Enum: StatisticFamily¶

Test statistic family for the tested effect, independent of the thresholding procedure recorded in InferenceSettings. Open vocabulary: write the source's own wording in the field when nothing here fits.

URI: parse:StatisticFamily

Permissible Values¶

Value	Meaning	Description
t	None	Student's t
z	None	Has no degrees of freedom, so both numerator and denominator stay unset
f	None	Normally the only family besides likelihood_ratio to populate the numerator
chi_square	None	A chi-square statistic
likelihood_ratio	None	A likelihood-ratio statistic, from comparing a model against a nested one
beta	None	A regression coefficient reported as the test statistic itself, which some pa...
correlation	None	A correlation coefficient reported as the statistic, r or rho

In Subsets¶

Identifier and Mapping Information¶

Schema Source¶

from schema: https://neurostuff.org/schemas/neuroimaging-paper-parse

LinkML Source¶

name: StatisticFamily
description: 'Test statistic family for the tested effect, independent of the thresholding
  procedure recorded in InferenceSettings. 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-paper-parse
rank: 1000
permissible_values:
  t:
    text: t
    description: Student's t. A single-degree-of-freedom statistic, so only the denominator
      degrees of freedom are populated.
    in_subset:
    - mvp
    - model_extracted
  z:
    text: z
    description: Has no degrees of freedom, so both numerator and denominator stay
      unset.
    in_subset:
    - mvp
    - model_extracted
  f:
    text: f
    description: Normally the only family besides likelihood_ratio to populate the
      numerator.
    in_subset:
    - mvp
    - model_extracted
  chi_square:
    text: chi_square
    description: A chi-square statistic.
    in_subset:
    - mvp
    - model_extracted
  likelihood_ratio:
    text: likelihood_ratio
    description: A likelihood-ratio statistic, from comparing a model against a nested
      one.
    in_subset:
    - mvp
    - model_extracted
  beta:
    text: beta
    description: A regression coefficient reported as the test statistic itself, which
      some papers do instead of giving a t or z.
    in_subset:
    - mvp
    - model_extracted
  correlation:
    text: correlation
    description: A correlation coefficient reported as the statistic, r or rho.
    in_subset:
    - mvp
    - model_extracted