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2 votes
0 answers
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Parametric modelling of customer lifetime value using survival (Cox) analysis

I have half a year long data of purchases in e-commerce site (100K purchases by 60K customers). In simplest A/B testing framework random customers got a discount on the next purchase after order ...
RInatM's user avatar
  • 173
18 votes
2 answers
42k views

How to estimate baseline hazard function in Cox Model with R

I need to estimate baseline hazard function $\lambda_0(t)$ in a time dependent Cox model $\lambda(t) = \lambda_0(t) \exp(Z(t)'\beta)$ While I took Survival course, I remember that the direct ...
elong's user avatar
  • 351
10 votes
2 answers
25k views

coxph ran out of iterations and did not converge

Yes, I have checked that previous answers to "Ran out of iterations..." questions do not solve my problem. I have fault data on Firefox, 899 faults and 1395 (estimated) censored faults. The ...
Derek Jones's user avatar
3 votes
2 answers
2k views

How do you get p-values for predictors in a Cox regression analysis in R?

I am running a Cox regression analysis in R where both my predictors are binary (Animal_Number: single vs. paired; and Treatment:...
Chris_P's user avatar
  • 81
1 vote
0 answers
907 views

Cross validation and computing c index

I have seen the discussion in the page Computing c-index for an external validation of a Cox PH model with R. I am doing almost the same thing, using 3-fold sampling (with two thirds in the training ...
user28298's user avatar
7 votes
1 answer
3k views

Get a desired percentage of censored observations in a simulation of Cox PH Model

This question comes from: How to simulate a Cox proportional hazards model with change point and code it in R (See answer) I want to generate a censoring variable $C=Exponential(\theta)$ that create ...
anxoestevez's user avatar
6 votes
1 answer
3k views

How to simulate a Cox proportional hazards model with change point and code it in R

I have a model that has the following characteristics: The covariate $X$ follows a $Be(1/3)$. If $X=0$, survival time $Y$ follows an $E=Exponential (1)$. If $X=1$, survival time $Y$ is generated as $...
anxoestevez's user avatar
2 votes
2 answers
896 views

R package (relaxed lasso for Cox's proportional hazards model)

Is there any R package to implement relaxed lasso for Cox's proportional hazards model? Thank you.
Jenny's user avatar
  • 101
4 votes
1 answer
2k views

Problem with BootCV for coxph in pec after feature selection with glmnet (lasso)

I am attempting to evaluate the prediction error of a coxph model that was built after feature selection with glmnet. In the preprocessing stage I used na.omit (dataset) to remove NAs. I ...
user2387584's user avatar
3 votes
2 answers
7k views

R's coxph won't converge when I include factor (categorical) variables

I have a dataset of 371 observations. When I run coxph with numeric variables it works fine. However, when I try to add factor (categorical) variables it returns “...
user2387584's user avatar
9 votes
2 answers
2k views

Large scale Cox regression with R (Big Data)

I am trying to run a Cox regression on a sample 2,000,000 row dataset as follows using only R. This is a direct translation of a PHREG in SAS. The sample is representative of the structure of the ...
xbsd's user avatar
  • 805
2 votes
0 answers
130 views

Extended Cox-model with ancillary variable

I have survival data (coming from a labor market) looking like this ...
Marcel's user avatar
  • 349
8 votes
1 answer
18k views

Test Cox proportional hazard assumption (Bad Schoenfeld residuals)

Using R I generated a Cox model looking like this ...
Marcel's user avatar
  • 349
3 votes
1 answer
3k views

Extended Cox model with continuous time dependent covariate - how to structure data?

I need to run an extended Cox model with a time-varying covariate in R: let’s call it the "number of doses" (X). I am interested in the hazard ratio associated ...
xanadis's user avatar
  • 31
3 votes
0 answers
1k views

How to interpret the frailty terms in a coxph.penal model?

I have the following coxph model: Surv(Y) ~ genotype + treatment + age + frailty(batch) + genotype:frailty(batch) ...
f1r3br4nd's user avatar
  • 2,374
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
4 votes
0 answers
1k views

Cox proportional hazards with time-dependent covariates: predict in R

I would like to use the predict function (or something similar) in R to generate expected values from a Cox proportional hazards model with time-dependent covariates. The model takes the form ...
SMM's user avatar
  • 41
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
2 votes
2 answers
477 views

Can you use proportions as a covariate in a Cox proportional hazards model?

In R's survival::coxph function, can I mix a covariate representing proportions (in the range 0.0-0.5) with an integer covariate (in the range 1-15), or should I ...
Diego Bilski's user avatar
11 votes
2 answers
4k views

Propensity score weighting in Cox PH analysis and covariate selection

Regarding propensity score weighting (IPTW) when doing Cox proportional hazard modeling of time-to-event survival data: I have prospective registry data where we're interested in looking at treatment ...
Kjetil Loland's user avatar
4 votes
1 answer
3k views

Cross-validation of a Cox model

I have a medical background, with absolutely no knowledge about programming. I am working on survival analysis. I have fitted a multivariate Cox model which I need to cross-validate. My questions are: ...
Deepti's user avatar
  • 69
1 vote
0 answers
1k views

Bootstrap randomized Lasso selection for a Cox model

I'm interested in variable selection for a cox proportional hazards model. I've read this article which slightly favours randomized bootstrap lasso selection over bootstrap lasso selection since it ...
Kjetil's user avatar
  • 11
21 votes
1 answer
26k views

Cox baseline hazard

Let's say I have a "kidney catheter" data set. I'm trying to model a survival curve using a Cox model. If I consider a Cox model: $$h(t,Z) = h_0 \exp(b'Z),$$ I need the estimate of the baseline hazard....
Dihan's user avatar
  • 337
10 votes
2 answers
7k views

Using multiple imputation for Cox proportional hazards, then validating with rms package?

