Lee Sieswerda, Epidemiologist
Thunder Bay District Health Unit
999 Balmoral Street
Thunder Bay, Ontario
Canada P7B 6E7
Tel: +1 (807) 625-5957
Fax: +1 (807) 623-2369
[email protected]
www.tbdhu.com
> -----Original Message-----
> From: [email protected] [SMTP:[email protected]]
> Sent: Monday, January 20, 2003 6:22 PM
> To: [email protected]
> Subject: st: Relative Risk Ratios
>
> I am not sure if I have the syntax correct for running relative risk
> ratios. I do not have a strong background in epidemiology and am
> attempting to run Relative Risk Ratios (RRRs) for the first time. I have
> been doing some reading and the output I am getting while using Stata 7.0
> to run RRRs is not making sense. I am looking at the risk of falling
> (continuous outcome) given various risk factors. I have included a few
> examples below assessing relative risk given the presence of a particular
> disease diagnosis for example. I am getting huge confidence intervals and
> I am having difficulty determining the "p" or the actual significance in
> the output. Can anyone out there help with the syntax and the output
> interpretation for RRRs?
> Thanks,
> Beth
>
> . mlogit m179 fallrateall, rrr
>
> Iteration 0: log likelihood = -460.56789
> Iteration 1: log likelihood = -460.41988
> Iteration 2: log likelihood = -460.41932
> Iteration 3: log likelihood = -460.41932
>
> Multinomial regression Number of obs =
> 1140
> LR chi2(1) =
> 0.30
> Prob > chi2 =
> 0.5857
> Log likelihood = -460.41932 Pseudo R2 =
> 0.0003
>
> --------------------------------------------------------------------------
> ----
> m179 | RRR Std. Err. z P>|z| [95%Conf.
> Interval]
> -------------+------------------------------------------------------------
> ----
> 1 |
> fallrateall | 8.05732 30.29487 0.55 0.579 .0050786
> 12783.19
> --------------------------------------------------------------------------
> ----
> (Outcome m179==0 is the comparison group)
>
> . mlogit m180 fallrateall, rrr
>
> Iteration 0: log likelihood = -357.23299
> Iteration 1: log likelihood = -357.0605
> Iteration 2: log likelihood = -357.05925
> Iteration 3: log likelihood = -357.05925
>
> Multinomial regression Number of obs =
> 1140
> LR chi2(1) =
> 0.35
> Prob > chi2 =
> 0.5555
> Log likelihood = -357.05925 Pseudo R2 =
> 0.0005
>
> --------------------------------------------------------------------------
> ----
> m180 | RRR Std. Err. z P>|z| [95% Conf.
> Interval]
> -------------+------------------------------------------------------------
> ----
> 1 |
> fallrateall | .0529155 .2718481 -0.57 0.567 2.24e-06
> 1248.945
> --------------------------------------------------------------------------
> ----
> (Outcome m180==0 is the comparison group)
>
> . mlogit m181 fallrateall, rrr
>
> Iteration 0: log likelihood = -574.59306
> Iteration 1: log likelihood = -573.42724
> Iteration 2: log likelihood = -573.40905
> Iteration 3: log likelihood = -573.40905
>
> Multinomial regression Number of obs =
> 1140
> LR chi2(1) =
> 2.37
> Prob > chi2 =
> 0.1238
> Log likelihood = -573.40905 Pseudo R2 =
> 0.0021
>
> --------------------------------------------------------------------------
> ----
> m181 | RRR Std. Err. z P>|z| [95% Conf.
> Interval]
> -------------+------------------------------------------------------------
> ----
> 1 |
> fallrateall | .0031174 .0122738 -1.47 0.143 1.39e-06
> 7.000684
> --------------------------------------------------------------------------
> ----
> (Outcome m181==0 is the comparison group)
>
>
> *
> * 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:
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* http://www.ats.ucla.edu/stat/stata/
