If they are, then Stata will tell you, indirectly. There are many
strategies
for variable choice, which range from putting everything in and then
cutting
out variables that appear to be unimportant, tor building up from a very
simple model until extra complications do not appear worthwhile. You
could try to automate the process using -stepwise-, but most people I
know would advise against that and suggest that you should bring your
scientific and practical judgment to bear.
francesca.modena
I run a zero inflated poisson model. The sample is 409 observations,
with 87
nonzero observations and 322 zero observations. There are 42 independent
variables. Long and Freese (2001) report a general rule of at least 10
observations per parameter for models for categorical dependent
variables,
but they suggest that the zero-inflated poisson model seems to require
more
observations.
Moreover, if there is little variation in the dependent variable (as
could
be this case, in which nearly all of the outcomes are 0), a larger
sample is
required.
Can you suggest me if 42 parameters are too many for my sample?
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