Description Usage Arguments Value
function for computing the probability of each state in the first round which depends on the censoring time
1 | round_1(m1, m2)(i,h)
|
m1 |
vector of coefficients of multinomial regression for subjects who attended one screening round. In this regression variable states (screening results) is regressed on 1. |
m2 |
vector of coeffiecient of logistic regression considering round 1 of all subjects who attanded more than one round. In this regression variable states (screening results) is regressed on censoring time. |
i |
state which can be 0 (true negative), 1 (false positive) or 2 ( competing event). |
h |
total number of screening round attended. |
A numeric value between 0 and 1 which represents the probability of a specific state in the first round.
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