Being a graduate in the domain of Public Administration where the curriculum mostly focused on theoretical discussions, I have started an extended academic journey in the field of 'Data'. Your video is so helpful. Helped me to easily understand the basic concept. Definitely, I will follow through. Thanks a lot! Best wishes.
In regards to the tooth fillings you would have to install the two types in the same mouth (person) for the study to be signficant. Otherwise mouth chemistry and other "confounders" might skew the results. You also have to have the same dentist do these fillings since there may be difference in the quality of the dentistry form one dentist to another.
if you want to know the mortality at 5 years, and persone A dies at 6 years and person B drops from the study at 3 years (so two years before your measuring point). And you make a table from this data: do you consider both data as censored? and what do you will in in the table? Should you fill in person A: No ( so it did not die at year 5) and for person B not fill anything ( so not Yes and not No)?
Mate, I found your question ambiguous. So, sorry, if this doesn't answer your Q. If question is to know how many will be alive in 5 years, then both the data points you mentioned would be part of analysis, since one passed away in 3 yrs (before the threshold) & the other after the threshold (6yrs). So, neither data point would be censored.
Hi @DATAtab , may i know why survival is focusing on predicting probability rather than a single value ? As per the definition survival outcome is to predict duration ( time to event ). Thanks