Powered By HDS
Markov Chain Monte Carlo (MCMC)
Cost Effectiveness Calculator
Beta Test -- For Demonstration Only
DATA ENTRY FORM
You can change values in the white data entry boxes,
but you can not change the "Descriptive Statistics" results boxes.
Note: over 50 patients or over 100 cycles can require a few minutres to calculate.
Control Group
Probability Transition Matrix
State of Next Cycle
Well Post Event Death
State of
Current
Cycle
Well Each
Row Must Total 1.0
Post Event
Death
Well Post Event Death
Utility for State
Cost for State
Number of Patients Maximum Cycles
Treatment Group
Probability Transition Matrix
State of Next Cycle
Well Post Event Death
State of
Current
Cycle
Well Each
Row Must Total 1.0
Post Event
Death
Well Post Event Death
Utility for State
Cost for State
Number of Patients Maximum Cycles
Same Each Group Same Each Group

Sample of Charts Generated on Results Page
Quadrants of MCMC - CEA Results MCMC - Survival Curves


Descriptive Statistics

Total Mean Standard Deviation
Utility (Control)
Utility (Treatment)
Cost (Control)
Cost (Treatment)
Cycles (Control)
Cycles (Treatment)


References:
-- Hunink M et al. Decision Making in Health and Medicine. Cambridge University Press, 2001.
-- Briggs A et al. Decision Modelling for Health Economic Evaluation. Oxford University Press, 2006.
-- Sonnenberg FA and Beck JR. Markov Models in Medical Decision Making: A Practical Guide. Med Decis Making. 13:332-339; 1993.

Powered By HDS