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Meta-regression and publication bias were analyzed using R statistical software version 2.13.0 (R development Core Team, Vienna, Austria; http://www.r-project.org).org
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The differences of biases between these three groups were analyzed using one-way, repeated measure analysis of variance.
Specifically, amino acids bias, disorder promoting regions and flexibility were analyzed using Composition Profiler [ 91] and the SwissProt 51 database [ 92] as a reference; 10,000 bootstrap iterations were performed.
Propensity score analysis was used to reduce biases, and potential predictors of survival were analyzed using a Cox model.
Results were analyzed using a variety of measures of sensitivity and bias, both parametric and non-parametric, as well as robust statistics.
The data were analyzed using statistical modeling, in part to account for selection bias.
Photoquadrats were analyzed using the software photoQuad49 by one person to keep observer bias equal across all photos.
A total of 111 implants from 43 patients were analyzed using validated array methods; however, considerable heterogeneity and risk of bias were detected.
Images were analyzed using Gap Light Analyzer41.
Data were analyzed using one-way ANOVA.
Data were analyzed using Prism 5.0 (GraphPad Software).
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