Dear stata listers,
I am trying to fit a zero-truncated negative binomial
model to my count
data. The data variables are mf-counts, age,
frequency. The model that I
would like to fit is of the form:
xi:ztnb mf-counts i.age [fweight = freq] if
mf-counts>0, dispersion(mean)
Kindly note that my dispersion parameter is not a
constant but is a
non-linear function as given below:
k = k0+beta*mean**gamma (0<gamma < infinity)
where,
'k' is the dispersion parameter 'k' ( in stata, k=log
(1/alpha) of the
negative bonomial model
beta & gamma = coefficients to be estimated
In this model I want to test the hypothesis that
beta=0 against beta not
equal to 0.
could anyone help me out, how the stata code should be
written to estimate
the parameters of the model?
kindly note that i am new stata.
thanking you in advance and with kind regards
Subramanian Swaminathan
Vector Control Research Centre
(Indian Council of Medical Research)
Indira Nagar
Pondicherry - 605 006
INDIA
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