SAS Statistical Procedures | Forum profile

The SAS Power and Sample Size procedures will do that. There is a nice interface in 9.2. You can also use Russ Lenth's web site ( http://www.stat.uiowa.edu/~rlenth/Power/ ). The sample size computation for a matched case-control study can be done with a one-sample test where the effect-size is the difference between the two groups. Doc Muhlbaier Duke

You don't provide all relevant information to answer your question. For instance, are there any parameters in F(w,x,y,z) or g(w) which need to be estimated? Or are F(w,x,y,z) and g(w) specified a priori so that all you need to do is estimate a1, a2, a3, and a4? Also, would it be prudent to include an intercept in your model so that you estimate F(w,x,y,z) = a0 + (a1*g(w)) + (a2*x) + (a3*y) + (a4*z) And too, can we assume that the...

1. All values of g(w) will be known a priori, and the F(w,x,y,z) will be known (for a very large number of specific {w, x, y, z} combinations) as they are the results of the "observations" we're making. 2. Yes, we should probably calculate the intercept value, a0, as well. 3. Yes, I have been assuming the residuals are normally distributed. Thanks!

Hi You can't have both BY LEVEL and LEVEL in your model statement. That would lead to an error, because you would be stratifying on the variable you are trying to model. You could do the same thing only without the BY statement, or you could do a PROC FREQ with a BY STATEMENT HTH Peter

Hi: I'm not sure what you mean by selecting entries...do you want a report (such as from PROC PRINT) or a dataset (such as from PROC SQL)??? If all you want is a report, you could use a WHERE clause in PROC PRINT. Something like this (assumes that date1 and date2 are numeric variables in the SAS dataset): proc print data=lib.data; title 'Use WHERE clause for selection'; where 10 between month(date1) and month(date2) and...

thx cythnia!! actually, proc print or data selection is okay, the dataset may be like this N Date1 Date2 Value 1 21Jan2009 22Feb2009 5 2 21Jan2009 22Mar2009 6 3 21May2009 22Nov2009 9 * 4 21Oct2009 22Oct2009 34 * 5 21Jan2009 22June2009 6 6 3 Mar 2005 22Oct2009 3 * 7 3 Mar 2007 31Dec2999 2 * then i want to select records with any dates in October 2009 fall into Date 1 and Date2 after i rethink about this scenario, i think if date1 =...

That is exactly what I am looking for. I only have 2 years of good data (8 quarters) which I know is a problem (not enough data!) I would like to know that when xxx=12 it is "ok" and when xxx=345 is it not (or whatever) based on the previous set of data for that measure.

I tried to use proc transreg to do a conjoint analysis. Due to the design problem, I have to fit the model without the intercept. I tried below code: proc transreg data=test1 utilities short; model identity(y) = class(f1 f2 f3 / zero=sum)/noint; output out=test2; run; It always had below note in SAS log: NOTE: NOINT is only valid when there is no implicit intercept and when no variables are iteratively transformed. NOTE: The NOINT option will...

Hello. I'm wondering if modeling the residual spatial structure for a binary response using these PROCs is "appropriate." Want to use Moran's I to test (under random assumption) for spatial autocorrelation in a binary response, modeled as a function of covariates + trend surface. Any thoughts would be appreciated. Cheers!

I would like to combine data from a series ( 7 seasons) of experiments that have a split plot design with nitrogen fertilization as main plot and genotypes as subplots. Therefore I have to check homogeneity of variances for error A and error B. I have preformed the individual anovas model 1 fixed effects, for each experiment and used Bartlett?s test. But I would like to use Levene?s test being this test less sensible to departures from...