TY  - JOUR
PY  - 2004//
TI  - Dealing with inter-individual differences in the temporal dynamics of fatigue and performance: importance and techniques
JO  - Aviation, space, and environmental medicine
A1  - Van Dongen, Hans P. A.
A1  - Maislin, G.
A1  - Dinges, David F.
SP  - A147
EP  - 54
VL  - 75
IS  - 3 Suppl
N2  - Inter-individual differences in performance impairment from sleep loss are substantial and consistent, as demonstrated and quantified here by means of the intraclass correlation coefficient (ICC) in two laboratory-based sleep deprivation studies. There is an urgent need, therefore, to consider inter-individual variability in biomathematical models of fatigue and performance, which currently treat individuals as being all the same. Traditional regression techniques do not handle inter-individual variability, but cutting-edge mixed-effects modeling techniques have recently become available to deal with inter-individual differences in the temporal dynamics of fatigue and performance. The standard two stage (STS), restricted maximum likelihood (REML), and non-linear mixed-effects modeling (NMEM) approaches to mixed-effects models are compared here using data from a chronic partial sleep deprivation experiment. Mixed-effects modeling can be incorporated in the two distinct steps (the direct and inverse problems) of biomathematical model development in order to deal with inter-individual differences. This paper demonstrates that inter-individual variability accounts for a large percentage of observed variance in neurobehavioral responses to sleep deprivation, and describes tools that model developers will need to produce a new generation of fatigue and performance models capable of incorporating inter-individual variability and useful for subject-specific prediction.<p />  <p>Language: en</p>
LA  - en
SN  - 0095-6562
UR  - http://dx.doi.org/
ID  - ref1
ER  -