E g1( ˜A)|W, T= 1 E g1( ˜A)|W, T= 0 # T + log h E g1( ˜A)|W, T= 0 i! Similarly, using Equation (6) in Section 2.5 in the Main Document, we have E(Y2 |W, T) = exp α2 +s 2(W) + log

the joint estimating equationPn i=1 U(Y 1,i, Y2,i, Ti, θ) = 0, with U(Y 1,i, Y2,i, Ti, θ) =   Y1,i−p∗ 1,i 1−p∗ 1,i Ti(Y1,i−p∗ 1,i) 1−p∗ 1,i Y2,i −p ∗ 2,i Ti(Y2,i −p ∗ 2,i

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Using NonTargeted HPV Infections in Studies with Risk Compensation

stat.ME · 2026-05-12 · unverdicted · novelty 6.0

Nontargeted HPV infections remove both confounding and the behavior-mediated portion of vaccine effect, yielding the direct immunological effect rather than the total effect including risk compensation.

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Using NonTargeted HPV Infections in Studies with Risk Compensation stat.ME · 2026-05-12 · unverdicted · none · ref 31
Nontargeted HPV infections remove both confounding and the behavior-mediated portion of vaccine effect, yielding the direct immunological effect rather than the total effect including risk compensation.

E g1( ˜A)|W, T= 1 E g1( ˜A)|W, T= 0 # T + log h E g1( ˜A)|W, T= 0 i! Similarly, using Equation (6) in Section 2.5 in the Main Document, we have E(Y2 |W, T) = exp α2 +s 2(W) + log

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