Questions tagged [recurrent-events]
The recurrent-events tag has no usage guidance.
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Cox Model - How to overcome small risk set after some time?
Good day,
I am currently designing an Anderson-Gill model. After plotting the mean cumulative function (see below), I noticed that the confidence intervals become very large later, indeed too large ...
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Literature for a supervised task on time series
I was introduced to the following project at my company.
We have $n$ time series coming from $n$ sensors. Each sensor has monitored a physical signal at a specific location. For each time series, a ...
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Recurrent event model - time to multiple medication discontinuations
I am using the following recurrent event model (counting process style input) to plot cumulative mean frequency of multiple medication initiations. Just like patients in the study can initiate ...
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Multi-state survival analysis
I'm wondering if my use case fits this problem. I have a bunch of retail consumers, and I want to model the interval between their purchases. Because its' an online platform, we can observe other ...
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How to compare frequencies of type of stress events with repeated measurements over time in a weekly diary study?
We hope you can help clarify whether a Chi-square test of equal frequencies (in SPSS) would be the correct choice.
Study participants have reported experienced stress events (text variable) in a ...
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Survival analysis with recurrent events: What is the difference between the "cluster" method from "lifelines" and the Andersen-Gill method?
Good afternoon,
I would like to better understand how the cluster method from the lifelines Python package differs from the Andersen-Gill method. Based on the definition of each (see below), the ...
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Survival analysis but every observation is an event
I'm trying to formulate a problem using survival analysis to forecast the next occurrence, but every observation is an event, i.e you can't observe an event not happening. Each observation has a user ...
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Can a subject appear multiple times in a risk set in recurrent event analyses?
To fit a Cox model to recurrent event data (Andersen & Gill), using the R survival package, requires the user to cast the data into counting process format (see [1]).
For recurrent event analyses, ...
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Definition of recurrent stochastic process, in general
This interesting question:
Recurrence definition for a Markov chain
gives the definition of a recurrent state for some discrete process.
I was wondering, in the case of a continuous (time) process, ...
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Multiple groups with multiple events of different character
In my team we do a study on a group of patients undergoing abdominal surgery and we evaluate the correlation between frailty amongst patients and complications.
Background knowledge:
We use a frailty-...
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Graphic presentation/analysis of multiple events of different character
Edited;
Ive troede to specify my problem. Hope it makes more sense.
Im a surgeon doing research. I use SPSS for statistics but in the group we are also able to use 'R'.
We are performing af study ...
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Survival curves, counter-intuitive results for customer churn -- lower risk of churn for users who've previously churned? [closed]
I'm trying to work out some explanation for a result I'm seeing where I have the Kaplan-Meier plots for monthly customer churn risk. In aggregate, it looks fine, but I've broken it down into subgroups ...
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Should the proportional hazards assumption be met for cox model with time dependent covariates? What about recurrent event models?
This question has been asked here before but in each thread I found, there was some disagreement about whether the proportional hazards (PH) assumption needs to be met for cox models with time ...
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Why am I getting such different hazard ratios from the Andersen-Gill model compared with the Prentice-Williams-Peterson model?
I am trying to model recurrent composite events to compare differences in recurrent events between two therapy groups. I have completed time to first event Cox regression as well as recurrent event ...
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Understand robust se vs naive se from marginal means survival model [duplicate]
I ran a marginal means survival model that included some time-invariant and time-varying covariates (see this post for relevant information). I am trying to understand why the robust standard errors ...
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