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For comparison, analyses with missing data treated as separate categories will also be carried out.
The statistical significance of changes in process-of-care variables was determined using a two-tailed Fisher's exact test with missing data treated as a separate category, and also with the missing data excluded from the calculations, so that the extent to which missing data contributed to the change could be assessed.
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Any missing data were treated as an absent disease state or a normal variable.
Item-level missing data were treated as a random effect for each of the measures and an additional pattern analysis conducted, to identify patterns of missing data.
The missing data were treated using FIML.
When present, missing data was treated as a separate category for independent variables.
In each alignment, indels and missing data were treated as a single polymorphism.
Gaps and missing data were treated with the partial deletion option, and the bootstrap method with 500 replications was employed.
The scoring of watersheds with incomplete data provides a conservative estimate of ecosystem condition as missing data are treated as neutral by the model.
Branch lengths were assigned by pairwise calculations of the genetic distances, and missing data were treated by pairwise deletions of the gaps.
For Hap, individuals that share haplotype over all loci except for where there are missing data were treated as the same haplotype.
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