| cog {mdhglm} | R Documentation |
Vascular Cognitive Impairment Data
Description
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.
Usage
data("cog")
Format
A data frame with 1139 observations on the following 26 variables.
x1integer 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)
x8national institute of health stroke scale score at admission
x9time interval from stroke onset to rst K-VCIHS-NP
x10=1 (IQCODE>=3.6), =0 (otherwise)
x11left or bilateral involvement
x12lesion multiplicity in acute DWI imaging
x13cortical involvement of acute lesions
x14cortical involvement of chronic territorial infarction
x15Periventricular white matter lesions (PVWM); =0 (PVWN 0, 1), =1 (PVWN 2, 3)
x16Subcortical white matter lesions (SCWM); = 0 (SCWM 0, 1), = 1 (SCWM 2, 3)
x17presence of lacunes
x18presence of cerebral microbleeds
x19Medial temporal lobe atrophy (MTA); = 1 (MTA 2), = 0 (not 2)
x20= 1 (MTA 3, 4), = 0 (not 3, 4)
y1executive
y2memory
y3visuospatial
y4language
idpatients identifier
References
Lee, Y., Nelder, J.A. and Pawitan, Y. (2016). Generalized Linear Models with Random Effects (2nd Edition). Chapman and Hall, Boca Raton, 2nd edition.