PsN-Toolkit—A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM
- 1 September 2005
- journal article
- Published by Elsevier BV in Computer Methods and Programs in Biomedicine
- Vol. 79 (3), 241-257
- https://doi.org/10.1016/j.cmpb.2005.04.005
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Perl-speaks-NONMEM (PsN)—a Perl module for NONMEM related programmingComputer Methods and Programs in Biomedicine, 2004
- Comparison of stepwise covariate model building strategies in population pharmacokinetic-pharmacodynamic analysisAAPS PharmSci, 2002
- Backward, forward and stepwise automated subset selection algorithms: Frequency of obtaining authentic and noise variablesBritish Journal of Mathematical and Statistical Psychology, 1992
- Building population pharmacokineticpharmacodynamic models. I. Models for covariate effectsJournal of Pharmacokinetics and Biopharmaceutics, 1992
- Bootstrap investigation of the stability of a cox regression modelStatistics in Medicine, 1989
- Better Bootstrap Confidence IntervalsJournal of the American Statistical Association, 1987
- Analysis of pharmacokinetic data using parametric models. III. Hypothesis tests and confidence intervalsJournal of Pharmacokinetics and Biopharmaceutics, 1986
- Bootstrap Methods: Another Look at the JackknifeThe Annals of Statistics, 1979
- Detection of Influential Observation in Linear RegressionTechnometrics, 1977
- NOTES ON BIAS IN ESTIMATIONBiometrika, 1956