This may help:
. gen which = cond(uniform() < 0.721, "A",
cond(uniform() < 0.923, "B",
cond(uniform() < 0.990, "C", "D")))
Also see
SJ-7-3 pr0032 Stata tip 48: Discrete uses for uniform()
M. L. Buis
Q3/07 SJ 7(3):434--435
tip on using uniform() to create random draws from a
discrete distribution where each possible value has a
known probability
Nick
[email protected]
Carlo Lazzaro
In a Markov Model I have four variables (A= 0.721; B= 0.202; C= 0.067;
D=
0.010) showing transition probabilities from/to different health states,
which are both exhaustive and mutual exclusive (that is: Prob_A+ Prob_B+
Prob_C+ Prob_D=1)
I would like to randomly resampling the base case value of each variable
(let's say using -uniform()-): how can I constrain egen Resampling=
rowtotal
(A_uniform B_uniform C_uniform D_uniform) =1 after each random resample?
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