survival

hi, let assume I have a survival function, given as a solution from a continuous model. To be precise, the cumulative hazard is calculated, Ch(t), and then S(t) = exp(-Ch(t)). How would you simulate a Kaplan-Meier plot based on this? Here, the so called clinical trial simulation is performed...

Hello everyone... despite my a little knowledge in survival analysis and its available models.... I have the following question: What I know that Cox models offer a hazard function, with the assumption of proportionality of the hazard for different studied subjects. The frailty component...

hi everyone! thanks in advance for your help! i'm studying whether the presence of high v. low hormone levels (of several different hormones) affects survival - i assume that i am to use kaplan-meier to analyze the data rather than cox regression. i am also not sure how to get SPSS to...

Hi, I've conducted a kaplan-meier survival plot relating the event (death), to time (varying follow-up times around 2 years). The output has shown me a mean, and median survival time with confidence intervals. I'd like to represent my findings as "expected" survival at 1 and 5 years. How...

I have a dataset of cancer cases from 1997 to 2007. I am performing a Cox Model on this set of cases. However, I just realized that mortality rates and the raw number of deaths are decreasing. Does anyone have an opinion as to whether a non-constant death rate over time will violate any Cox...

THE SITUATION: I am preparing a 420,008 observation Cox Proportional Hazards Regression model with 4001 indicator variables. The 4001st indicator is my baseline. I am using STATA to accomplish this task, but STATA/IC's maximum number of indicators it can generate is set at 2000. Further, the...

I am generally a SAS user, I had a general question concerning how to fit survival models using age as the time scale within R. Would this fit be appropriate and also control for the left-truncated nature of the data? I know in SAS you need to specify a specific option. I was just...