Yes, with a p-value < 0.05 you reject the hypothesis that the
coefficient of the new variable is insignificant.
Ekrem Kalkan.
2009/12/14 Karen Wright <[email protected]>:
> Dear All,
> Apologies for the very obvious question, but I was hoping to double check that I am using lrtest correctly. If I am testing two nested models and wish to know whether the term i have added significantly improves the model then I can use lrtest, and a p-value of <0.05 indicates that adding the term significantly improves the model?!
>
> Thank you,
> Karen
>
>
> The Institute of Cancer Research: Royal Cancer Hospital, a charitable Company Limited by Guarantee, Registered in England under Company No. 534147 with its Registered Office at 123 Old Brompton Road, London SW7 3RP.
>
> This e-mail message is confidential and for use by the addressee only. If the message is received by anyone other than the addressee, please return the message to the sender by replying to it and then delete the message from your computer and network.
>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
