthe U., & Bürkner P. C. (in review). JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. ArXiv preprint.
- Aguilar J. E. & Bürkner P. C. (in review). Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2 prior. ArXiv preprint.
- 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.
- Schmitt, M., Bürkner P. C., Köthe U., & Radev S. T. (in review). Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. ArXiv preprint.
- Modrák M., Moon A. H., Kim S., Bürkner P. C., Huurre N., Faltejsková K., Gelman A., & Vehtari A. (in review). Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity. 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.
- Elsemüller L., Schnuerch M., Bürkner P. C., & Radev S. T. (in review). A Deep Learning Method for Comparing Bayesian Hierarchical Models. ArXiv preprint.
- Schumacher L., Bürkner P. C., Voss A., Köthe U., Radev S. T. (in review). Neural Superstatistics: A Bayesian Method for Estimating Dynamic Models of Cognition. ArXiv preprint.
- Perini L., Bürkner P. C., & Klami A. (in review). Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection. 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.
- 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.
- 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.
- Bolzenkötter, T., Bürkner P. C., Zetsche, U., & Schulze, L. (in review). Assessing the short-term effects of detached mindfulness on repetitive negative thinking and affect: A randomized controlled trial in daily life. PsyArXiv preprint.
Accepted
- Schmitt, M., Radev, S. T., & Bürkner P. C. (accepted). Meta-Uncertainty in Bayesian Model Comparison. Artificial Intelligence and Statistics (AISTATS) Conference Proceedings.
- Zetsche, U., Bürkner P. C., Bohländer, J., Renneberg, B., Röpke, S., & Schulze, L. (accepted). Daily Emotion Regulation in Major Depression and Borderline Personality Disorder. Clinical Psychological Science.
- Zhang, J., Bürkner P. C., Kiesel A., & Dignath D. (accepted). How Emotional Stimuli Modulate Cognitive Control: A Meta-Analytic Review of Studies With Conflict Tasks. Psychological Bulletin.
2023
- 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. Available for free on ArXiv. doi:10.1007/s11222-022-10167-2
- 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. Available for free on PsyArXiv. doi:10.1111/bmsp.12299
- 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. Available for free on PsyArXiv. doi:10.1016/j.psyneuen.2022.105994
- 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. Available for free on PsyArXiv. doi:10.1016/j.brat.2023.104289
2022
- Bürkner P. C. (2022). On the information obtainable from comparative judgments. Psychometrika. Available for free on PsyArXiv. doi:10.1007/s11336-022-09843-z
- 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. Available for free on ArXiv. doi:10.1007/s11222-022-10090-6
- 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. Available for free also on ArXiv.
- Pavone, F., Piironen, J., Bürkner P. C., & Vehtari A. (2022). Using reference models in variable selection. Computational Statistics. Available for free on ArXiv. doi:10.1007/s00180-022-01231-6
- Schad D. J., Nicenboim B., Bürkner P. C., Betancourt M., & Vasishth S. (2022). Workflow Techniques for the Robust Use of Bayes Factors. Psychological Methods. Available for free on ArXiv. doi:10.1037/met0000472
- 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. Available for free on PsyArXiv. doi:10.1037/met0000454
- 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. Available for free on bioRxiv. doi:10.1016/j.neuroimage.2022.119149
- 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
- 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
- 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. Available for free on bioRxiv. doi:10.1111/1365-2745.14039
- 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. Available for free on PsyArXiv. doi:10.1016/j.psyneuen.2022.105819
- 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
- 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
- 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. Available for free on Research Square. doi:10.1088/1748-9326/ac8609
- 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.
- 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.
- 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
- Kołczyńska M. & Bürkner P. C. (2022). Political trust as a cause and consequence of democracy: Longitudinal analysis of European data. SocArXiv preprint.
