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We performed parsimony analyses running the command-line Unix version of PAUP*.
The total number of free parameters and the best-fit model of sequence evolution for each partition selected using the AIC c are shown in Table 3. Maximum likelihood analyses running searches with 1 (1P) or 8 (8b) partitions (Table 1) produced fully resolved, strongly supported trees (Fig. 5).
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Analyses run on the PP population confirmed the primary efficacy results.
Table 3 shows the analyses run for categorical variables.
With this analysis, 15 analyses produced p<0.05, or 4.87% of analyses run.
Analyses ran with and without imputed data provided similar results.
Consequently, these analyses run the risk of false-positive results.
reported large differences in results from analyses run on complete cases only and analyses run on the entire dataset with imputed values.
A summary of comparative analyses run in this study can be found in Table 3.
Bayesian phylogenetic analyses ran Markov-Chain Monte-Carlo (MCMC) searches over one billion generations sampling every 1000 generations.
The method was performed as two separate analyses run in parallel.
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CEO of Professional Science Editing for Scientists @ prosciediting.com