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In this paper we derive an exact upper limit for the variance bias due to carry-over for an arbitrary number of observations per subject.
However, for designs with more than three observations per subject, Kunert and Utzig (1993) only give a rough upper bound for the worst-case variance bias.
In another study, Wells and colleagues simulated variance, bias and MSE by the DTC and AITC method [ 21].
The mother was the respondent for the scales concerning parenting and child behaviour, leading to possible shared method variance bias.
The first part, β1, g, in equation 1 is the variance bias and accounts for a constant correlation that exists between any two input points.
It was reported that the observed variance, bias and MSE for the AITC were larger than that for the DTC, particularly when the baseline risk was low [ 21].
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We used stochastic simulations to determine if sampling variance biased estimates of λ and how these biases varied with the sample size used to construct matrix models.
The dwSSA computes low variance biasing parameters by minimizing cross entropy using a modified version of Rubinstein's multilevel cross-entropy method [ 17, 18].
Additional constraints on Γ allow further reduction in model complexity, e.g., γ t, f being identical at night time, in order to optimize the variance-bias trade-off; we further comment on this in Section 5.
Thus with longer follow-up, there is a variance-bias tradeoff for estimating the difference in cancer mortality.
Because of this variance-bias trade-off, the results of a randomized screening trial vary with the length of follow-up after the last screening.
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