TreeAge Pro 2008 will be released in January, 2008. It will be available to anyone with...

• an active annual license.
• a standard license (aka, "perpetual") with maintenance through 1/1/2008.

You can check your license/maintenance expiration date in TreeAge Pro, under Help > License Manager, or by logging in at the Support page.

To check availability of v2008 downloads from within an existing TreeAge Pro installation, go to Help > TreeAge on the Web > Check for Updates....

Additional Information on TreeAge Pro 2008
New Features in TreeAge Pro 2008
Features Enhanced in TreeAge Pro 2008

• For more details on new features in TreeAge Pro 2008, refer to recent Technical Notes:
  TreeAge Pro 2008 Tech Note (PDF) and additional Technical Notes
• TreeAge Software presented a webinar on TreeAge Pro 2008 on 10/31/07. The webinar will be repeated on 1/16/08. To register for the webinar or to review webinar materials, please go to our Webinar page.
• Click here for information on changes released with TreeAge Pro 2007.
• Click here for a list of pages highlighting specific features.

TreeAge Pro 2008 includes the following new features...

• Tree Workbook
  Create an Excel workbook with updatable views of a tree’s data.
• Parallel Trials
  Support for parallel trials was enhanced with three new features.
  
  Dynamic Parallel Trials.
  Parallel Trials and Discrete Event Simulation.
  Parallel Trial Sets.
• Create user-defined distributions quickly using Python classes/functions. Use to override built-in distribution's sampling/expected value behavior.
• New Simulation Keywords
  New keywords give more control and reporting capabilities during simulation.
• New Functions
  New functions to use in formula expressions.
• Monte Carlo Special Variables
  New variables to run calculations before and after simulation iterations.
• Monte Carlo EVPPI Seed
  New seeding option for EVPPI simulations.
• Document Locking
  Lock a document to prevent inadvertent changes.

TreeAge Pro 2008 enhances the following features...

• Variables Report
  Includes option to highlight unused variables.
• Markov Cohort Output
  Output is expanded to include extra payoffs.
• Analysis Speed/Efficiency
  Simulation speeds increased up to 10%. Large, cloned models use significantly less memory (i.e., preserving memory resources for simulation)
• User Defined Python Functions
  Access more TreeAge Pro data from within your Python function.

This feature requires the Excel Module (TreeAge Pro Excel or TreeAge Pro Suite).

The Tree Workbook functionality is part of the Excel Add-in. From the TreeAge menu within Excel, select Create Tree Workbook to generate a workbook with views of most of the data contained within a TreeAge Pro tree document.

For more information, review the Tree Workbook Companion Guide.

Several new features were added to TreeAge Pro 2008 to add flexibility when running parallel trials.

These features require the Healthcare Module (TreeAge Pro Healthcare, TreeAge Pro Suite).

Dynamic Parallel Trials	Create a microsimulation model with a dynamic number of trials. Add new trials with each Markov cycle.
Parallel Trials and Discrete Event Simulation	Use the new keyword _clock to synchronize parallel trials when a Markov model has variable cycle lengths.
Parallel Trial Sets	Some models will yield highly variable results when running parallel trials. Run several sets of parallel trials to generate an expected value.

Use these new simulation keywords in expressions (variables, rewards, probabilities, etc.) during microsimulation:

_trial (existing)	_sample (existing)	_voi_sample
_trial_size	_sample_size	_voi_sample_size
_state_index	_thread_index	_cache_level
_parallel_trial_creator	_parallel_trials_clock	_parallel_trials_set
_parallel_trials_sets_size

Use these new functions in expressions (variables, rewards, probabilities, etc.):

GlobalNIncr	Increments the current global matrix value and returns the new value.
TrackerIncr (Healthcare Module)	Increments a tracker variable and returns the new value.
StateIndex (Healthcare Module)	Returns the integer index of the named state.
TransProb (Healthcare Module)	Returns the product of path probabilities from a Markov state to the current node.

Use these special variables to run actions/calculations either before or after each iteration:

_monte_pre_trial_eval	Evaluate before each trial.
_monte_post_trial_eval	Evaluate after each trial.
_monte_pre_sample_eval	Evaluate before each sample.
_monte_post_sample_eval	Evaluate after each sample.
_monte_pre_info_sample_eval	Evaluate before each EVPPI sample.
_monte_post_info_sample_eval	Evaluate after each EVPPI sample.

TreeAge Pro 2008 introduces a new advanced seeding option that provides better consistency in distribution sampling for Partial EVPI Monte Carlo simulations.

Create a microsimulation model with a dynamic number of trials, with new trials added with each Markov cycle.

This feature requires the Healthcare Module (TreeAge Pro Healthcare, TreeAge Pro Suite).

Access the global matrices and parallel trials information from within your Python function. Write to the TreeAge Pro debug window to test/debug your Python function.