|
PopKinetics, Version 1.0 Features
General
- Standard Two-Stage (STS) and Iterated Two-Stage (ITS) parametric
population analysis methods
- Operates directly on SAAM
II single-subject models
- Full SAAM II functionality in population setting
- Allows population analysis of complex (multi-compartment) models;
simple models analyzed quickly and easily
- Fast
Setup for population analysis (point and click)
- No programming or pseudo code required
- Setup independent of model complexity
- Analysis setup easily modified
- Experimental protocol can vary between subjects
- Incorporates a Global
Tool to rapidly modify model and data attributes for each subject
in the population
- Requires few assumptions to begin population analyses
- User’s notes can be included in Analysis Files to document
particular items of interest in an analysis: setup, conclusions, etc.
- Includes detailed on-line help with examples
Computations
- Computations proceeds automatically in populations with constant,
fixed, and random effects
- Alerts users when there are problems in analyzing data; provides
interactive error control; direct integration with SAAM II allows for
speedy data and model error identification and correction
- Confidence
Intervals on population parameters to indicate precision with
which population parameters are estimated
- Progress
Display during analysis
Output/Results
- Analysis results may be plotted using General
plot or Samples
and Data plot is available to examine frequently used results)
or listed in Tables; Results may
be exported to other applications or printed to a file for additional
analysis or reporting - flexible text reporting built in
- Provides detailed Logs to
examine events that occur during an analysis to allow user to verify
that the analysis proceeded as intended
Powerful Simulation Capabilities
- Simulates
Populations with variability in data and model parameters
- Simulates Clinical Trials to determine effect of varying dosing regimens
- Performs Monte
Carlo Simulations that can be used to test single-subject models
[top of page]
|