I've been researching the mice package, and I haven't yet discovered a way to use the multiple imputations to make a Cox model, then validate that model with the rms package's ...
JJM's user avatar
  • 927
6 votes
1 answer
2k views

EM algorithm R code on Cox PH model with frailty

Let say I have a 'kidney catheter' data set. Data are about the recurrence times to infection, at the point of insertion of the catheter, for kidney patients using portable dialysis equipment. ...
Dihan's user avatar
  • 337
12 votes
2 answers
7k views

Interval censored Cox proportional hazards model in R

Given interval censored survival times, how do I perform an interval censored Cox PH model in R? An rseek search turns up the package ...
wcampbell's user avatar
  • 2,217
16 votes
1 answer
4k views

How to generate predicted survivor curves from frailty models (using R coxph)?

I want to compute predicted survivor function for a Cox proportional hazards model with frailty terms [using survival package]. It appears that when frailty terms are in the model, the predicted ...
ledzep's user avatar
  • 339
4 votes
1 answer
2k views

Creating formula object for coxph()

I am trying to create the formula object for coxph() manually, as I want to reproduce it in RSRuby. Note that the response variable needs to be a ...
user14180's user avatar
15 votes
3 answers
2k views

What are the options in proportional hazard regression model when Schoenfeld residuals are not good?

I am doing a Cox proportional hazards regression in R using coxph, which includes many variables. The Martingale residuals look great, and the Schoenfeld residuals ...
jeffalstott's user avatar
5 votes
1 answer
567 views

Proportional hazard ratio formula in R

I'm new proportional hazard ratio models and new-ish to R, so I suspect this is a basic question: The scenario is modeling the speed of an effect through hazard ratios. People are joining an ...
jeffalstott's user avatar
8 votes
1 answer
4k views

How important is using the exact method for ties in a Cox model, and how long should this take?

I'm analyzing the results of some simulation work using a Cox proportional hazard model, and I have what I perceive are a great many ties in the data, representing when a particular individual in the ...
Fomite's user avatar
  • 23.7k
9 votes
1 answer
11k views

Cox proportional hazard model and interpretation of coefficients when higher case interaction is involved

Here is the summary-output of the Coxph-model I used (I used R and the output is based on the best final model i.e. all significant explanatory variables and their interactions are included): ...
Unna's user avatar
  • 91
20 votes
2 answers
10k views

What is the "$R^2$" value given in the summary of a coxph model in R

What is the $R^2$ value given in the summary of a coxph model in R? For example, Rsquare= 0.186 (max possible= 0.991 ) I foolishly included it a manuscript as ...
danielsbrewer's user avatar
8 votes
1 answer
15k views

Difference between survdiff log-rank and coxph log-rank

I'm using the survival package in R to analyze clinical data. I am analyzing two different groups of patients, when I calculate survdiff in order to compare the curves, I got p= 0.135, but when I ...
ToniG's user avatar
  • 125
12 votes
2 answers
20k views

How to calculate predicted hazard rates from a Cox PH model?

I have the following Cox PH model: (Time, Event) ~ X + Y + Z I would like to get the predicted hazard rates (i am talking about hazard rates NOT hazard ratios) given specific values of ...
nostock's user avatar
  • 1,517
16 votes
2 answers
22k views

Interpretation and validation of a Cox proportional hazards regression model using R in plain English

Can someone explain my Cox model to me in plain English? I fitted the following Cox regression model to all of my data using the cph function. My data are saved ...
Alexander's user avatar
  • 2,140
5 votes
1 answer
6k views

Discrimination and calibration of Cox model

I have been working on fitting Cox model for prediction by using the rms package. I want to measure model calibration and discrimination. Discrimination was measured by using ...
cmh's user avatar
  • 101
11 votes
1 answer
15k views

Different prediction plot from survival coxph and rms cph

I've created my own slightly enhanced version of the termplot that I use in this example, you can find it here. I've previously posted on SO but the more I think about it I believe that this probably ...
Max Gordon's user avatar
  • 5,996
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
7 votes
2 answers
11k views

How to understand the plotting of the cox.zph function in R?

I use a Cox proportional hazard model (coxph()) which gives me HR of about 2.9 for presence of factor B (factors can be A, B, C, A as baseline in the model), with ...
user6143's user avatar
5 votes
2 answers
1k views

How to handle irregular interval censoring in a Cox model in R or Stata

I'm trying to model a weekly process of adoption (adoption events could only occur on Fridays) using the coxph function, but a large quantity of observations are ...
Griffith Rees's user avatar
6 votes
2 answers
4k views

How to get convergence using coxph (R) given that model converges using proc phreg (SAS)

I have a data set ...
ocram's user avatar
  • 22.4k
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. ...
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