| |
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
RE: st: probability and z-statistic
A possible measure of ordinal trend is Somers' D, given (with confidence limits) by the -somersd- package, which you can download from SSC. For instance, if Deidra types
somersd autism_dx kerr_breath_score, tr(z) tdist
then -somersd- will produce a CI for Somers' D of breath score with respect to autism, which is the difference between two probabilities, namely the probabiliry that a randomly-chosen autistic person has a higher breath score than a randomly-chosen non-autistic person and the probability that a randomly-chosen nonautistic person has a higher breath score than a randomly-chosen autistic person.
More about Somers' D and -somersd- can be downloaded from my website (see my signature below).
I hope this helps.
Best wishes
Roger
Roger Newson
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected]
www.imperial.ac.uk/nhli/r.newson/
Opinions expressed are those of the author, not of the institution.
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Ron�n Conroy
Sent: 05 December 2006 13:13
To: [email protected]
Subject: Re: st: probability and z-statistic
On 5 Noll 2006, at 13:59, Deidra Young wrote:
> I just tried Kit's suggestion. One variable has two categories and
> the
> other has three. My test is to determine if there is a difference
> between
> cases with and without Autism Diagnosis (2) using an ordered severity
> measure with three levels (none, mild or severe). Using your
> suggestion, I
> obtained the following result. Does this look like the p value is
> calculated correctly?
>
> Deidra
>
>
> . tab autism_dx kerr_breath_score, all
>
> | Kerr Score for Disturbed Awake
> Initially Diagnosed | Breathing Rhythm
> with Autism | None Mild Severe | Total
> --------------------+---------------------------------+----------
> No Autism Diagnosis | 75 109 76 | 260
> Autism Diagnosis | 11 29 15 | 55
> --------------------+---------------------------------+----------
> Total | 86 138 91 | 315
The test for an ordered association is probably more in line with
your hypothesis.
. binreg Autism breathscore, rr
Iteration 1: deviance = 400.4562
Iteration 2: deviance = 300.4687
Iteration 3: deviance = 291.5691
Iteration 4: deviance = 291.3885
Iteration 5: deviance = 291.3884
Iteration 6: deviance = 291.3884
Generalized linear models No. of obs
= 315
Optimization : MQL Fisher scoring Residual df
= 313
(IRLS EIM) Scale parameter
= 1
Deviance = 291.3884049 (1/df) Deviance
= .9309534
Pearson = 314.8318309 (1/df) Pearson =
1.005852
Variance function: V(u) = u*(1-u) [Bernoulli]
Link function : g(u) = ln(u) [Log]
BIC =
-1509.167
------------------------------------------------------------------------
------
| EIM
Autism | Risk Ratio Std. Err. z P>|z| [95% Conf.
Interval]
-------------
+----------------------------------------------------------------
breathscore | 1.103058 .1807885 0.60 0.550 .7999973
1.520926
------------------------------------------------------------------------
------
The risk of autism goes up modestly for each 1-unit increase in
breath score severity, and it's not significant.
You can, of course, just to a trend test
. jonter breath, by(Aut)
Jonckheere-Terpstra Test
J = 7498
J* = 0.57
Prob > J* = 0.28532
or
. nptrend breath, by(Aut)
Autism score obs sum of ranks
0 0 260 40732
1 1 55 9038
z = 0.61
Prob > |z| = 0.544
=========
Ron�n Conroy
Royal College of Surgeons in Ireland
[email protected]
+353 (0) 1 402 2431
+353 (0) 87 799 97 95
http://www.flickr.com/photos/ronanconroy
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/