On 7-May-2004, [EMAIL PROTECTED] (Donald Burrill) wrote: > Which refers both to "cancelled customers" and to "customers who are > still with us". One may have an ending date for the current > subscription; but until the customer decides to renew (or to cancel) > one does not know whether the subscription will in fact end on that > date. Sounds like survival analysis to me.
How do you propose to handle the categorical variables with survival analysis? (See note which follows.) > No. AJ explicitly writes "66 categorical VALUES" It is very common for people to interchange the terms values and variables. Later in the same paragraph he said "variables such as what kind of car a customer drives, how much she is educated, or how much she earns etc." Note VARIABLES. I believe that each customer has 66 VALUES in the record -- one for each VARIABLE. You don't think that there is one variable that has measures for type of car, educational level and income, do you? If AJ is following this thread, maybe he can clarify this issue. For the point of the discussion, let's assume there are 66 variables, some of which are categorical. Let's also assume that some of the categorical variables have a large number of classes (e.g., type of car). If that is the case, then how would you tackle this with survival analysis? -- Phil Sherrod (phil.sherrod 'at' sandh.com) http://www.dtreg.com (decision tree modeling) http://www.nlreg.com (nonlinear regression) . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
