Nothing
HT_mal <-
function(t, gender, d, smok_status)# Function based on the results from the three cohorts (estimates from CPS-I and CPS-II)
{
### FIXED ###
X <- 10^7
### VARIED ###
# ----------------- #
# Males/Non-Smokers #
# ----------------- #
if (gender=="male" & smok_status=="N")
{
a0 <- 7.7
g0 <- 0.09
v0 <- 7e-8
p4 <- 0
p5 <- 0
p6 <- 0
}
# ------------------- #
# Females/Non-Smokers #
# ------------------- #
if (gender=="female" & smok_status=="N")
{
a0 <- 15.5
g0 <- 0.071
v0 <- 1e-7
p4 <- 0
p5 <- 0
p6 <- 0
}
# ------------- #
# Males/Smokers #
# ------------- #
if (gender=="male" & smok_status=="Y")
{
a0 <- 7.5
g0 <- 0.09
v0 <- 7e-8
p4 <- 0.01
p5 <- 0.6
p6 <- 0.22
}
# --------------- #
# Females/Smokers #
# --------------- #
if (gender=="female" & smok_status=="Y")
{
a0 <- 15.5
g0 <- 0.071
v0 <- 1e-7
p4 <- 0.02
p5 <- 0.5
p6 <- 0.32
}
params <- c(a0, g0, v0, p4, p5, p6)
### CALCULATED ###
v <- v0*(1+p4)
g <- g0*(1+p5*d^p6)
a <- a0*(1+p5*d^p6)
m0 <- v0
m <- m0
beta<- a - m - g
B <- (1/2)*(-g+sqrt((g^2) + 4*a*m))
K <- v*m*X/(g+B)
H <- K*(-t + (1/B)*log(g+B+B*exp((2*B+g)*t)))
return (H)
}
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