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The bias from the small numbers of studies could act in either direction to exaggerate or underestimate effect sizes.
26 32 37 38 We imputed missing data points for pain scores, Oswestry disability index, and the composite outcome using the "last observation carried forward" method, which can underestimate effect sizes when "dropouts" occur because of lack of efficacy.
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Results from a policy model apply only to a specific policy implementation and tend to underestimate effects when non-compliance is high.
Individually randomised trials (as opposed to a cluster randomised design) may also underestimate effects where clinicians' influence one another.
However, this misclassification is likely to be random, and any bias will have tended to underestimate effects.
However, it may also underestimate effects of exposure on mortality if effects persist longer than the observed lag period (Roberts and Martin 2007; Schwartz 2000).
Direct comparisons of parameter estimates from the NLMM to those from the SEM without first re-scaling would underestimate effects by a factor of 1 + λ 2 θ.
Non-differential misclassifications tend to produce results that underestimate effects and do not present a threat to validity of the findings.
These results may provide support to the hypothesis that the pooled effect of TB on mortality in PLWH is an underestimated effect.
Differential misclassification of exposure [ 22] could have resulted in either an exaggerated or underestimated effect.
Yet, rather than overestimating the effects of work-related stress, this may have led to underestimating effect sizes.
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