Re: st: Interpretation of Two-sample t test with equal variances?

[Gwinyai Masukume <parturitions@gmail.com>]

Nick - well that's an interesting question. The variables that
determine the decision as you would imagine are many.
Regards,
Gwinyai.

On 3/20/13, Nick Cox <njcoxstata@gmail.com> wrote:
> What drives the decision on delivery mode any way? How far is it
> clinician's choice, patient's choice? Do you have data on the patient
> or clinician variables that influence or determine tha decision? If
> you don't have all the predictors -- and it would be surprising if you
> did -- there will be lots of unexplained variability.
>
> Nick
>
> On Wed, Mar 20, 2013 at 6:17 PM, Gwinyai Masukume
> <parturitions@gmail.com> wrote:
>> Hi again. Thanks, I'm learning a lot. Carlo - I'm developing a model
>> to simulate nulliparous (first time) mothers. As you note, the
>> C/section rate is about 30 percent. My model so far has few variables.
>> It's very very hard simulating reality I'm discovering.
>> With respect,
>> Gwinyai
>>
>> On 3/20/13, Carlo Lazzaro <carlo.lazzaro@tiscalinet.it> wrote:
>>> Dave is right.
>>> Actually I have read Gwinyai's post too fast and suggested something
>>> wrong.
>>> I am currently engaged in a project concerning pre-term delivery as
>>> dependent variable, that I have mistaken as Gwinyai's y, too.
>>> Anyway, provided that this is not a homework or an exercise on logistic
>>> regression, I confirm my concerns about the limited number of predictors
>>> in
>>> Gwinyai's model.
>>> For instance, are all the women included in the model at their first
>>> delivery?
>>> Best regards,
>>> Carlo
>>>
>>> -----Messaggio originale-----
>>> Da: owner-statalist@hsphsun2.harvard.edu
>>> [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di David Hoaglin
>>> Inviato: mercoledě 20 marzo 2013 17:33
>>> A: statalist@hsphsun2.harvard.edu
>>> Oggetto: Re: st: Interpretation of Two-sample t test with equal
>>> variances?
>>>
>>> Carlo,
>>>
>>> What meaning do you assign to an interaction between mode_delivery (the
>>> outcome variable) and age (the predictor)?
>>>
>>> David Hoaglin
>>>
>>> On Wed, Mar 20, 2013 at 10:48 AM, Carlo Lazzaro
>>> <carlo.lazzaro@tiscalinet.it> wrote:
>>>> Gwinyai,
>>>> your Pseudo R2       =     0.0015 seems very low.
>>>> Are you sure that all the relevant independent variables have been
>>>> included in your model?
>>>>
>>>> You may also consider searching for interactions between mode_delivery
>>>> & age.
>
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