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Questions tagged [competing-risks]

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

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Competing Risk Analysis without censoring

In our study we are interested how the presence of a set of diseases (le'ts call it "cause_disease", with the levels a, b, c, and d) effects what other diseases patients will develop in ...
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Competing Risks that are not mutually exclusive in Survival Analysis

I have 5 type of events that a subject can experience. However, not all these events are competing with each other: For the events A, B, C, D, E; occurrence of A blocks B from happening. B, D and E ...
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Is this non-mathematical interpretation of cause-specific vs subdistribution hazards sensible?

I am interested in estimating the risk of readmissions accounting for the competing risk of death. I would like to explain both types of models to people with a basic understanding of statistics. ...
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CIF vs 1-Kaplan-Meier

I have a dataset where 35.3% of patients are being censored (mostly at the end of follow-up period), 52.1% have event (mostly at the beginning with few events afterwards) and 12.6% have competing ...
Kate's user avatar
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How to handle time to event data when there is a competing risk with very low incidence rate

I'm analysing time to event data. The primary outcome is time to discharge, and there is a competing risk of death. A competing risk model seems appropriate, but I was wondering if this still applies ...
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How to include drug exposure periods in a time to event analysis?

I'm finding it difficult to settle on a method in the literature on how to deal with exposure time of being on a drug(s) (or not) on a future outcome. Let's say my outcome is death and I have ...
brucezepplin's user avatar
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Can Cox or Fine-Gray model include exposure that occurs during observation?

I'm making a Fine-Gray model about pregnancy, but I notice that some pregnancy complications may occur during the observation instead of at the beginning of it because those complications are often ...
黑月盟月's user avatar
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Apply a method for competing risks with the propensity score IPTW weights

I have a data in which I have to apply a competing risk. 4 variables: Temps_Competing_Descompensacio: the time to event. Competing_Descompensacio: factor variable to identifie the event, censored, ...
Óscar Arrabal's user avatar
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Non-linear effects (rc splines) in competing risk regression

I use the {tidycmprsk} package to fit competing risk regression models (death/transplantation as competing risk). E.g.: ...
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How can I assess internal validation (discrimination, calibration) of a Fine-and-Gray competing risk model, fitted using a MFP-algoritm in Stata?

I'm a post-doc at Karolinska Institute, and I'm working on developing a Fine-and-Gray competing risk model to predict endometrial cancer recurrence/progression with death as a competing event. I have ...
Rasmus Green's user avatar
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Determining the probability that a competing event will eventually occur

How does one determine the probability that an event will eventually occur given competing risks? Given the following state machine, I am trying to determine the probability that an observation in ...
JoeBass's user avatar
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Is there a way to do competing risk regression where you can specify entry and exit?

I would like to do competing risk regression with attained age as time scale. People enter the analyses at an age that is 5 years after their disease diagnosis and exit at the end of follow-up. For ...
Jop's user avatar
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Using weights in prognostic models of Survival Analysis data

I have a dataset where I'm comparing Survival (overall and cancer-specific survival) between two treatment groups (Surgery vs. Radiation) for prostate cancer. As suggested by Noordzij et al (PMID ...
Uro_Star's user avatar
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After creating a weighted dataset using IPTW, can we use the same covariates again during regression in Survival analysis? [duplicate]

I'm conducting an observational study between two non-randomised treatment groups. I plan to balance the two using IPTW (inverse probability of treatment weighting). I'll be using some covariates (...
Uro_Star's user avatar
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Is there a way to do multiple comparisons of cumulative incidence curves? [closed]

I have a plot with 5 cumulative incidence curves and I want to know which curves are different from each other. Right now I have a p-value from Gray’s test (p<0.001), which tests all the curves at ...
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Detailed Output of a cumulative incidence function in R [closed]

I will preface this by saying I am not a trained statistician, so please be gentle. I am using R to construct a cumulative incidence function curve for a single-arm evaluation at multiple timepoints ...
wbaker0621's user avatar
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Survival analysis vs Cumulative incidence vc Incidence rate for cohort with varying baseline dates

Research question: I am interested in analyzing in R whether people with a specific level (out of four levels) of a blood parameter BP have a higher risk for developing a specific disease D. A ...
Canicash's user avatar
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How to properly order outcomes in tidycmprsk subdistribution hazard (crr)?

