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ERV phylogenies were built using the neighbor-joining and maximum parsimony methods implemented in the program MEGA [ 14] and maximum likelihood using the program PhyML [ 15].
Maximum likelihood using the continuous-time Markov model1,2,3,4 is one of the most common methods available to reconstruct ancestral states for discrete morphological characters.
We estimate the parameters of the model with maximum likelihood using data from the NLS-72.
Parameter estimation is done by maximum likelihood using first-passage time probabilities of diffusion processes [25].
The three models have been estimated by maximum likelihood using the equations given in Section 3.4.
The phylogenetic analysis was conducted by the method of maximum likelihood using PhyML with 100 bootstrap replicates.
The estimation method was maximum likelihood using the covariance matrix according to the suggestions of Hair et al. (2010).
Odds ratios (ORs) were estimated by maximum likelihood using unconditional logistic regression.
The random-effects Poisson model was fitted via maximum likelihood using the xtpoisson command.
Ancestral sequences were reconstructed by maximum likelihood using the software PAML v4 [23].
The combined nucleotide sequences were also analyzed under maximum likelihood using Bayesian inference with the program MrBayes v3.1.2 [205], [205].
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