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By excluding studies with these patients we increased homogeneity.
19 Sensitivity analysis will be performed by excluding studies with poor methodological design.
We performed sensitivity analyses by excluding studies with predefined less desirable characteristics, as follows.
We will, however, investigate the robustness of the results to risk of bias by excluding studies with a high risk of bias.
By excluding studies with verification bias, we found a lower sensitivity of 0.83 (95%% CI 0.73 0.89), but a higher specificity of 0.77 (95%% CI 0.64 0.86).
We performed sensitivity analyses by excluding studies with 20% or greater loss of follow-up and dropouts, and created funnel plots for meta-analyses to assess publication bias.
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In addition, by excluding studies of patients with chronic schizophrenia, the mean age of patients in the schizophrenia studies sampled was closer to the ages in autism studies.
Sensitivity analyses were planned to explore the influence of different factors on effect size by repeating analyses as follows: 1) excluding studies with imputed values; 2) excluding non-randomized studies; and 3) excluding studies rated as having a high risk of bias.
Sensitivity analysis was assessed using the Jackknife procedure by looking at the individual influence of a study and then repeating the analysis by excluding the studies with the largest weights.
Excluding studies that recruited participants with rapid-cycling.
We tried our best to minimize the bias by excluding those studies with insufficient patient characteristics [ 8, 19, 21].
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