Nothing
## ---- echo=FALSE, include=FALSE-----------------------------------------------
library(heemod)
library(ggplot2)
## -----------------------------------------------------------------------------
param <- define_parameters(
age_init = 60,
sex = 0,
# age increases with cycles
age = age_init + model_time,
# operative mortality rates
omrPTHR = .02,
omrRTHR = .02,
# re-revision mortality rate
rrr = .04,
# parameters for calculating primary revision rate
cons = -5.49094,
ageC = -.0367,
maleC = .768536,
lambda = exp(cons + ageC * age_init + maleC * sex),
gamma = 1.45367786,
rrNP1 = .260677,
# revision probability of primary procedure
standardRR = 1 - exp(lambda * ((model_time - 1) ^ gamma -
model_time ^ gamma)),
np1RR = 1 - exp(lambda * rrNP1 * ((model_time - 1) ^ gamma -
model_time ^ gamma)),
# age-related mortality rate
sex_cat = ifelse(sex == 0, "FMLE", "MLE"),
mr = get_who_mr(age, sex_cat, local = TRUE),
# state values
u_SuccessP = .85,
u_RevisionTHR = .30,
u_SuccessR = .75,
c_RevisionTHR = 5294
)
param
## -----------------------------------------------------------------------------
mat_standard <- define_transition(
state_names = c(
"PrimaryTHR",
"SuccessP",
"RevisionTHR",
"SuccessR",
"Death"
),
0, C, 0, 0, omrPTHR,
0, C, standardRR, 0, mr,
0, 0, 0, C, omrRTHR+mr,
0, 0, rrr, C, mr,
0, 0, 0, 0, 1
)
mat_standard
mat_np1 <- define_transition(
state_names = c(
"PrimaryTHR",
"SuccessP",
"RevisionTHR",
"SuccessR",
"Death"
),
0, C, 0, 0, omrPTHR,
0, C, np1RR, 0, mr,
0, 0, 0, C, omrRTHR+mr,
0, 0, rrr, C, mr,
0, 0, 0, 0, 1
)
mat_np1
## ---- fig.width = 6, fig.height=6, fig.align='center'-------------------------
plot(mat_standard)
## -----------------------------------------------------------------------------
strat_standard <- define_strategy(
transition = mat_standard,
PrimaryTHR = define_state(
utility = 0,
cost = 0
),
SuccessP = define_state(
utility = discount(u_SuccessP, .015),
cost = 0
),
RevisionTHR = define_state(
utility = discount(u_RevisionTHR, .015),
cost = discount(c_RevisionTHR, .06)
),
SuccessR = define_state(
utility = discount(u_SuccessR, .015),
cost = 0
),
Death = define_state(
utility = 0,
cost = 0
),
starting_values = define_starting_values(
cost = 394
)
)
strat_standard
strat_np1 <- define_strategy(
transition = mat_np1,
PrimaryTHR = define_state(
utility = 0,
cost = 0
),
SuccessP = define_state(
utility = discount(u_SuccessP, .015),
cost = 0
),
RevisionTHR = define_state(
utility = discount(u_RevisionTHR, .015),
cost = discount(c_RevisionTHR, .06)
),
SuccessR = define_state(
utility = discount(u_SuccessR, .015),
cost = 0
),
Death = define_state(
utility = 0,
cost = 0
),
starting_values = define_starting_values(
cost = 579
)
)
strat_np1
## -----------------------------------------------------------------------------
res_mod <- run_model(
standard = strat_standard,
np1 = strat_np1,
parameters = param,
cycles = 60,
cost = cost,
effect = utility
)
## -----------------------------------------------------------------------------
summary(res_mod)
## ---- fig.width = 6, fig.height=6, fig.align='center'-------------------------
plot(res_mod, type = "counts", panel = "by_state", free_y = TRUE) +
theme_bw() +
scale_color_brewer(
name = "Strategy",
palette = "Set1"
)
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