prop.trend.test issue
At 13:46 03/12/2006, Ethan Johnsons wrote:
I don't find any other test avail for this? Am I missing something?
I do not want to seem unhelpful but the only response that springs to mind is a knowledge of statistics. I hope people's lives are not at stake with the results of your analysis
thx ej On 12/3/06, Michael Dewey <info at aghmed.fsnet.co.uk> wrote:
At 05:55 03/12/2006, Ethan Johnsons wrote:
I have the clinical study data.
Year 0 Year 3
Retinol (nmol/L) N Mean +-sd Mean +-sd
Vitamin A group 73 1.89+-0.36 2.06+-0.53
Trace group 57 1.83+-0.31 1.78+-0.30
where N is the number of male for the clinical study.
I want to test if the mean serum retinol has increased over 3 years
among subjects in the vitamin A group.
If you want to test means why did you think a test for proportions was a good idea?
1.89+0.36
[1] 2.25
1.89-0.36
[1] 1.53
2.06+0.53
[1] 2.59
2.06-0.53
[1] 1.53
prop.trend.test(c(2.25, 1.53),c( 2.59, 1.53))
Chi-squared Test for Trend in Proportions
data: c(2.25, 1.53) out of c(2.59, 1.53) ,
using scores: 1 2
X-squared = 0.2189, df = 1, p-value = 0.6399
The issue I am seeing that N of Vitamin A group = 73 seems not reflected.
This leads me to think that I can't implement the test based on the
data just presented.
Nor a two-tailed test is possible.
2-sample test for equality of proportions with continuity
correction
data: c(2.25, 1.53) out of c(2.59, 1.53) X-squared = 0, df = 1, p-value = 1 alternative hypothesis: two.sided 95 percent confidence interval: -0.6738203 0.4112720 sample estimates: prop 1 prop 2 0.8687259 1.0000000 Warning message: Chi-squared approximation may be incorrect in: prop.test(c(2.25, 1.53), c(2.59, 1.53)) Any ideas, please? thx ej
Michael Dewey http://www.aghmed.fsnet.co.uk
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Michael Dewey http://www.aghmed.fsnet.co.uk