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The bivariate effects model [ 12] was used to summarise estimates of sensitivity and specificity with 95% confidence intervals.
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Manning and Ingebritsen (1999) summarised estimates of the bulk permeability of continental crust.
Table 1 summarises estimates of the model parameters based on values reported in the biological literature; these are discussed further in the "Biological Parameter Estimates" section of Additional file 1. Parameters used for both the stochastic and deterministic models.
Table 2 summarises estimated blood loss based on intitial presentation.
Table 2 summarises estimated blood loss based on initial presentation according to the ATLS classification system.
We will summarise MID estimates separately for paediatric and adult populations, along with study design, intervention, population characteristics, characteristics of the PRO, characteristics of the anchor and credibility ratings.
To test the robustness of methods used for our primary analyses we planned the following sensitivity analyses: Summarising effects with a fixed effect model Summarising with available ANCOVA estimates Summarising with raw mean differences (HAM-D) Summarising with final raw final values (HAM-D) Restricting analyses to studies considered to have a low risk of bias.
Table 2 summarises parameter estimates and model fit for the fixed effects, scale-based SF36 algorithm.
The summarised effect estimates will be presented by HRs with 95% CIs.
We summarised the estimates across the studies using a random-effects model (DerSimonian and Laird, 1986).
Table 4 summarises parameter estimates, model fit and individual significance of included variables from the Huber/White sandwich estimator.
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