Effect representations data formats

Effect representations specify responses that may represent the effect.

Download empty dataset template: Zipped CSV Excel

Effect representations

One response can be set as the canonical response (golden standard). For a quantitative or stochastically qualitative canonical response a benchmark response should be defined.

Accepted table names: EffectRepresentations, EffectRepresentation.

Table 272 Table definition for Effect representations.

Name	Type	Description	Aliases	Required
idEffect	AlphaNumeric (50)	Identifier of the effect	idEffect	Yes
idResponse	AlphaNumeric (50)	Identifier of the response	idResponse	Yes
BenchmarkResponse	Numeric	The threshold response value that defines a hazard. For numeric responses (Continuous, Quantal, Count) the value that defines a hazard. For Binary responses 1 defines a hazard by default, unless redefined here.	BenchMarkResponse, HazardEffectSize, BMR, CriticalEffectSize, CES	No
BenchmarkResponseType	BenchmarkResponseType	Specifies how the BenchMarkResponse is expressed, relative to the response at zero dose, or absolute. Required for numeric response types (Continuous, Quantal, Count). For qualitative responses (Ordinal, Categorical) Absolute is used.	BenchmarkResponseType, HazardEffectSizeType, CriticalEffectSizeType	No