All Questions
7 questions
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Counting process approach in survival analysis with non-contiguous intervals?
I am setting up a Cox Proportional Hazards model in R to analyze survival time until a recurrence event occurs. Each case can experience multiple recurrence events, therefore I decided to emply the ...
- 11
1
vote
1
answer
354
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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 ...
- 102k
1
vote
1
answer
256
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Confirming the censoring state transition with a multi-state Cox model with recurrent events
I am working with data that contains information about the age at which each person enrolled in a study; zero or more hospitalization events for a disease (with age information); the age at which they ...
- 102k
1
vote
0
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86
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How can I change the 'baseline hazard function' from its default?
I have implemented a gap time-conditional (aka PWP) recurrent Cox regression model in R. However, rather then baseline hazard function (delta_0(t)) acting as a constant, I would like to incorporate a ...
- 82.8k
6
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1
answer
3k
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Interpret survival curve for multiple-event Cox proportional hazard model
I am using the bladder2 dataset, which is setup in "conditional" long format:
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5
votes
0
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4k
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Modelling recurrent events using Cox regression (in R)
I would appreciate a sanity check of whether I am using Cox PH regression in R correctly to analyse recurrent events.
My work has used the instructions proposed in "Modelling recurrent events: a ...
- 605
1
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0
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235
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How to calculate median survival time in repeated events data?
I have a global dataset (with over 170 countries) and most of the countries in the data experienced the event multiple times. I use extended Cox models to analyze the data (so called "PWP"/conditional ...
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