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Journal of Psychosomatic Research|August 3, 2020
Time series analysis of intensive longitudinal data in psychosomatic research: A methodological overviewSigert Ariens, Eva Ceulemans, Janne K Adolf
Multivariate Behavioral Research|August 2, 2022
Collinearity Issues in Autoregressive Models with Time-Varying Serially Dependent CovariatesSigert Ariens, Janne K Adolf, Eva Ceulemans
The British Journal of Mathematical and Statistical Psychology|March 4, 2026
Unravelling the small sample bias in AR(1) models: The pros and cons of available bias correction methodsZhiwei Dou, Sigert Ariens, Eva Ceulemans, et al.
Cognition & Emotion|November 5, 2024
Bouncing back from emotional ups and downs: insights in emotional recovery using survival analyses of burst ESM dataMarieke J Schreuder, Sigert Ariens, Ginette Lafit, et al.
Psychological Methods|June 5, 2025
Improved estimation of autoregressive models through contextual impulses and robust modelingJanne K Adolf, Eva Ceulemans
Psychological Methods|May 12, 2025
Episode-contingent experience-sampling designs for accurate estimates of autoregressive dynamicsJordan Revol, Sigert Ariens, Ginette Lafit, et al.
Psychological Assessment|October 23, 2025
Evaluating the feasibility of episode-contingent experience sampling burst designsYuanyuan Ji, Marieke J Schreuder, Sigert Ariens, et al.
Psychological Methods|June 24, 2021
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modelingJanne K Adolf, Tim Loossens, Francis Tuerlinckx, et al.
The British Journal of Mathematical and Statistical Psychology|February 26, 2026
Shedding some light on the relationship between measurement error and statistical power in multilevel models applied to intensive longitudinal designsGinette Lafit, Sigert Ariens, Richard Artner
The British Journal of Mathematical and Statistical Psychology|June 10, 2025
New developments in experience sampling methodologyFrancis Tuerlinckx, Peter Kuppens, Sigert Ariens, et al.
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