Effect representations data formats

Effect representations

Effect representations specify responses that may represent the effect.

Effect representations

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

Table aliases: EffectRepresentations, EffectRepresentation.

Table 145 Table definition for EffectRepresentations.
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

BenchmarkResponseTypes

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