Questions tagged [competing-risks]

In survival analysis when observation may be terminated or affected by a different event this is termed a competing risk.

In the simplest form of survival analysis there is just one event under study. If there is the possibility that other events may occur which either prevent the chosen event or at least modify the chances of observing it then the competing risk model is chosen. The model usually chosen is the Fine-Gray model.

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Parametric Competing Risk Survival Analysis - Exponential Distribution

I am familiar with the literature on nonparametric estimation of the cumulative incidence function under a competing risk model. I'm looking for the more basic solution under exponential distributions of failure time for the various competing…
Frank Harrell
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Is treating discharged patients as censored ok when using a cox proportional hazard model?

When analyzing the association of in-hospital death (the event) with various independent variables using a cox proportional hazard model, is it acceptable to treat as censored both: (i) the patients who are discharged, having been deemed healthy…
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Interpretation of model coefficients in competing risks model

I am fitting a subdistributional hazards model (Fine, Grey 1999) for multiple causes of death in a mortality incidence model following diagnosis of cancer. The researchers are interested in a nomogram, basically a type of risk prediction that allows…
AdamO
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Competing risks with left-truncation and right-censoring

Reading a paper "Cause-Specific Cumulative Incidence Estimation and the Fine and Gray Model Under Both Left Truncation and Right Censoring" Geskus (2011). I'm trying to implement the method and was wondering if anyone had any experience with it. I…
epp
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Multivariate survival with recurrent events and spikes back to 100% alive

I am trying to solve for what seems to be a multivariate survival model, but am getting stuck as there are both recurrent events and also jumps back to 100% alive. Rephrasing the larger project in everyday terminology: Assume the survival…
sheppa28
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Main effect required for time-varying covariate?

I'm modeling a multivariable proportional hazards model (competing risks), and I want to include an internal time-varying covariate. Should I include a main effect for this time-varying covariate in the model? (I'm not trying to test the…
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Survival Analysis with Multiple Events

Suppose we have a population $P$ that we are interested in. We want to track the onset of particular conditions (i.e. $A$, $B$ and $C$). Suppose that as blood pressure drops, these events occur. So $C$ is associated with a higher level drop of blood…
John
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Cox Proportional-Hazards Regression vs. Regression modeling of competing risk using Fine and Gray

30000 patients all have one diagnosis in common, 3000 of them have been exposed to a potential risk factor before the common diagnosis. 1500 patients develop a malignancy after the common diagnosis. Ratios of patients that developed a malignancy…
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Competing risk regression p value vs. cumulative incidence p value

I am using the "cmprsk" package in R to test whether risk of developing a disease is significantly different between 3 groups. I can see the crr() function produces a p value for the variables entered into the regression as well as odds ratios,…
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Add categorical variable in crr of package cmprsk

My magelastbirth_pctl is a categorical variable with 5 levels. I want to calculate the hazard ratio of the 4 last categories compared to the first categories using Fine and Gray competing risk model. This is easy to do with normal cox model using…
Meo
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estimate the pdf from mutually censored (competing) observations

Imagine we have three independent random variables, distributed according to pdfs $a(t), b(t), c(t)$, with cdfs $A(t), B(t), C(t)$. In my case the distributions are lognormal. However, our observations are not independent draws from these variables.…
Dan Stowell
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Generating cumulative incidence curve for competing risk model - assuming changing covariates

I am implementing a Fine & Gray competing risk model. The model includes covariates that are static for each person (e.g. location) as well as covariates that change over time (such as local unemployment rates). The issue I have is: how do you…
user35071
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Can I draw 1-CIF (Cumulative Incidence Function) as a survival curve?

I analyze survival data with competing risks. To me, the CIF is fine, but the researchers want to see how fast the survival falls, so they want the 1-CIF. They know it's NOT the Kaplan-Meier, it's a different analysis (cause specific, but with…
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how to estimate multi-state frailty models with comxe and coxph?

I aim at estimating a competing risks / multistate model with frailties with the coxme R-package and the survival package. I think that this is possible to do in the surivial package with the coxph function: # competing risks…
teeglaze
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How to account for competing events when using a logistic regression model?

I am creating a model to identify which factors predict two different recidivism outcomes (A)new arrest, or (B) return to prison in a group of people who parole, with equal time at risk (2 years). The outcomes of interest are A) arrested within two…
Julia
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