Displaying 3 results from an estimated 3 matches for "lower95ci".
2010 Oct 20
2
CI using ci.numeric
...and find the 99% and 95% CI, they seem too narrow to me. Am I doing something wrong?? The IQR goes from -0.62 to 0.62, so I thought the CI limits should be more extreme than these values.
x<- rnorm(200,0,1)
ci.numeric(x=mean(x),n=200,sds=sd(x),alpha=0.05)
n mean sd se lower95ci upper95ci
1 200 -0.07129813 1.015668 0.07181859 -0.2129213 0.0703250
ci.numeric(x=mean(x),n=200,sds=sd(x),alpha=0.01)
n mean sd se lower99ci upper99ci
200 -0.07129813 1.015668 0.07181859 -0.2580811 0.1154848
quantile(x)
0% 25% 50% 75%...
2012 May 15
0
Ordinal Logistic regression
...convert this to OR's ( using the Epicalc package) here is the problem I have with the variable "Employment[T.fulltime]" which is significant ,but has too wide a confidence interval. How would I interpret this ?
ordinal.or.display(OrdRegModel.5)
Ordinal OR lower95ci upper95ci P value
Employment[T.Parttime] 0.777 0.496 1.217 1.36e-01
Employment[T.fulltime] 0.642 0.395 1.045 3.78e-02
Russell " Skip" Barbour Ph.D.
Associate Director for Statistics
Center for Interdisciplinary Research on AIDS
Yale School of Medicine
135...
2011 Dec 13
8
How to compute 95%CI for OR from logistic regression?
Hi all:
My data has 3 variables:
age(3levels : <30y=1 30-50y=2, >50y=3)
gender(Male=0, Female=1)
CD4 cell count(raw lab measurement)
y(1:death 0:alive)
I perform logistic regression to find out the factors that influence y.
result<-glm(y ~ factor(age) + factor(gender) + CD4,family = binomial)
>From the result,I can get OR(Odds Ratio) of gender via exp(Estimate of Female,