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1answer
73 views

How do you prepare longitudinal data for survival analysis?

I'm trying to plot a Kaplan-Meier curve of my data with R. Currently, the data is in the following format: ...
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0answers
36 views

projecting future survival rate

I'm working on a customer retention project that predicts the probability a customer is still subscribing to our services at time T. Unfortunately, we only have the most recent two years of customer ...
0
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0answers
22 views

calculation of 12 week PFS rate

what type of setup is needed to calculate 12 weeks PFS rate using Kaplan Meier method in SAS? Do we calculate PFS at 84 days and also the patients status? alive, dead, lost to follow-up. then what? ...
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0answers
38 views

High censoring rate in survival analysis

I have some data which I've analyzed using Kaplan Meier estimation. However, I have a gut feeling that this estimator is biased due to the high censoring rate in my data (nearly 50% censored at later ...
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0answers
79 views

KM curve: log rank test significant but HR crosses 1

Hello and thanks for this source about statistics. My Problem is about a situation where Kaplan Meier curves differ in meaning of a significant log rank test, but the hazard ratio crosses 1 when ...
3
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2answers
202 views

Kaplan-Meier p-values

I have breast cancer trial data where, for subgroups 1 and 2, two treatment arms are being compared. The results are: For subgroup 1, N=33, median survival in ...
3
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0answers
177 views

Basic questions about discrete time survival analysis

I am attempting to carry out a discrete time survival analysis using a logistic regression model, and I'm not sure I completely understand the process. I would greatly appreciate assistance with a ...
1
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1answer
222 views

Comparison of Cox models

I am new to statistics and SPSS v 20. I am doing survival analysis - KM and Cox regression with SPSS. I am trying to make Cox models with different variables - clinical, genetic etc. I am interested ...
2
votes
1answer
292 views

Is Cox regression analysis including demographic covariates required for observational studies instead of Kaplan-Meier?

I have been reading quite a few papers and recently have started analyzing some data on a review that I am doing. I am trying to examine the effect of two different treatment options on a group of ...
0
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1answer
659 views

How to get 1, 3 and 5 year KM survival for large database using SPSS?

I have large database of hundreds of thousands observations. When I used spss to analyze KM survival, it gave me mean and median survivals with 95 % confidence interval. However, I need 1-, 3- and 5- ...
5
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1answer
339 views

R packages (or SAS code) to produce two simultaneous Kaplan-Meier curves?

There's a way to do survival analysis of two (or more I suppose) mutually exclusive competing risks as a mixture of two different survival curves. Something like what you see in A.C. Ghani et al. ...
2
votes
2answers
770 views

Cumulative Incidence vs. Kaplan Meier to estimate probability of failure

To estimate the probability failure in medical sciences, it is not atypical to use 1-KM. However this does not account for competing risks, such as death by natural causes or causes unrelated with the ...
1
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0answers
143 views

Estimating a survival probability in R (2)

Following Brian Diggs's answer, I have tried to estimate some survival probability in R. However, the result is wrong (1 instead ...
1
vote
1answer
304 views

Estimating a survival probability in R

Based on a sample of $n$ survival times, I would like to estimate the probability of surviving time $t$, for some specific $t$, using the Kaplan-Meier estimator. Is it possible to do this in ...
2
votes
1answer
364 views

Floating Point Overflow while computing the Kaplan-Meier estimator in SAS

I try to estimate survival curves based on a Kaplan-Meier estimator using proc lifetest. However, SAS outputs an error message which I do not manage to circumvent. ...