What’s New in TreeAge Pro

New Markov Cohort Dashboard
Markov Cohort Analysis results are now consolidated into a single dashboard with access to all cohort reports and graphs that show detailed calculations.
New graphical outputs for additional model outputs.

Simulation Mean Prediction Intervals
Monte Carlo Simulation (Microsimulation & PSA) and histogram outputs show mean values and prediction intervals. These new statistics help you determine how stable simulation means are based on the width of the prediction interval.
Histogram options to show trendlines, mean and mean prediction interval.

Batch Simulation Runs
Run a batch of any Monte Carlo simulation to see how stable results are from run to run. This can help determine if your simulation included enough iterations.

Distribution Parameters from SAS, Stata, R
Create distributions with parameters generated from several statistical packages.

Sensitivity Analysis/Tornado Outputs for Extra Payoffs
Sensitivity Analysis Dashboards now include links to graphs that show how additional model outputs change with your selected input parameter.

New 1-way sensitivity analysis and tornado dashboards help you immediately understand the impact of uncertainty on your model.

Enhanced tornado diagrams with additional easy-to-use options for customizing charts.

Simultaneously update decision tree payoffs at multiple nodes.

Redesigned simulation output to provide improved visibility into the results.

Create consolidated Markov Cohort reports and graphs for a strategy that splits into multiple Markov nodes.

Combine Markov state proportion graphs and survival curves from multiple strategies and/or models.

Identify the maximum price where the associated treatment would be considered cost-effective. Find price thresholds for multiple WTP values and multiple model scenarios.

Export TreeAge Pro model cost outputs by time period to Excel. Then create a Budget Impact Analysis workbook using the output cost data.

Create new model inputs for budget impact costs or for time-in-state.

Enter payoff values at the any nodes along your model pathways.
Review values accumulated along event pathways with new reporting.

Calibration iteratively adjusts model input values to match target results based on observed clinical data.

Build PartSA models that track state membership based on survival curves derived from parametric distributions or from Kaplan-Meier curves. Use PartSA models within the familiar TreeAge Pro modeling framework to take advantage of built-in tools for cost-effectiveness analysis, sensitivity analysis, probabilistic sensitivity analysis, etc.

Export results from any model with different combinations of model inputs.

Share with colleagues in a familiar Excel format.

Generate high-quality model image files.

Control the display by splitting the model into multiple images and hiding numeric values.

Study population dynamics by specifying an initial cohort size and add people to the cohort over time.

Generate reports for the full cohort size for budget analysis.

Incorporate interaction among patients into your simulation models.

Add global variables to control the environment for all patients to handle resource allocation and queues.

Track patients in your simulation to see every step they take in the model.

Aggregated reports show patient flow with time in the familiar Markov Cohort report format.

Convert a TreeAge Pro Markov cohort model to a stand-alone Excel model with a single mouse click.