Phoenix NLME statistics

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Associated diseases

Associated diseases

Phoenix NLME specifications


Unique identifier OMICS_16894
Name Phoenix NLME
Software type Package/Module
Interface Graphical user interface
Operating system Unix/Linux, Mac OS, Windows
License Commercial, Other
Computer skills Medium
Stability Stable
Maintained Yes


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Phoenix NLME in publications

PMCID: 5948273
PMID: 29423715
DOI: 10.1007/s00198-018-4376-1

[…] − 2.5 were estimated against three categories of tracp-5b decreases (100, 200, and 300 mu/dl)., all modeling and simulation in this study were performed using a nonlinear mixed-effects modeling in phoenix nlme 1.3 software (pharsight corporation, certara, lp, princeton, nj) with the foce-els algorithm., data from a total of 306 patients who had values for at least one bone resorption marker […]

PMCID: 5688484
PMID: 29143669
DOI: 10.1186/s13071-017-2449-1

[…] higher than the fed dogs []. population pharmacokinetic analysis, using nonlinear mixed effects modeling (nlme, phoenix software, showed that feeding has a significant effect on the variability of oral absorption in dogs [].fig. 1 , minocycline and doxycycline have broad antibacterial activity that includes […]

PMCID: 5667771
PMID: 29095954
DOI: 10.1371/journal.pone.0187624

[…] was used for data analysis., nonlinear mixed effects modeling was performed to estimate the pharmacokinetics parameters []. model development used first-order conditional estimation (foce) in phoenix nlme 7.0 (certara) to provide estimates of the typical values for population pharmacokinetic parameters, between-subject variability, inter-occasional variability, and residual variability., […]

PMCID: 5612971
PMID: 28947805
DOI: 10.1038/s41598-017-12159-z

[…] plasma concentration–time data were analysed by nonlinear mixed-effects regression using first-order conditional estimation with extended least squares (foce-els) as an estimation method in phoenix nlme® (certara, cary, nc, usa). values below the loq were excluded from the data set prior to data summarization and pharmacokinetic analysis. the structural pk model for the iv data […]

PMCID: 5613187
PMID: 28643370
DOI: 10.1002/psp4.12220

[…] s exponential and residual error as additive. 6mwt(1) = intercept + slope∗exp(ηslope)∗age. 6mwt(2) = intercept2 + slope2∗exp(ηslope2)∗age. , 6mwt = min (6mwt(1),6mwt(2)); min = minimizing function in phoenix nlme., for each individual, the age at maximum response (agemax) is the x value (agemax) at which the two lines intersect (6mwt(1) = 6mwt(2)). agemax= (intercept2−intercept)/(slope∗exp(ηslope) […]

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