Description Usage Format References
Lee, Nelder, and Pawitan (2016) considered the Vascular Cognitive Impairment (VCI) data. As the elderly population increases, the proportion of stroke, one of main geriatric diseases also rises. The increase of the number of patients with stroke results in the rise of that of patients with the VCI which cognitive function is declined due to stroke. Through an early intervention for the VCI, the cognitive function can be improved. They considered standardized VCI scores for four domains (response variables): executive (y1), memory (y2), visuospatial (y3) and language (y4). The purpose of the study is to examine the effects of ten demographic and ten acute neuroimaging variables on the cognitive function in the ischemic stroke patients.
1 | data("cog")
|
A data frame with 1139 observations on the following 26 variables.
x1
integer of age/10
x2
=1 (male), =0 (female)
x3
=0 (none), =1 (elementary) , =2 (middle), =3 (high), =4 (over college)
x4
=1 (hypertension), =0 (none)
x5
=1 (diabetes mellitus), =0 (none)
x6
=1 (atrial brillation), =0 (none)
x7
=1 (history of stroke), =0 (none)
x8
national institute of health stroke scale score at admission
x9
time interval from stroke onset to rst K-VCIHS-NP
x10
=1 (IQCODE>=3.6), =0 (otherwise)
x11
left or bilateral involvement
x12
lesion multiplicity in acute DWI imaging
x13
cortical involvement of acute lesions
x14
cortical involvement of chronic territorial infarction
x15
Periventricular white matter lesions (PVWM); =0 (PVWN 0, 1), =1 (PVWN 2, 3)
x16
Subcortical white matter lesions (SCWM); = 0 (SCWM 0, 1), = 1 (SCWM 2, 3)
x17
presence of lacunes
x18
presence of cerebral microbleeds
x19
Medial temporal lobe atrophy (MTA); = 1 (MTA 2), = 0 (not 2)
x20
= 1 (MTA 3, 4), = 0 (not 3, 4)
y1
executive
y2
memory
y3
visuospatial
y4
language
id
patients identifier
Lee, Y., Nelder, J.A. and Pawitan, Y. (2016). Generalized Linear Models with Random Effects (2nd Edition). Chapman and Hall, Boca Raton, 2nd edition.
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