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is it possible to run different initial counts for two strategies in library heemod?

Let's say we have the example provided from ?run_model

mod1 <- define_strategy( transition = define_transition( .5, .5, .1, .9 ), define_state( cost = 543, ly = 1 ), define_state( cost = 432, ly = 1 ) )

and

mod2 <- define_strategy( transition = define_transition( .5, .5, .1, .9 ), define_state( cost = 789, ly = 1 ), define_state( cost = 456, ly = 1 ) )

How can we change this function 

res2 <- run_model( mod1, mod2, cycles = 10, cost = cost, effect = ly)

and set mod1 c(80,20) and for mod2 c(60,40) initial counts?

Thank you

akis
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1 Answers1

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It would not make sense for a cohort based Markov model, which package heemod runs. These models compare strategies on comparable groups of patients, starting out equally distributed among health states. So this function is not available.

n.soto
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