| To: | s-news@lists.biostat.wustl.edu |
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| Subject: | ANOVA or what? |
| From: | Kamil Toth <kamiltoth@yahoo.com> |
| Date: | Mon, 22 Jan 2007 10:00:49 -0800 (PST) |
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Folks: I need an urgent help. I need to analyze the dataset in the field that sort of new to me, but I am sure is fairly transparent for many of you, bio-statistical and epidemiological gurus. I have two data sets which we will call "treatment" and "control". Each of them contains 24 data points subdivided into four categories called: "weak", "mild", "moderate", "strong". There is no quantitative measure associated with these names but they assumed to be ordered. There are 6 (unordered) replicates in each of theses categories. I need to estimate the effect of treatment vs control. I understand that there are many approaches possible (I thought about ANOVA, logistic regression,...). In the situation I currently find myself now, the preference would be toward method which is readily available in S-PLUS, and easy to interpret: first I need to understand myself what I am doing and then to
clearly explain to non-statistical people. What would you, smart people, recommend? Looking forward for an advise, examples, references, ideas. Thanks Kamil Toth
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