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From |
Gwinyai Masukume <parturitions@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

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

Date |
Wed, 20 Mar 2013 20:54:01 +0200 |

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. > > * > * 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/ > * * 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/

**Follow-Ups**:**Re: st: Interpretation of Two-sample t test with equal variances?***From:*Austin Nichols <austinnichols@gmail.com>

**References**:**st: Interpretation of Two-sample t test with equal variances?***From:*Gwinyai Masukume <parturitions@gmail.com>

**Re: st: Interpretation of Two-sample t test with equal variances?***From:*Richard Williams <richardwilliams.ndu@gmail.com>

**Re: st: Interpretation of Two-sample t test with equal variances?***From:*Gwinyai Masukume <parturitions@gmail.com>

**R: st: Interpretation of Two-sample t test with equal variances?***From:*"Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>

**Re: st: Interpretation of Two-sample t test with equal variances?***From:*David Hoaglin <dchoaglin@gmail.com>

**R: st: Interpretation of Two-sample t test with equal variances?***From:*"Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>

**Re: st: Interpretation of Two-sample t test with equal variances?***From:*Gwinyai Masukume <parturitions@gmail.com>

**Re: st: Interpretation of Two-sample t test with equal variances?***From:*Nick Cox <njcoxstata@gmail.com>

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