Parameterization used for estimation of separate trial and treatment effects

TrialTreatment combinationModel linear component
IDA and ara-C (IA) μ + Zβ − (τ1 + βGO-IA)/2  
GO with or without IL-11 μ + Zβ + (τ1 + βGO-IA)/2  
FAIG μ + Zβ − τ2/2  
FAIG μ + Zβ + τ2/2 
FAIG + ATRA μ + Zβ − τ3/2  
FAIG + ATRA μ + Zβ + τ3/2 
TrialTreatment combinationModel linear component
IDA and ara-C (IA) μ + Zβ − (τ1 + βGO-IA)/2  
GO with or without IL-11 μ + Zβ + (τ1 + βGO-IA)/2  
FAIG μ + Zβ − τ2/2  
FAIG μ + Zβ + τ2/2 
FAIG + ATRA μ + Zβ − τ3/2  
FAIG + ATRA μ + Zβ + τ3/2 

IDA indicates idarubicin; ara-C, cytosine arabinoside; GO, gemtuzumab ozogamicin; IL-11, interleukin 11; FAIG, fludarabine, IA, and granulocyte colony-stimulating factor; ATRA, all-transretinoic acid; τ1, effect due to trial 2 versus trial 1, the unknown GO-IA trial effect; τ2, effect due to trial 4 versus trial 3, the FAIG trial effect; τ3, effect due to trial 6 versus trial 5, the FAIG + ATRA trial effect; βGO-IA, effect due to GO versus IA, the unknown GO-IA treatment effect; Zβ, the overall effect due to patient prognostic covariates; μ grand mean; and τ1 + βGO-IA, confounded GO-IA trial-treatment effect.

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