I would like to ask how to deal with new entries of individuals in Survival Analysis.
I have a study about the time to event of several individuals who suffer from a disease. The study starts on a specified date (let's assume 1/1/2019). The individuals on this date are 50. The study lasts 6 months. In these 6 months, more individuals must be included but they were not present on the starting date.
I have not any left censoring because, for the new individuals, the time they enter the study, is the time the symptoms appeared.
How should I deal with this late entry in the study?
I repeat the fact that, the date they enter, coincides with the manifestation of the disease.
We can imagine the individuals as patients if that makes things easier.
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$\begingroup$ By new entries do you mean new type of categories in your data? $\endgroup$– spectreCommented Dec 5, 2021 at 12:45
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$\begingroup$ No. I mean new individuals. We can assume new patients that took part in the study later than the starting date. $\endgroup$– gbarelCommented Dec 5, 2021 at 15:47
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$\begingroup$ And what is your purpose of this analysis? Is it a classification/regression problem? $\endgroup$– spectreCommented Dec 5, 2021 at 15:56
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$\begingroup$ Survival Analysis problem. Kaplan Meier estimation $\endgroup$– gbarelCommented Dec 5, 2021 at 16:00
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$\begingroup$ Calculate times from entry into the study. (It's actually the people who already had the disease at the initiation of the study who are "left-censored".) The "survival" package functions are set up to handle interval data. $\endgroup$– 42-Commented Jun 27, 2022 at 23:36
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