2021
- Bürkner P. C. (2021). Bayesian Item Response Modelling in R with brms and Stan. Journal of Statistical Software. 100(5), 1–54. Available for free also on ArXiv. doi:10.18637/jss.v100.i05
- 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. Available for free also on ArXiv. doi:10.1214/20-BA1221
- 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. Available for free on ArXiv. doi:10.1109/TNNLS.2021.3124052
- Paananen T., Piironen, J., Bürkner P. C., & Vehtari A. (2021). Implicitly Adaptive Importance Sampling. Statistics and Computing. Available for free on ArXiv. doi:10.1007/s11222-020-09982-2
- Williams, D. R., Rodriguez, J. E., & Bürkner P. C. (2021). Putting Variation into Variance: Modeling Between-Study Heterogeneity in Meta-Analysis. PsyArXiv 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. Available for free on PsyArXiv. doi:10.1016/j.evolhumbehav.2021.05.002
- Kołczyńska M. & Bürkner P. C. (2021). Marketplace of indicators: Inconsistencies between country trends of measures of governance. Political Research Exchange. 3(1), 1–17. Available for free on SocArXiv. doi:10.1080/2474736X.2021.1989984
- 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. Available for free also on medRxiv. doi:10.1371/journal.pone.0245103
- 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. Available for free on PsyArXiv. doi:10.1016/j.brat.2021.103848
- 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. Available for free on PsyArXiv. doi:10.1007/s10608-020-10180-7
- 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. Available for free on PsyArXiv. doi:10.1525/collabra.22160
- 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. Available for free on PsyArXiv. doi:10.1177/1088767920976191
- 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. Available for free on PsyArXiv. doi:10.1186/s12888-021-03185-3
- 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. Available for free on OSF. doi:10.1111/lnc3.12439
- 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.
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. Available for free on ArXiv. doi:10.1080/00949655.2020.1783262
- 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. Available for free on ArXiv. doi:10.1007/s00180-020-01045-4
- Bürkner P. C. & Charpentier E. (2020). Modelling monotonic effects of ordinal predictors in Bayesian regression models. British Journal of Mathematical and Statistical Psychology. Available for free on PsyArXiv. doi:10.1111/bmsp.12195
- Bürkner P. C. (2020). Analysing Standard Progressive Matrics (SPM-LS) with Bayesian Item Response Models. Journal of Intelligence. 8(1), 1–18. Available for free on PsyArXiv. doi:10.3390/jintelligence8010005
- 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. Available for free also on ArXiv.
- 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. Available for free also on ArXiv.
- 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. Available for free on PsyArXiv. doi:10.1177/0013164420934861
- Gelman A., Vehtari A., Simpson D., …, Bürkner P. C., & Modrák M. (2020). Bayesian Workflow. ArXiv preprint.
- Paananen T., Catalina A., Bürkner P. C., & Vehtari A. (2020). Group Heterogeneity Assessment for Multilevel Models. ArXiv 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. Available for free on PsyArXiv. doi:10.1002/eat.23280
- 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. Available for free on PsyArXiv. doi:10.1123/jsep.2019-0315
- Williams D. R. & Bürkner P. C. (2020). Coding errors lead to unsupported conclusions: A critique of Hofmann et al. (2015). Meta-Psychology. Retraction Watch
- Hossiep R., Harnack, K., & Bürkner P. C. (2020). Goal setting in distributive and integrative negotiations: a meta-analysis. PsyArXiv 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. Available for free on PsyArXiv. doi:10.1177/0013164419832063
- 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. Available for free on PsyArXiv. doi:10.1177/2515245918823199
- 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. Available for free on bioRxiv. doi:10.1002/hbm.24686
- 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. Available for free on PsyArXiv. doi:10.1044/2018_JSLHR-S-18-0006
- Zetsche, U., Bürkner P. C., & Renneberg, B. (2019). Future expectations in clinical depression: biased or realistic?. Journal of Abnormal Psychology. 128(7), 678–688. Available for free on PsyArXiv. doi:10.1037/abn0000452
- 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. Available for free on PsyArXiv. doi:10.1525/collabra.197
- 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. Available for free on PsyArXiv. doi:10.3389/fpsyg.2019.00985
- Schuler, B. A., Binnewies, C., & Bürkner P. C. (2019). The Relationship Between Job Crafting, Work Engagement, and Performance: A Meta-Analysis. PsyArXiv 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. Available for free on ArXiv. doi:10.1111/bmsp.12148
- 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. Available for free on PsyArXiv. doi:10.1016/j.cpr.2018.06.001
- 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. 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
- 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. 10(1), 1–27, doi:10.3390/rs10010039
- 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
- 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
- Williams D. R., Rast P., & 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.
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