preprints 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). The sparse polynomial chaos expansion: a fully Bayesian approach with joint priors on the coefficients and global selection of terms. ArXiv preprint.
• Aguilar J. E. & Bürkner P. C. (in review). Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2-D2-M2 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., Radev, S. T., & Bürkner P. C. (in review). Meta-Uncertainty in Bayesian Model Comparison. 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.
• 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.
• 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.
• Arslan, R. C., Blake, K., Botzet, L., Bürkner, P. C., DeBruine, L. M., Fiers, T., …, & Stern, J. (in review). Not within spitting distance: salivary immunoassays of estradiol have subpar validity for cycle phase. 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.
• Danböck, S. K., Franke, L. K., Miedl, S. F., Liedlgruber, M., Bürkner P. C., & Wilhelm, F. H. (in review). Aversive-Audiovisual and Painful-Electrical Stimulation Cause Peritraumatic Dissociation: A Functional Magnetic Resonance Imaging Study. 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.

accepted

• Riutort-Mayol G., Bürkner P. C., Andersen M. R., Solin A., & Vehtari A. (accepted). Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. Statistics and Computing.

2022

• Bürkner P. C. (2022). On the information obtainable from comparative judgments. Psychometrika. doi:10.1007/s11336-022-09843-z preprint
• 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 preprint
• 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. preprint
• 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 preprint
• 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 preprint
• 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 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 preprint
• 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.
• 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 preprint
• 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 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
• 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. doi:10.1088/1748-9326/ac8609 preprint
• 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

2021

• Bürkner P. C. (2021). Bayesian Item Response Modelling in R with brms and Stan. Journal of Statistical Software. 100(5), 1–54. doi: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. 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 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. 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. 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
• 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. 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
• 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. 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
• 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. 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
• 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
• 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

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 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. 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 preprint