Abstract:
:The majority of research conducted on headache has utilized cross-sectional designs which preclude the examination of dynamic factors and principally rely on group-level effects. The present article describes the application of an individual-oriented process model using time-series analytical techniques. The blending of a time-series approach with an interactive process model allows consideration of the relationships of intra-individual dynamic processes, while not precluding the researcher to examine inter-individual differences. The authors explore the nature of time-series data and present two necessary assumptions underlying the time-series approach. The concept of shock and its contribution to headache activity is also presented. The time-series approach is not without its problems and two such problems are specifically reported: autocorrelation and the distribution of daily observations. The article concludes with the presentation of several analytical techniques suited to examine the time-series interactive process model.
journal_name
Headachejournal_title
Headacheauthors
Houle TT,Remble TA,Houle TAdoi
10.1111/j.1526-4610.2005.05095.xkeywords:
subject
Has Abstractpub_date
2005-05-01 00:00:00pages
438-44issue
5eissn
0017-8748issn
1526-4610pii
HED05095journal_volume
45pub_type
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