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5 votes
0 answers
310 views

Interval Censored Survival Analysis [duplicate]

I am conducting a study on neurological diseased patients. I am looking into possible factors related to time-to-dementia. Costs associated with neurological testing allow us to assess all patients in ...
Chris's user avatar
  • 973
5 votes
1 answer
5k views

Using the calibrate function in rms package for Cox model: use 'hare' method or 'KM'?

I'm creating a calibration plot for my breast cancer prognostic Cox model, which doesn't include any fancy transformations, using the calibrate() function in the <...
JJM's user avatar
  • 927
2 votes
1 answer
1k views

Simulation Analysis of a Cox Survival Model with Change Point.

I wish to simulate survival data for the following probabilistic model which will be analyzed using a Cox model: An exposure $X$ is modeled as binary having $X \sim_{iid} \mbox{Bernoulli}(p)$ where $...
anxoestevez's user avatar
1 vote
2 answers
478 views

Should I keep the interaction term?

I am doing research on mortality. I am running Cox regression and I am adjusting for 40 variables which are proven in the literature to be related with mortality. My main exposure is X. In my final ...
nani's user avatar
  • 13
1 vote
1 answer
2k views

Backward selection in a Cox regression model

My goal is to fit a cox regression model in SAS, for which I use the PROC PHREG statement. As I am still new to regression methods, I would appreciate a little of ...
karla's user avatar
  • 11
2 votes
1 answer
922 views

Which model should I use if I get different models using forward and backward Cox regression?

I am running an Cox regression with my data. In my final model I had four potential predictors and did first a forward (Wald method) Cox regression and then for validation of my model a backward (Wald ...
Chantal Michel's user avatar
9 votes
3 answers
17k views

Computing c-index for an external validation of a Cox PH model with R

First off, I'll state that I'm aware many questions get asked about the c-index. I've searched this site and others, and I haven't found an answer for my situation. I can successfully use ...
JJM's user avatar
  • 927
3 votes
2 answers
713 views

Interpreting Cox regression

My regression results are as follows. Variable B exp(B) age 0.004575 1.004586 capital 0.2250 1.2524 year -0.1026 0.9024 ...
mali's user avatar
  • 31
56 votes
5 answers
56k views

Prediction in Cox regression

I am doing a multivariate Cox regression, I have my significant independent variables and beta values. The model fits to my data very well. Now, I would like to use my model and predict the survival ...
Marja's user avatar
  • 563
4 votes
0 answers
736 views

How are absolute risks estimated by the Cox model? [duplicate]

According to my modest understanding, the Cox model is all about estimating hazard ratios, relative measures of risk. However, it is possible (in R using e.g. the packages ...
miura's user avatar
  • 3,814
20 votes
3 answers
19k views

Time dependent coefficients in R - how to do it?

Update: Sorry for another update but I've found some possible solutions with fractional polynomials and the competing risk-package that I need some help with. The problem I can't find an easy way to ...
Max Gordon's user avatar
  • 5,996
8 votes
2 answers
7k views

Cox model with LASSO

Rob Tibshirani propose to use lasso with Cox regression for variable selection in his 1997 paper "The lasso method for variable selection in the Cox model" published in Statistics In Medicine 16:385. ...
user avatar
38 votes
1 answer
14k views

Does Cox Regression have an underlying Poisson distribution?

Our small team was having a discussion and got stuck. Does anyone know whether Cox regression has an underlying Poisson distribution. We had a debate that maybe Cox regression with constant time at ...
Julie's user avatar
  • 563

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