[R] Using t tests
Greg.Snow at imail.org
Fri Jul 8 17:43:42 CEST 2011
How are you measuring length of stay? A chi-square test suggests that you have it categorized, a t-test assumes it is continuous (and relatively symmetric with the amount depending on sample size).
Do you have any censoring? (patients dying or transferring before discharge) if so you should look at survival analysis.
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Gwanmesia at aol.com
Sent: Friday, July 08, 2011 3:23 AM
To: r-help at r-project.org
Subject: [R] Using t tests
I am doing some work on a population of patients. About half of them are
admitted into hospital with albumin levels less than 33. The other half have
albumin levels greater than 33, so I stratify them into 2 groups, x and y
I suspect that the average length of stay in hospital for the group of
patients (x) with albumin levels less than 33 is greater than those with
albumin levels greater than 33 (y).
What command function do I use (assuming that I will be using the chi
square test) to show that the length of stay in hospital of those in group x is
statistically significantly different from those in group y?
I look forward to your thoughts.
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