## What is competing risk model?

## What is the fine-gray model?

The Fine-Gray subdistribution hazard model has become **the default method to estimate the incidence of outcomes over time in the presence of competing risks**. This model is attractive because it directly relates covariates to the cumulative incidence function (CIF) of the event of interest.May 9, 2021

## What is the Fine and Gray regression model?

The Fine-Gray model addresses this issue and has the advantage that the **cumulative incidence of the event of interest has** a direct link with the estimated sub-distribution hazard, and thus regression coefficients quantify the direct effects of covariates on the cumulative incidence.

## What is Gray's test?

Gray's test is **used to evaluate hypotheses of equality of cause-specific cumulative incidence functions between two groups**, but as in the case of comparing survival curves, the test actually compares an underlying function of the cumulative incidence function, namely the subdistribution hazard.

## What is a Subhazard ratio?

Ratio of Subhazard Ratio and Cause-Specific Hazard Ratio as **a Diagnostic Tool**. **In the setting of any number of competing events and a binary exposure variable**, let denote the cumulative incidence of event at time among the unexposed and the corresponding cumulative incidence for the exposed group where .Jan 20, 2020

## What is fine and gray Subdistribution hazard model?

The subdistribution hazard function, introduced by Fine and Gray, for a given type of event is defined as the **instantaneous rate of occurrence of the given type of event in subjects who have not yet experienced an event of that type**.Sep 15, 2017

## What is Cox regression used for?

Cox regression (or proportional hazards regression) is **method for investigating the effect of several variables upon the time a specified event takes to happen**. In the context of an outcome such as death this is known as Cox regression for survival analysis.

## What are Schoenfeld residuals?

The Schoenfeld residual is defined as **the covariate value for the individual that failed minus its expected value**.

## What causes specific hazard?

The cause-specific hazard function generalizes the classical concept of the hazard function to the competing-risks setting, and it **describes the rate of failure from one event type in the presence of others**.

## What is cumulative incidence function?

Cumulative incidence function is **a proper summary statistics for analyzing competing risks data**. Cumulative incidence function is estimated by modeling the cause-specific hazard function of all causes. Gray's test compare the cumulative incidence function directly.

### Related questions

##### Related

### Is death a censoring event?

In practice, participant death is **typically treated as a noninformative censoring event**, and treatment and covariate effects are often estimated with the Cox proportional hazards method [7–10].

##### Related

### What is Aalen Johansen estimator?

The Aalen-Johansen estimator is **a multi-state (matrix) version of the Kaplan–Meier estimator for the hazard of a survival process**. The estimator can be used to estimate the transition probability matrix of a Markov process with a finite number of states.

##### Related

### What does a Kaplan Meier curve show?

The Kaplan-Meier estimator is used to estimate the survival function. The visual representation of this function is usually called the Kaplan-Meier curve, and it shows **what the probability of an event (for example, survival)** is at a certain time interval.May 2, 2019

##### Related

### How do you calculate cumulative incidence?

Cumulative incidence is calculated as **the number of new events or cases of disease divided by the total number of individuals in the population at risk for a specific time interval**.