Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: longitudinal data
From
"joshua liwindi" <[email protected]>
To
[email protected]
Subject
Re: st: longitudinal data
Date
Mon, 13 Jun 2011 15:05:14 +0000
Thanks clyde
am looking at your suggestions
Liwindi
----- Original Message -----
From: Clyde Schechter
Sent: 06/13/11 05:57 PM
To: [email protected]
Subject: st: longitudinal data
Much depends on details that you don't state in your post. One thing that
can be said without further knowledge: your analysis will almost certainly
require you put your data in long form. There just aren't a whole lot of
Stata analysis commands that work best with wide data. See -help reshape-
for that.
I can't tell from your description what your outcome variable is. Is it
the actual count of gametocytes, or is it the presence of any gametocytes
(i.e. count > 0)? As you speak of prevalence in your post, I'm guessing
it's the latter. If so, take a look at -xtlogit-. If the former, have a
look at -xtpoisson- or -xtnbreg- for starters.
In any case, you also need to think about how to represent time in your
analysis. What kind of trajectory of gametocyte counts (or histories of
presence/absence) need to be modeled: (logit-)linear in time, V-shaped,
upside-down V-shaped, U-shaped, more complicated, even arbitrary? You
will need to look into splines perhaps (-help mkspline-), or for an
arbitrary time course represent time as a factor variable.
One more thing: my suggestions presume each subject is enrolled in only
one study arm. If you have a crossover design, then there are further
complications and you may need to look at -xtmixed- or -xtmelogit- or
something like that.
Hope this helps get you started.
Clyde Schechter
Albert Einstein College of Medicine
Bronx, NY, USA
Original Message:
Hi all,
I would like to get a hint in the easiest way to analyse this data, am
not very
good in STATA and more so with Biostatistics.
I have a data set with data from an anti-malarial study with 3 arms
placebo(SP),
and two active arms, (SP+AS3) and (SP+AS2).
gametocytes count is measured at days 0,1,2,7,14,21 and 28
The dataset is presented in a wide format
am intrested in effectiveness of treatment on gametocytes count and its
prevalence
during the 28 days
1. How do i calculate odds ratio and proportions and ??2. p values of (SP
vs AS1)
and (SP vs AS2) and
3. Corresponding p values of difference in the prevalence in those two
groups with
their respective 95% confidence intervals for the days above.
Do I need to change the data set to a long format or I can do all this
analysis
with the current wide format.
Thanks
Liwindi
Clyde Schechter, MA MD
Associate Professor of Family & Social Medicine
Please note new e-mail address: [email protected]
*
* 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/