Confounding Assessment Clause Samples

Confounding Assessment. A reduced model of the exposure and 10 correlates underwent confounding assessment. Excluding the 4 variables identified in the a priori statement as primary correlates of interest, 6 correlates were eligible for removal. Variable selection utilized a combination of stepwise backward elimination and specified change-in- estimate criterion. Excluding the variables identified in the a priori statement, the variable with the largest p-value was dropped from the model and a further reduced model was run. Variables were retained if their removal from the result model results in a change of ³ 10% in the OR effect estimate.