Hi Team,
I have something like shown below,'
Type of Case
CaseA CaseB CaseC
Diabetes N= N= N=
Y
N
AIDS
Y
N
Headache
Y
N
Fever
Y
N
I did a contingency table of :
Diabetes with Cases
Aids with Cases
Headache with Cases
Fever with Cases
Found that the p-values are significant for a couple of them(less than 0.05)
What is the meaning of that statistically?
Also how to do a regression analysis....How do I proceed from there???
Any help is highly appreciated
Regards
Whenever a p value is less than 0.05, this indicates that the quantity being tested is statistically significant (at the alpha=0.05 level). In layman's terms, this particular arrangement of data that is tested was unlikely to have happened by random chance, it is probably a "real" effect.
You cannot do regression on this data. You need to have continuous X and continuous Y to do a regression.
Thanks for the reply.
Could you also provide me with the basics for understanding Logistic Regression ??
Thanks
Logistic regression is appropriate when you have a continuous X variable, and a categorical Y variable.
For example, if X is temperature, and Y is pass/fail status.
Among other things, logistic regression will compute the probability that you get a pass (or a fail) at a given temperature.
You've completed what's known as univariate analysis on your data, checking the category of one variable against others one at a time.
It sounds like you're looking to move on to the multivariate stage, looking at multiple variables together, and relationships between them.
The appropriate multivariate model depends on what your research question/hypothesis is and the structure of your data.
As you've shown all categorical data, my guess is a log-linear model, but that's a GUESS.
Hi,
I am trying to study the problems associated with the type of surgery done.
when i use a particular type of surgery what effect/problem it is creating???
Regards
So your outcome is an indicator if a patient has a problem?
For me at least I'd need more of an explanation of your data and what you were looking to answer.
I'd say consult with a statistician (possibly a biostatistician) now .There really are too many things that would need to be considered and I've seen too many bad medical publications to help produce one.
Your local university probably has a consulting services that will be free of charge or low cost.
P value less than 0.05 is statistical significant if your possibility of committing the first mistake is .05 .
That means your H0 hypothesis (Type of Case and Headache are independent ) is not right.
.05 discover there are some correlation between Type of Case and Headache .
I recommend you also use corresponding analysis to check this relation more .
Ksharp
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.