2020
DOI: 10.1016/j.jpsychores.2020.110191
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Time series analysis of intensive longitudinal data in psychosomatic research: A methodological overview

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Cited by 52 publications
(42 citation statements)
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“…In the present study, the analytic sample comprises participants from this RCT who consistently wore the activity monitor for at least 100 days and nights (~ 3 months) with less than 5% of missing observations for both behaviors (data collection occurred in the first months of the RCT). This cut-off ensures sufficient statistical power at the individual level to test the person-specific associations (i.e., build a statistical model for each participant separately; Ariens et al, 2020 ).…”
Section: Methodsmentioning
confidence: 99%
“…In the present study, the analytic sample comprises participants from this RCT who consistently wore the activity monitor for at least 100 days and nights (~ 3 months) with less than 5% of missing observations for both behaviors (data collection occurred in the first months of the RCT). This cut-off ensures sufficient statistical power at the individual level to test the person-specific associations (i.e., build a statistical model for each participant separately; Ariens et al, 2020 ).…”
Section: Methodsmentioning
confidence: 99%
“…We will provide a systematic review of studies in which within-person relationships between pain and affect have been examined using daily diary or ecological momentary assessment (EMA) approaches that allow for sufficient intensive longitudinal data (ILD) to examine within-person relationships over time [23]. Extant reviews of the literature suggest that gathering ILD from patients with chronic pain is highly feasible [24,25].…”
Section: Pain and Affectmentioning
confidence: 99%
“…In the present study, the analytic sample comprises participants from this RCT who had consistently worn the activity monitor for at least 100 days and nights (~3 months) with less than 5% of missing observations for both behaviors. This cut-off ensures sufficient statistical power at the individual level to test the person-specific associations (i.e., build a statistical model for each participant separately; Ariens et al, 2020).…”
Section: Participantsmentioning
confidence: 99%