cog: Vascular Cognitive Impairment Data

In mdhglm: Multivariate Double Hierarchical Generalized Linear Models

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.

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

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.

mdhglm documentation built on May 2, 2019, 5:52 a.m.