About me

Academic

Software

• Linde, M., van Ravenzwaaij, D., & Tendeiro, J. N. (2022). baymedr: Computation of Bayes factors for common biomedical designs. R package version 0.1.1-9000. https://github.com/maxlinde/baymedr
• Linde, M., & van Ravenzwaaij, D. (2021). baymedr web application. https://maxlinde.shinyapps.io/baymedr

Publications

Submitted

• Linde, M., Jochim, L., Tendeiro, J. N., & van Ravenzwaaij, D. (2023). Data-driven prior elicitation for Bayes factors in Cox regression for nine subfields in biomedicine Submitted for publication.
  Preprint Code
• Linde, M., Tendeiro, J. N., & van Ravenzwaaij, D. (2023). Bayes factors for two-group comparisons in Cox regression. Submitted for publication.
  Preprint Code
• Pittelkow, M.-M., Linde, M., de Vries, Y. A., Hemkens, L. G., Schmitt, A. M., Meijer, R. R., & van Ravenzwaaij, D. (2023). Strength of statistical evidence for the efficacy of cancer drugs: A Bayesian re-analysis of trials supporting FDA approval. Submitted for publication.
  Preprint Code

In press

• Linde, M., Pittelkow, M.-M., Schwarzbach, N. R., & van Ravenzwaaij, D. (in press). Reputation without practice? A dynamic computational model of the unintended consequences of open scientist reputations. Journal of Trial and Error
  Preprint Code
• Neumann, M., Niessen, A. S. M., Linde, M., Tendeiro, J. N., & Meijer, R. R. (in press). "Adding an egg" in algorithmic decision making: Improving stakeholder and user perceptions, and predictive validity by enhancing autonomy. European Journal of Work and Organizational Psychology
  Manuscript Preprint Code
• Linde, M., Tendeiro, J. N., Wagenmakers, E.-J., & van Ravenzwaaij, D. (in press). Practical implications of equating equivalence tests: Reply to Campbell and Gustafson (2022). Psychological Methods
  Preprint Code

2023

• Linde, M., & van Ravenzwaaij, D. (2023). baymedr: An R package and web application for the calculation of Bayes factors for superiority, equivalence, and non-inferiority designs. BMC: Medical Research Methodology, 23, 279.
  Manuscript Preprint
• Heck, D. W., Boehm, U. Böing-Messing, F., Bürkner, P. C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., Mulder, J., Palfi, B., Schönbrodt, F. D., Tendeiro, J. N., van den Bergh, D., van Lissa, C., van Ravenzwaaij, D., Vanpaemel, W., Wagenmakers, E.-J., Williams, D. R., Zondervan-Zwijnenburg, M., & Hoijtink, H. (2023). A review of applications of the Bayes factor in psychological research. Psychological Methods, 28(3), 558-579.
  Manuscript Preprint Code
• Linde, M., Tendeiro, J. N., Selker, R., Wagenmakers, E.-J., & van Ravenzwaaij, D. (2023). Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor. Psychological Methods, 28(3), 740-755.
  Manuscript Preprint Code
• Linde, M., & van Ravenzwaaij, D. (2023). Bayes factor model comparisons across parameter values for mixed models. Computational Brain & Behavior, 6, 14-27.
  Manuscript Preprint Code
• van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., Veríssimo, J., Bockting, F., Chandramouli, S., Dunn, J. C., Gronau, Q. F., Linde, M., McMullin, S. D., Navarro, D., Schnuerch, M., Yadav, H., & Aust, F. (2023). Bayes factors for mixed models: A discussion. Computational Brain & Behavior, 6, 140-158.
  Manuscript Preprint

2021

• Field, S. M.*, Hoek, J.*, de Vries, Y. A., Linde, M., Pittelkow, M.-M., Muradchanian, J., & van Ravenzwaaij, D. (2021). Rethinking Remdesivir for COVID-19: A Bayesian reanalysis of trial findings. PLOS ONE, 16(7), e0255093.
  Manuscript Preprint Code

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