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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At risk process in survival analysis
Why is there minus in $N_i(t-)$ in the risk process $Y_i(t)=1 - N_i(t-)$?
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Different results with different functions for competing risk regression with Fine-Gray model
I am doing competing risk regression. I have three possible functions and one of them produces completely different results than other two. In my dataset I have time to event, status (censored=0, ...
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Difference in results obtained by FGR command and riskRegression command with “prop” link in the riskRegression package for competing risk regression
I was applying competing risk regression for a dataset with 486 individuals. I was using the FGR command and riskRegression command with "prop" link from the riskRegression package. The output should ...
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Time-to-event statistical test for toxicity within a 12-month time frame?
I am performing a retrospective study and this is my hypothesis: among patients with metastatic melanoma, antibiotic exposure within the 3 months prior to immunotherapy increases the risk of therapy-...
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How best to represent changing risk over time in data set with groups of different duration
Here is an example outline of my dataset:
I have 20 shops that are open for a period of time, but the duration
is not the same (i.e. some locations are open for 4 years, others are
open for 2 months, ...
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Given competing risks, what is the probability of an event within d steps from time t?
In competing risk analysis, we can only identify the cause-specific hazard and functions of that hazard. The cumulative incidence function (CIF) is a function of the cause-specific hazards. Because ...
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2answers
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Survival analysis with external non-competing events
I'm new to survival analysis and struggling to find the best approach to my problem:
Assume that we want to model the time to the death event $X$ given some prior subject data.
I'm aware that ...
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1answer
25 views
Competing Risks Likelihood in each State
I have a competing risks model where every observation starts in state 0 and ends up in either state 1 or state 2.
I have the following cumulative hazard functions for each transition to state 1 and ...
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competing risks model with ties
I am fitting a competing risks survival model on a data set. There are 3 types of failures that compete with each other and occurrence of the first event is defined as the failure status. However, I ...
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Calculating risk from multinomial logistic regression and competing risks
I’m interested in predicting certain events an entity can experience. With logistic regression I would estimate the risk of a single event using p= exp(ß0 + ß1*x1 + ... + ßk*xk)/(1+exp(ß0 + ß1*x1 + ......
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multilevel discrete competing risk
Currently, i'm working my dissertation to build up the joint association in between multilevel discrete time competing risk response(Y_1tij^(r); r=event status) and another multilevel continuous ...
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Simulate discrete time competing risk data for clustered data
How can we simulate discrete time competing risk data for modelling multilevel discrete time competing risk( multilevel multinomial logit model)
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Why would results from cmprsk differ from those from riskRegression in competing risk analysis?
I have a dataframe with a number of covariates or different types (binary, numeric, factors) and 2 competing outcomes. The presence of one outcome would preclude the occurrence of the other outcome.
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180 views
How to test PH assumption with Schoenfeld residuals with simulated paths in presence of competing events
I've obtained Schoenfeld residuals for testing PH for Fine & Gray's Cox regression model in presence of competing events with cmprsk.
Here's the code:
...
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Implementation of regularized competing risk models with random effects
Are there any existing software implementations of regularized competing risk cox models with that also allow for random effects (i.e., competing risk frailty models)? That is, models that allow for ...
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61 views
Proportional Hazards, Competing Risks, or something else?
I'm looking to do a time-to-event analysis. My data set set has a binary response variable representing 2 distinct outcomes, a time variable, and some censoring. I am mainly interested in the time ...
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1answer
235 views
Piecewise constant exponential model with competing risk?
dear StackExchange users,
I'm struggling with a survival analysis problem. I have longitudinal data, so with multiple observations per individual (about 8 months per person). Each row represents one ...
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346 views
Survival trees with competing risk
I'm looking for a way to fit survival trees with competing risk.
Can I use the function LTRCART in the LTRCtrees package in R to fit a survival tree using the ...
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1answer
84 views
Competing risk analysis for clustered data
I am conducted a patient-level meta-analysis focusing on survival outcomes. I would like to add a competing risk analysis to the main analysis based on survey methods in R and Stata with Cox ...
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1answer
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Want to know proper survival model to understand the factors that influence time to event with recurrent competing risk
I am interested in understanding the factors that influence time to event. So say the event is a disability for Condition X- I want to know how patient characteristics (age, sex) affect that rate. ...
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1answer
181 views
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.
...
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2answers
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Modelling time-varying effects in discrete-time event history/survival analysis with competing risks
I have a question with regards to estimating time-varying effects in event history analysis with competing risks.
To give more context: the main idea of my study is to gain more insight into the ...
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1answer
225 views
Extreme point in Schoenfeld residual plot (for competing risks survival analysis)
I'm looking at the Schoenfeld residuals of a competing risks survival model for one of the covariates. There is an extreme point which I am struggling to interpret.
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Interpretation of risk ratios for competing risk from AFT
I want to analyse the time to disease with a competing event with an accelerated failure time model (AFT) with Weibull distribution. I wonder how exactly we can interpret the resulting coefficients ...
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1answer
310 views
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,...
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274 views
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 ...
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383 views
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 ...
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How to interpret the probabilities in competing risks analysis?
I am using the cmprsk and timereg packages in R to conduct competing risks data. the data is confidential so I cannot share, but I will point to the tutorial I am basing this work on http://rstudio-...
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190 views
Survival Analysis: Competing Risks vs Cure Models vs Multi-State
I am new to survival analysis and am having difficulty choosing how to analyze my dataset.
The background is that I have a pretty big dataset that includes ~22,000 subjects, with slightly over 65K ...
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2answers
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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.
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301 views
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 ...
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61 views
non-parametric estimation of competing risks model
Assume that our sample is composed by people that start from state A that are at risk of ending at state B1 or ...
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1answer
127 views
Estimating time to failure in the presence of competing risks with riskregression package in R
I'm doing survival analysis with the "riskregression" package in R.
What I want to do is to obtain the Fine&Gray CIF with confidence intervals for my individual outcome(s) with death as a ...
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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 ...
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1answer
783 views
Model Selection with Competing risks in Cox regression
When doing cox proportional hazards regression one often has competing risks. The typical approach for this is to fit separate cox proportional hazards models for each risk, censoring the competing ...
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1answer
541 views
Survival analysis with competing risks
I am analysing the effect of an intervention to reduce length of hospital stay (LOHS) after surgery. The main outcome is LOHS and the intervention is the main exposure. Death while in hospital is an ...
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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 ...
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236 views
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 ...
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Evaluation of health care program
I'm supposed to analyse the effect of a governmental health care program on mortality (due to cancer ,cardiovascular disease or any other cause of death). Health care program started in 1975 and is ...
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1answer
620 views
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 ...
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1answer
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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 $C$...
