Depending on one's background and target audience it is often good
advice to start with a less complex model and try to make it simpler!
Nick
On Wed, Nov 14, 2012 at 3:07 PM, JVerkuilen (Gmail)
<jvverkuilen@gmail.com> wrote:
> On Wed, Nov 14, 2012 at 4:51 AM, <S.Jenkins@lse.ac.uk> wrote:
>>
>> Advice commonly given on this list is to start with a less complex model
>> and then make it more complicated. Be aware that models of the sort that
>> you wish to estimate are intrinsically tricky to fit.
>
> I just taught the mixed logistic regression class last night and
> showed this very point. These are hard.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
