Questions tagged [hazard]

The hazard rate is the instantaneous rate at which units that have survived until time $t$ die at $t$. The hazard ratio is the ratio of 2 specified hazards.

Hazards are a central construct in survival (reliability) analysis. The hazard rate at time $t$ is the instantaneous rate of death (or failure, etc.) at $t$, conditional on survival until $t$. For a probability density function $f(t)$ and cumulative distribution function $F(t)$ the hazard rate function $\lambda(t)$ is given by:
$$ \lambda(t)=\frac{f(t)}{1-F(t)} $$ The hazard ratio is the ratio of two specified hazard rates. A typical example would be the hazard rates for treated vs. untreated patients.

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Intuition for cumulative hazard function (survival analysis)

I'm trying to get intuition for each of the main functions in actuarial science (specifically for the Cox Proportional Hazards Model). Here's what I have so far: $f(x)$: starting at the start time, the probability distribution of when you will…
Jon
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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. By using the built-in survival package R…
Dihan
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How do I interpret Exp(B) in Cox regression?

I'm a medical student trying to understand statistics(!) - so please be gentle! ;) I'm writing an essay containing a fair amount of statistical analysis including survival analysis (Kaplan-Meier, Log-Rank and Cox regression). I ran a Cox regression…
Alex
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Basic questions about discrete time survival analysis

I am attempting to carry out a discrete time survival analysis using a logistic regression model, and I'm not sure I completely understand the process. I would greatly appreciate assistance with a few basic questions. Here is the set up: I'm…
Talbot Katz
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What are the pros and cons of using the logrank vs. the Mantel-Haenszel method for computing the Hazard Ratio in survival analysis?

One way to summarize the comparison of two survival curves is to compute the hazard ratio (HR). There are (at least) two methods to compute this value. Logrank method. As part of the Kaplan-Meier calculations, compute the number of observed events…
Harvey Motulsky
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Can Hazard Ratio be translated into ratio of medians of survival time?

In one paper describing results of survival analysis I have read a statement that implies that one can translate Hazard ratio (HR) into ratio of median survival times ($M_1$ and $M_2$) using the formula: $HR = \frac{M_1}{M_2}$ I'm sure it doesn't…
Adam Ryczkowski
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Intuition behind the hazard rate

I am confused about the equation that serves as the definition of the hazard rate. I get the idea of what the hazard rate is, but I just don't see how the equation expresses that intuition. If $x$ is a random variable which represents the point of…
user246315
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What are the differences between survival analysis and Poisson regression?

I'm working on a classical churn prediction problem using the number of visits of a given user to a site and I thought that Poisson Regression was the right tool for modelling the future engagement of that user. When then I came across a book about…
tonicebrian
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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 are great for ALMOST all of the variables. There are three variables whose Schoenfeld…
jeffalstott
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The difference between average and marginal treatment effect

I have been reading some papers, and I am unclear about the specific definitions of Average Treatment Effect (ATE), and Marginal Treatment Effect (MTE). Are they the same? According to Austin... A conditional effect is the average effect, at the…
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Is there any functional difference between an odds ratio and hazard ratio?

In logistic regression, an odds ratio of 2 means that the event is 2 time more probable given a one-unit increase in the predictor. In Cox regression, a hazard ratio of 2 means the event will occur twice as often at each time point given a one-unit…
ATJ
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Proof of relationship between hazard rate, probability density, survival function

I am reading a bit on survival analyses and most textbooks state that $h(t)= \lim_{ \Delta t \rightarrow 0} \frac{P(t < T \leq t+\Delta t |T \geq t )}{ \Delta t} =\frac{f(t)}{1-F(t)} (1)$ where $h(t)$ is the hazard rate, $f(t)=\lim_{\Delta t…
nostock
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How to interpret a hazard ratio from a continuous variable -- unit of difference?

I am reading an article which shows Hazard Ratios for continuous variables, but I'm not sure how to interpret the given values. My current understanding of hazard ratios is that the number represents the relative likelihood of [event] given some…
Manetheran
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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 X, Y, Z. I know the muhaz R package can calculate the observed…
nostock
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Understanding Hazard Function Values Exceeding 1

I keep running into problems in understanding hazard rates. I know, for example, that in a strict sense a hazard rate is not a probability and it is continually mentioned that because of this the hazard rate has no upper bound. Am I right in…
T Bonnett
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