Modeling with Hazards
Integrate hazard functions into your model to more accurately model disease progression.
Watch webinars for a look at the new functions.

• Calculating Hazards from Survival Data
  Convert survival data to hazards for additional flexibility related to modeling with health risks. Also convert to validate model results to ensure that they accurately represent health risks.
• Editing and Extending a Hazard Table
  Use the hazard table editor to modify hazards and examine how the risk changes affect survival.
• Using Hazards in a PartSA Model *
  Integrate hazards into a Partitioned Survival model by defining survival using hazard functions.
• Using Hazards in a DES Model *
  Integrate hazards into a Discrete Event Simulation model using a HazardTable or HazardExpression distribution for time-to-event.
• Using Hazards in a Markov Model
  Integrate hazards into a Markov model by calculating event probabilities based on changing hazards/risks over time.
• Sensitivity Analysis with Hazards
  Apply sensitivity analysis to hazard tables.
• Survival Curve and Hazard Curve Graphs
  Generate Hazard Curve graphs as well as Survival Curve graphs for the survival curve nodes (i.e., PFS, OS) in your model.
• Plot Distribution Survival and Hazards
  New control in the Distributions View allows you to plot survival and hazards from survival-related distributions. Both survival and hazards can be exported to tables.

Sensitivity Analysis on Tables
Expand table data to three value columns (low, base case, high) to support sensitivity analysis. This can help you apply sensitivity analysis to time-depending values in your model.

New Help Documentation

Product documentation has been rewritten and restructured to make it easier to develop your skills with TreeAge Pro. Help now opens in a separate browser window.

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.