This feels like a naive question, but I am a bit confused by the documentation and vignettes that I have found for tidycmprsk and the instructions I have been given for my exercise. I am trying to ...
womy's user avatar
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1 answer
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Measuring the association of a variable with 2 different survival outcomes

I have survival data for a cohort of patients and the outcome is either cardiovascular or non-CV death. I wish to assess whether some variables make it so that the patient is more likely do die from ...
Eduardo Moreira's user avatar
3 votes
1 answer
51 views

Cumulative Incidence Function given no event before time $t_d$

Suppose we have a simple competing risks model and have a calculated $CIF_K$ for two events $\{k_1, k_2\} \in K$. By definition $CIF_{k_1}(t_i)$ gives us the probability that event $k_1$ has occurred ...
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How to interpret a positive coefficient in a competing risks survival analysis?

I am trying to interpret the results of a competing risks survival analysis. I am interested in understanding the effect of the variable party on the risk of a ...
w5698's user avatar
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How to interpret the coefficient on a covariate in a competing risks survival analysis model?

Consider the results of a competing risks survival analysis model published in a journal. The model examines the relationship between legislatures and coups. Legislature, the main explanatory variable,...
w5698's user avatar
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Can mixed survival models using coxme() incorporate competing risks?

I am running a two-level survival models with hospital admission over a 1-year period as the outcome. Age, and sex are individual level and unique to each person's id, and area socioeconomic status (...
user19890826's user avatar
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70 views

Cumulative incidence under competing risks: cannot infer event free survival?

Suppose one had performed a competing risk analysis and the 10 year cumulative incidence for the event of interest is 60%. Am I correct in thinking that we CANNOT conclude that the event-free survival ...
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Simulate competing risks

I am trying to simulate competing risks data for a power analysis. Based on historical data, we know that after 12 months: 40% had experienced the event of interest 20% had experienced the competing ...
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1 vote
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Definition of rare event in competing risk

I want to define rare event in competing risk. How many percent of the event must exist to be able to say that the event is rare? It can be said based on the EPV. But if the occurrence of the event is ...
user390812's user avatar
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1 answer
60 views

Defining states in Multi-State model

I am looking to build a multi state model some packages for instance in R are for panel or intermittently observed data (msm ...
te time's user avatar
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2 votes
1 answer
34 views

A survival model with multiple concomitant survival events

I would like to know if there is a statistical model to analyze my problem: I want to test if the location of the tumor is related to the level of a particular biomarker A patient may have multiple ...
Flora Grappelli's user avatar
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1 answer
27 views

Competing Events - does they have a role when looking at cause-specific mortality?

I have a question on how to account theoretically for the risk of competing event in a specific setting. Suppose we have a cohort of patients at high risk of both infection-related mortality and non-...
user89547235's user avatar
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51 views

Can 'oversampling' techniques be used for survival analysis of competing risks?

I have a sample of cancer patients, of whom 41% died due to the cancer and only 9% died from competing events. So the number of deaths due competing events is fewer than the number of deaths due to ...
Anchita Goswami's user avatar
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Subdistribution hazard ratios: incidence of different events

As I understand it, the subdistribution hazard model gives hazard ratios which tell you the direction of the effect of a covariate on the event occurrence, as defined in the paper below. If the SD ...
user352188's user avatar
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289 views

Comparing Cumulative Incidence Curves

I have a dataset of about 1000 patients with cancer and I was interested at looking at competing events. I plotted out the cumulative incidence curves for deaths from cancer and deaths from other ...
user2930701's user avatar
3 votes
1 answer
868 views

cmprsk cumulative incidence - comparing between two curve with different outomes

I have a question regarding the extracting p-values from the cumulative incidence curves that considered competing risks. I used cmprsk packages and ...
jjjj's user avatar
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1 vote
1 answer
164 views

Competing risks time-to-event analysis

E I have a time-to-event scenario where I want to look at Covid19 patients. I want to analyse how long it takes before they are extubated (taken off ventilator) in two different treatment groups. ...
User LG's user avatar
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1 answer
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How to compute the cumulative incidence function for a specific covariate in Cox regression model and Fine-Gray model?

