topic Re: Statistical significant change in median age over time in Statistical Procedures

Statistical significant change in median age over time

kewong — Thu, 19 Dec 2013 16:27:44 GMT

Hi everyone,

I am hoping to get your expertise on showing whether the change in median age over time is statistically different.

For example, here is what my data looks like:

Year	2000	2001	2002	2003	2004	2005	2006
Median Age	20	22	19	26	23	24	29

I would appreciate any help! What statistical test should I use and please advise on the corresponding SAS code.

Many thanks!

Re: Statistical significant change in median age over time

SteveDenham — Thu, 19 Dec 2013 17:31:07 GMT

With only this data, I think the first statistical test you might look at is whether there is a significant trend in the data, using linear regression. Without the raw data or error estimates at each time point, I don't see any other way to attack this. Any of the modeling procedures (REG, GLM, MIXED, GENMOD, GLIMMIX, HPMIXED, CALIS) could do this.

data have;

input year med_age;

datalines;

2000 20

2001 22

2002 19

2003 26

2004 23

2005 24

2006 29

;

proc reg data=have;

model med_age=year;

run;

This should get you started.

Steve Denham

Re: Statistical significant change in median age over time

LexE — Mon, 13 Aug 2018 15:05:24 GMT

Hi Steve,

I have a question that is similar to the one asked in this thread, but in my data, I have the raw data (and can therefore compute the error estimates) for each time point. In this case, what is the best way to analyze the median change over time?

For some context (and to help you better understand my question), I have a dataset with participants with seizures and want to see if their weekly seizure count (which is actually often a decimal, so not pure "count" data) decreases over the course of therapy. Because average weekly seizures is not normal, I would like to use medians to see if there is a decrease over time. I have the data for each individual without any missing data. My sample size is fairly small. What do you suggest?

-LexE