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Enum: PublicationBiasMethod

Methods for assessing publication bias

URI: revaise:PublicationBiasMethod

Permissible Values

Value Meaning Description
FUNNEL_PLOT None Visual inspection of funnel plot
EGGERS_TEST None Egger's regression test
BEGGS_TEST None Begg's rank correlation test
TRIM_FILL None Trim and fill method
FAILSAFE_N None Rosenthal's fail-safe N
PETERS_TEST None Peters' test
SELECTION_MODELS None Selection models
P_CURVE None P-curve analysis
EXCESS_SIGNIFICANCE None Excess significance test

Slots

Name Description
assessment_methods Assessment methods
assessment_methods Methods used to assess publication bias

Identifier and Mapping Information

Schema Source

  • from schema: https://open-and-sustainable.github.io/revaise-model/schema/stages/synthesis

LinkML Source

name: PublicationBiasMethod
description: Methods for assessing publication bias
from_schema: https://open-and-sustainable.github.io/revaise-model/schema/stages/synthesis
rank: 1000
permissible_values:
  FUNNEL_PLOT:
    text: FUNNEL_PLOT
    description: Visual inspection of funnel plot
  EGGERS_TEST:
    text: EGGERS_TEST
    description: Egger's regression test
  BEGGS_TEST:
    text: BEGGS_TEST
    description: Begg's rank correlation test
  TRIM_FILL:
    text: TRIM_FILL
    description: Trim and fill method
  FAILSAFE_N:
    text: FAILSAFE_N
    description: Rosenthal's fail-safe N
  PETERS_TEST:
    text: PETERS_TEST
    description: Peters' test
  SELECTION_MODELS:
    text: SELECTION_MODELS
    description: Selection models
  P_CURVE:
    text: P_CURVE
    description: P-curve analysis
  EXCESS_SIGNIFICANCE:
    text: EXCESS_SIGNIFICANCE
    description: Excess significance test