Enum: Allocation¶

How participants came to be in the arm they were in. Open vocabulary: write the source's own wording in the field when nothing here fits.

URI: neurostudy:Allocation

Permissible Values¶

Value	Meaning	Description
randomized	None	Participants were assigned to arms by a random or quasi-random procedure
non_randomized	None	Participants were assigned to arms by some deliberate non-random procedure, s...
single_arm	None	Every participant received the same thing, so there was nothing to allocate
not_applicable	None	Nothing was administered, so allocation does not apply

In Subsets¶

Identifier and Mapping Information¶

Schema Source¶

from schema: https://neurostuff.org/schemas/neuroimaging-study-storage

LinkML Source¶

name: Allocation
description: 'How participants came to be in the arm they were in. Open vocabulary:
  write the source''s own wording in the field when nothing here fits.'
in_subset:
- mvp
- model_extracted
from_schema: https://neurostuff.org/schemas/neuroimaging-study-storage
rank: 1000
permissible_values:
  randomized:
    text: randomized
    description: Participants were assigned to arms by a random or quasi-random procedure.
    in_subset:
    - mvp
    - model_extracted
  non_randomized:
    text: non_randomized
    description: 'Participants were assigned to arms by some deliberate non-random
      procedure, such as clinician choice or self-selection. Something was still administered;
      only the procedure that decided who got it was not random.

      A characteristic participants already had is not an assignment. Splitting a
      sample by diagnosis, exposure or genotype allocates nobody, and the study takes
      `not_applicable` here and `observational_cohorts` for its `assignment_structure`.'
    in_subset:
    - mvp
    - model_extracted
  single_arm:
    text: single_arm
    description: Every participant received the same thing, so there was nothing to
      allocate. An open-label pre-post drug study is single-arm.
    in_subset:
    - mvp
    - model_extracted
  not_applicable:
    text: not_applicable
    description: Nothing was administered, so allocation does not apply. An observational
      cross-sectional study takes this value.
    in_subset:
    - mvp
    - model_extracted