Cox Regression - time dependent

Dear all,

I have a question regarding the cox regression.

I have conducted a dataset with Top50 Boxoffice Data for the U.S market. It contains data on how long a movie has been in the Top50, and I am interested in the survival rates of movies in the Top50. As my data begins in 2000 and ends in 2015, some things have changed in the movie exhibition, especially the digitalization of cinemas, and I want to test if this had any impact on the survival rates. Therefore I want to do a Cox Regression, but I am not sure how to perform it, as not every movie started at the same moment.
I have also a continous monthly variable on the measure of digitalization of theaters, which I want to fit in the regression as I am interested if digitalization had any impact on the survival rate. I did a screenshot of my dataset which can be seen here:

So my question is how can I perform a Cox analysis which is dependent on different starting times and measures of digitalization in cinemas?

thanks in advance,

best Martin


TS Contributor
Here is a silly example of two films, one starting a month after the first. In order to include time varying covariates you add a row for each time unit where one of the variables changes:

film date     died  digitalization
1    2000m1 0     .4
1    2000m2 0     .6
1    2000m3 0     .5
1    2000m4 1     .7
2    2000m2 0     .6
2    2000m3 0     .5
2    2000m4 0     .7
2    2000m5 0     .8
2    2000m6 1     .9
You will need to tell your favourite piece of software which rows belong together, but the details there depend on what software you want to use.
Thanks for your response.
For simplicity, because most films just run a few weeks and within the weeks digitalization did not change significantly, I chose to aggregate my data so I just have single observations for every movie.

So more or less I just create a time variable as you did in the example, and run the normal Cox regression with time and digitalization as categorial covariates? Am I right with this assumption? I am using SPSS!

thanks in advance! :)


Omega Contributor
When they start shouldn't matter, like in traditional Cox Reg. The time dependent digitalization can be incorporated as a binary variable present for each observation. You should be able to find examples. The use of a time dependent variable as a binary repeated measure collected at every time observation is fairly common. Otherwise Maarten my be on track for you.

Now, you may be able to find the average effect perhaps, but I wonder about how each movie can affect the success of the other movies. So if everyone is going to movie X they may not go to movie Y. Does this matter for what you are testing. This interference, can be an issue in my projects.