Markov cohort simulation in Excel - Half-cycle adjustment

[@anonimo26666]

Thank you so much!, My professor used to do the half-cycle adjustment only in the first and the last cycle, is that also correct?

[@harshotsai]

Excellent, thanks for sharing!!

[@TMSnowsill]

Thank you! Cheers!

[@yangxulin5883]

Thank you so much for the sharing! It's very helpful. I just wonder, why we take the average across the entire cohort 1000? Using costs for the healthy status over 1000 to get the average per patient cost for healthy status? Thank you very much for your help!

[@TMSnowsill]

The cohort size isn't actually important in the analysis, but it's common to use 1000 because it usually makes it easier to see how patients are progressing through the model rather than using a cohort size of 1. I hope that answers your question?

[@JegErJoachim]

Hi there, Is there a reason why you choose to take the average of the particular cell and the following cell and not the previous cell? When I've been doing half-cycle correction, I have always calculated the average of the particular cell and the previous cell, because I have a "Cycle 0" included in the trace. Could you shed some light on this for me, as I am wondering which is the best method? Kind regards

[@TMSnowsill]

Hi - I don't think there's a way which is strictly right or wrong, provided you are consistent. I also like to have cycle 0 beginning at time 0 and then cycle 1 beginning at time T, cycle 2 beginning at time 2T (assuming T is the cycle length). Then if you are discounting you usually have no discounting in cycle 0, so that works nicely with the formula =POWER(1 + [discount_rate], -[cycle]). The important thing to make sure is that you are achieving the trapezoidal numerical integration you are aiming for - there's more than one way to do it for sure.

[@akyapoguraveena9479]

by using three parameters like road density, road geometry and traffic composition at one junction by using field data how to make transition matrix can u explain sir by taking example with data clearly from field data to matrix