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In this sense, their validity is content-independent, so it is preserved under uniform substitution of data-types with arbitrary variables.
The most commonly used method for estimating selection intensity on protein coding genes fits a Markov model of codon substitution to data of two homologous sequences [37], [38].
All results below the higher detection limits were assigned a value of that detection limit divided by the square root of two, a commonly applied method for substitution of censored data when the data are not expected to be normally distributed (Hornung and Reed 1990).
The relative increase of variance due to substitution of missing data can be calculated for any given data [ 5].
Overall, the results were similar when using only baseline data (without time-varying covariates) and without substitution of missing data.
Unless otherwise specified, there will be no substitution of missing data.
In such complex responses consisting of many correlated variables, substitution of missing data generally improves parameter estimation.
The last observation carried forward method (LOCF) for substitution of missing data was used for an endpoint analysis in the primary and all secondary outcome measures.
Outcomes will be extracted from publications with estimation and substitution of missing data according to the guidelines of the Cochrane Collaboration [ 33], e.g. calculating standard errors from exactly reported t-values.
100 However, this technique is not used routinely in the management of patients around the world, and substitution of clinical data in the latter study was shown to provide the same clinical predictive value.
Comparison of decay values of substitution data versus substitutions plus SIC-coded indels showed higher decay values for most nodes when indel information was included (see Additional file 2, Figure S1).
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