I have generated results for Cox proportional hazards model, and Fine and Gray competing risk model, which gives me the hazard ratio and sub-distributional hazard ratio for each of the independent ...
Anchita Goswami's user avatar
2 votes
1 answer
831 views

Comparison of C-index between Cox Proportional Hazards model and Fine-Gray model

I have run two models with the same covariates, one for cox proportional hazards model and another for Fine-Gray competing risk model. The C-index for the cox model is about 0.81 and that of the Fine-...
Anchita Goswami's user avatar
1 vote
1 answer
580 views

Considering competing risk of death in R

I am doing a survival analysis where my event of interest is time to operation, so what I have coded my status variable is as below: Status 1 0 2, where 1 means operated, 0 means non-operated and 2 ...
user358238's user avatar
1 vote
0 answers
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What is the difference between cuminc and crr? [duplicate]

In this slide (from A TUTORIAL ON ACCOUNTING FOR COMPETING RISKS IN SURVIVAL ANALYSIS), there are two ways of plotting the cumulative incidence in a competitive risk setting. What are the differences? ...
IHopeItWontBeAStupidQuestion's user avatar
4 votes
1 answer
417 views

How to calculate the sample size (minimal observations needed per event) to perform competing risks regression analysis?

I want to perform a competing risks regression analysis. There are 3 competing risks + censored data. I would like to know if there is a way to calculate the minimal observations I will need per event ...
RobertoT's user avatar
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Conditional logistic regression: correct HR's with competing risks

In competing risk settings, the Cox model gives correct HR's if we censor at other event types (i.e. the Cause Specific Model): https://statisticalhorizons.com/for-causal-analysis-of-competing-risks/ ...
user167591's user avatar
3 votes
1 answer
3k views

Cox model vs. Fine-Gray: hazard ratios & predicted cumulative incidence under competing risks

I am unclear about deriving both hazard ratios and a predicted cumulative incidence curves under competing risks. After reading this interesting article: https://statisticalhorizons.com/for-causal-...
user167591's user avatar
1 vote
1 answer
266 views

Survival: treat censoring as a competing risk and use multinomial logit

Suppose I am modeling survival with the hazard rate specified using logistic regression, and the model is adequate for the data. Now add censoring, and the model formulation becomes a bit more ...
Richard Hardy's user avatar
1 vote
1 answer
195 views

Competing Risk Analysis - Account for the "ceiling" effect and how to interpret results

I am approaching competing risk analysis and I have several questions regarding how to account for what I call the "ceiling" effect and how to interpret the results. I'll try to be ...
user89547235's user avatar
2 votes
1 answer
2k views

Is cuminc the only way to estimate the cumulative incidence function for an event of interest in the presence of competing risk events?

The cuminc() function in R from the package cmprsk allows us to get an estimation of the CIF for an event of interest in the ...
FluidMechanics Potential Flows's user avatar
2 votes
1 answer
87 views

Zero time spent in initial state in multi-state model?

I'm modelling an illness-death multi-state model (see image, taken from the {survival} vignette, https://cran.r-project.org/web/packages/survival/vignettes/compete.pdf), and have a basic question: in ...
user2296603's user avatar
3 votes
1 answer
750 views

Subdistribution/cause-specific survival functions

How is the subdistribution survival function, associated with the subdistribution hazard function, interpreted? Is it just the probability of failing from the specific cause after the current time? I ...
user352188's user avatar
1 vote
1 answer
87 views

Choosing an appropriate model for survival analysis with recurrent events and competing risks

I’m having some difficulties in selecting the appropriate model(s) for analyzing survival data which includes recurrent events and (potentially) competing risks. There is no particular ‘terminal’ ...
Noa's user avatar
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How to combine Cause Specific Hazard model

Lets say I need to model the survival probability for death from heart disease (noted $H$). There is a competing risk in the study which is non-heart disease (noted $NH$). $H$ and $NH$ are competing ...
Metariat's user avatar
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how to deal with competing risk of death in the cox regression

I have a data which is set up for cox regression, I have the variable as below: Tstart, Tstop, status event, cancer, family id, The ...
user358238's user avatar
0 votes
1 answer
100 views

Competing risk of death

I have a longitudinal data including 4 follow-ups and the individuals are old. My event of interest is if happening of ability fall and I am also looking for competing risk of death. But the problem ...
user358238's user avatar