oasis: Longitudinal MRI data in nondemented and demented older...
In rsmatch: Matching Methods for Time-Varying Observational Studies
oasis R Documentation
Longitudinal MRI data in nondemented and demented older adults.
Description
A dataset containing baseline and time-varying information relating to
Alzheimer's disease (AD) based on the Open Access Series of Imaging Studies (OASIS). This set consists of a
longitudinal collection of 51 subjects aged 62 to 92. Each subject was
scanned on two or more visits, separated by at least one year for a total of
115 imaging sessions. For each subject, 3 or 4 individual T1-weighted MRI
scans obtained in single scan sessions are included.
Usage
oasis
Format
A data frame with 115 rows and 11 variables:
- subject_id
unique subject identifier
- visit
visit order
- time_of_ad
visit in which a patient first had AD diagnosis
- m_f
male or female
- educ
years of education
- ses
socioeconomic status (-1 for missing)
- age
age of patient at visit
- mr_delay
MR delay time (contrast)
- e_tiv
estimated total intracranial volume
- n_wbv
normalized whole brain volume
- asf
atlas scaling factor
Details
The data was originally hosted in this Kaggle repository:
https://www.kaggle.com/jboysen/mri-and-alzheimers?select=oasis_longitudinal.csv.
It has been harmonized for an example analysis for risk set matching based on
a reduced sample including patients who go from mild cognitive impairment
(MCI) to AD and those patients with MCI throughout.
Source
https://www.kaggle.com/jboysen/mri-and-alzheimers?select=oasis_longitudinal.csv
rsmatch documentation built on May 29, 2024, 9:59 a.m.
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| oasis | R Documentation |
Longitudinal MRI data in nondemented and demented older adults.
Description
A dataset containing baseline and time-varying information relating to Alzheimer's disease (AD) based on the Open Access Series of Imaging Studies (OASIS). This set consists of a longitudinal collection of 51 subjects aged 62 to 92. Each subject was scanned on two or more visits, separated by at least one year for a total of 115 imaging sessions. For each subject, 3 or 4 individual T1-weighted MRI scans obtained in single scan sessions are included.
Usage
oasis
Format
A data frame with 115 rows and 11 variables:
- subject_id
unique subject identifier
- visit
visit order
- time_of_ad
visit in which a patient first had AD diagnosis
- m_f
male or female
- educ
years of education
- ses
socioeconomic status (-1 for missing)
- age
age of patient at visit
- mr_delay
MR delay time (contrast)
- e_tiv
estimated total intracranial volume
- n_wbv
normalized whole brain volume
- asf
atlas scaling factor
Details
The data was originally hosted in this Kaggle repository: https://www.kaggle.com/jboysen/mri-and-alzheimers?select=oasis_longitudinal.csv. It has been harmonized for an example analysis for risk set matching based on a reduced sample including patients who go from mild cognitive impairment (MCI) to AD and those patients with MCI throughout.
Source
https://www.kaggle.com/jboysen/mri-and-alzheimers?select=oasis_longitudinal.csv
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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