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st: How to handle large (or small) odds ratios
From
Tim Evans <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
st: How to handle large (or small) odds ratios
Date
Fri, 18 May 2012 10:06:13 +0100
Hi all,
Not specifically a Stata question, however, I have run a series of logistic regressions (in Stata) comparing the effects of delay in treatment and a persons likelihood of dying within a given time period. I have exported the analysis in readiness to produce tables, but what I wanted to know is whether there is a convention for dealing with very large odds ratios when producing publication tables, in order to produce neat legible tables. Many of these large odds ratios are very significant. Any advice gratefully received.
Best wishes
Tim
Here is an example of my table:
Characteristic OR LCI UCI
Delay category
Not Delayed * 1.00
Delayed 1.12 0.47 2.67
Morphological Type
Adenomas and Adenocarcinomas 1.00
Squamous Cell 1.00 1.00 1.00
Cystic, Mucinous and Serous 5.01 0.87 29.05
Complex mixed and stromal 1.00 1.00E+00 1.00E+00
Other 1.69 0.57 5.06
Stage at diagnosis
Stage 1 1.00
Stage 2 4.75E+05 0.00E+00
Stage 3 1.00E+00 1.00E+00 1.00E+00
Stage 4 1.66E+06 0.00E+00
Unknown stage 3.65E+05 0.00E+00
Age at diagnosis (per year) *1.08 1.03 1.13
Deprivation quintile
Most deprived 1.00
More deprived 1.08 0.29 4.01
Average deprivation 1.32 0.41 4.24
Less deprived 1.18 0.35 3.94
Least deprived 1.41 0.39 5.05
Sex
Male *1.00
Female 0.37 0.15 0.92
Admission method
Elective 1.00
Emergency 1.31 0.45 3.78
Charlson combordity
0 **1.00
1 0.79 0.27 2.31
2 0.86 0.17 4.26
3 13.77 4.87 38.92
Diagnosis year
2006 1.00
2007 1.03 0.26 4.07
2008 1.24 0.33 4.59
2009 1.17 0.31 4.39
2010 1.04 0.30 3.65
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