Conditional selection bias after futility continuation (source code)

= Conditional selection bias after futility continuation
{title2=$E(S\mid X\ge c)-\delta$}

For <independent random variables>[independent] stage <mean>[means] $X,Y\sim N(\delta,s^2)$ and combined <mean> $S=(X+Y)/2$, conditioning on the first-stage <sample mean> $X$ exceeding $c$ raises that <mean>. In this equal-stage setting, the <estimator bias> after continuation is $E(S\mid X\ge c)-\delta=(s/2)\lambda((c-\delta)/s)$, where $\lambda$ is the upper-tail <inverse Mills ratio>. It is positive and tends to zero as continuation becomes virtually certain.