Features of PopED 2.10

• PopED GUI could now run with Mono as run time engine. This enables the GUI to work on other systems than Windows where Mono 2.4 is installed.

• Matlab 2009 is now supported in the COM server and the command line.

• A new tool is enabled that allows the efficiency of a design to be translated to the number of individuals needed to get the same information as the reference design. See the manual for more information of this function.

Features of PopED 2.09

• A global structure is defined in the script version - making all the function calls more efficient and it is now possible to access all information in any user defined function.

• FO with interaction can be used from the GUI and the script version.

• FOCE with interaction updated to have higher precision in the Taylor expansion.

• Possibility to store the efficiency data from calculating sampling windows in a *.csv file

• Grouping is also included when generating sampling windows, i.e. grouped samples/covariates/discrete variables will have the same sampling value.

• A bug fix when simulation with ED uncertainty and omega uncertainty that forced the script version to stop executing.

• The GUI could run the script version without the COM server using plain Matlab process calls.

• Function that transform the Matlab output file to a xml file, enables further integration with third party software.

• Possibility to write user defined variance functions - enables e.g. auto correlation.

• The command that PopED GUI uses to run the script version could be stored in a file e.g. poped_cmd.m (default when a COM Server is not used).

• Output from the script version is available during the run if the COM Server is not used.

• Option to include user defined data structures into any of the user defined functions.

• The registry settings are replaced by a config.xml file in the PopED installation directory.

• Linear Disease progression templates are available and a template for having multiple dosing in a one compartment model defined as a differential equation is added.

Features of PopED 2.08

• Anchors used in the GUI, to use screen space more efficiently.

• If there are uneven number of samples used per group, the samples that are not used in a certain group are greyed out in the GUI.

• It is possible to switch between the g-vector and the g-name when writing model in the GUI. (Use the right button of the mouse).

• A path to a penalty function is possible to define in the GUI. This enables possibility to optimize on any kind of objective function, i.e. cost-based design. See the manual for more information.

• If a point distribution is used as an ED-distribution the variance is set to zero automatically.

• The simulation function enables to simulate with and/or without; residual variability, inter individual variability and if ED is used; ED-variability.

• Possible to store the output from a simulation in a comma seperated file.

• The ln|FIM| and API (E[ln|FIM|]) are avaible as criterions from the GUI.

• A feature to store all the file references without a path is available. This enables the xml-files to be directly copied to and run from a e.g. UNIX system without editing the xml-file.

• The script version of poped, poped2_0 is now returning the output-structure, i.e. the same structure that is written to the output file.

• The model result plot from the script version enables plotting the clustering number for each time point.

• Covariances terms (d-covariances) are better updated within the GUI.

• Ds optimal design is added to the script version, this enables optimization with focus on only "interesting" parameters.

• Occasion variability is enabled in the script version. This allow including occasions variances in the FIM in both local (D) and a global designs (ED).

Features of PopED 2.07

• Closed form solutions to linear homogeneous ordinary differential equations and closed form solutions to linear inhomogeneous odes with a constant time-independent term. This features can be used as a replacement of the <diff> tag in the model definition and will be much faster. <diff_lin> or <diff_lin_inhomc> could now be used instead (for linear odes). Use the predefined analytic solutions to e.g. the 3-compartment model, because it will still be faster. See the PopED exampel with "3 different drugs" for an extended exampel about the linear solvers.

• Modified Fedorov Exchange Algorithm implemented (MFEA). Instead of Random Search, Stochastic Gradient and the Line Search, the MFEA algorithm could be used. A step length and a convergence criteria could be set.

• When using the GUI and defining models the code is now syntax highlighted. The syntax highlighter includes the Matlab Code and the reserved words used in PopED.

• Possibility to rename all auto-created files in the GUI. I.e. the model (ff_.m), the residual varability model (feps.m) and the parameter model (sfg.m) could be renamed. This could prevent files from being overwritten when the parameter structure/the model or the residual model changes.

• A 2-compartment 1-order absorption with multiple dose added to the model library.

Features of PopED 2.06

• Possible to use a full omega matrix, i.e. correlation between IIV parameters. Available in the script version and the GUI.

• Possible to use line search in discrete optimization. This is now default.

• Possible to fix residual varability terms and use typical values as residual parameters.

• Possible to catch output from 3d-plot.

• A new exact algorithm for optimizing number of indivduals per group is implemented.

• Total max number of individuals for all groups and the minimum total number of individuals in all groups could be defined.

• 3d-plot can plot group size in group a vs group size in group b.

• Simulation function could now simulate with different residual varability samples for each time point and also covers correlation between IIV samples. It is also more stable when simulating and plotting a large number of simulations (>1000). Option to simulate only with the intial sample points.

• Latin hypercube sampling can be used in ED-optimal design. This is often more robust than normal sampling and might require less ED-samples.

• Initial designs can be updated from the optimized design. This is available under the Optimal Design menu.

• Grouping of samples/covariates and other design variables are available in the GUI.

• The solutions (when using differential equations) can be stored in memory to increase speed.

 

Features of PopED 2.05

• Possibility to optimize on the first order approximation based on simulated individual inter individual variability (FOCE).

• Possibility to optimize based on the first order approximation with interaction on the residual model (FOCEI).

• Improved feature in the GUI to distinguish between evaluation and optimization.

• User defined distributions available in the GUI.

• Log-normal distribution for ED-optimal design in the GUI.

• Zero-truncated normal distribution for ED-optimal design in the GUI.

• Improved speed when simulating and plotting the model. Not necessary to fetch the simulated data in the GUI.

• An anlytic solution to the Michaelis Menten equation available in the model templates.

• Three compartment oral and infusion models added to the templates.

Features of PopED 2.01

• Further support for Complex differentiation in GUI and script version.

• Improved management of the differential equation solver and the settings for differential equations in the GUI.

Features of PopED 2.0

• Optimization on sub-models (multiple response models, e.g. PK-PD).

• Optimization on sample times, other design parameters (e.g. dose, covariates etc), number of samples and number of individuals.

• ED and D-optimal design.

• User defined distributions for model parameters in ED-optimal design.

• Sampling/covariate windows.

• User defined residual variability model.

• User defined inter individual variability model.

• Grouping of time points/covariates between models and between subjects.

• Ability to use analytic derivatives for calculations of the Fisher Information Matrix (FIM).

• Model template library with user defined templates possible.

Diagnostic tools in PopED 2.0

• Plot model typical values.

• Simulate with model.

• Plot model optimization result.

• Plot Fisher Information Surface or standard error of parameter surface against design parameters.