Multi-level/hierarchical modelling

A Bayesian joint model for a longitudinal and time-to-event outcome:

• Cremers, J., Mortensen, L.H. & Ekstrøm, C.T. (submitted). A Joint Model for Longitudinal and Time-to-Event Data in Life Course Research: Employment Status and Time to Retirement.

Application of a Bayesian PN mixed-effects model to drift timing of elephant seals:

• Beltran, R.S., Kendall-Bar, J.M., Pirotta, E. Adachi, T., Naito, Y., Takahashi, A., Cremers, J., Robinson, P.W., Crocker, D.E. & Costa, D.P. (2021). Lightscapes of fear: how mesopredators balance starvation and predation in the open ocean. Science Advances, 7(12) [Full-text]

Application of a Bayesian PN mixed-effects model to several repeated measures datasets from an interpersonal circumplex:

• Cremers, J., Pennings, H.J.M., Mainhard, M.T. & Klugkist, I. (2021) Circular Modelling of Circumplex Measurements for Interpersonal Behavior. Assessment, 28(2), 585-600. [Full-text]

Application of a Bayesian PN mixed-effects model to investigate the association between teacher-student interpersonal relations and instructional expertise:

• van der Lans, R.M, Cremers, J., Klugkist, I. & Zwart, R. (2020) How you say what you say: Teachers’ interpersonal relations and their instructional quality. Studies in Educational Evaluation, 66 [Full-text]

Application of a linear mixed-effects model to analyse approval of nudging interventions from several actors:

• Marchiori, D.R., Evers, C., Junghans, A.F., Cremers, J. & De Ridder, D.T.D. (2018). Citizen approval of nudging interventions promoting healthy eating: The role of intrusiveness and trustworthiness. BMC Public Health, 18:1182. [Full-text]