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Results tagged with cox-model
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user 358238
Cox proportional hazards regression is a semi-parametric method for survival analysis. No distributional form needs to be assumed, only that the effect of one-unit increase in a covariate is a constant multiple.
0
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1
answer
756
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interpreting HR from the time-dependent cox regression
I have done two time-dependent cox regression. My time to event is time to disability, and exposure is disease (0/1). I have done a cox regression considering disease as time-dependent covariate. I wa …
- 139
1
vote
1
answer
518
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Is it appropriate to choose the best Cox regression based on AIC and checking the PH assumpt...
I have a Cox regression with 9 covariates as below in R:
coxph(Surv(Tstart, Tstop, status) ~ cancer+A+B+C+D+E+F+(1|clusterid), data = dat)
I would like to check if I need to include all the A,B, C, D …
- 139
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1
answer
104
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Competing risk of death
I have a longitudinal data including 4 follow-ups and the individuals are old. My event of interest is if happening of ability fall and I am also looking for competing risk of death. But the problem i …
- 139
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159
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how to deal with competing risk of death in the cox regression
I have a data which is set up for cox regression, I have the variable as below:
Tstart, Tstop, status event, cancer, family id,
The status event variable contains 0, 1 and 2. This shows that 0 no eve …
- 139
2
votes
1
answer
1k
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how to interpret the cumulative incidence plot stratifying in two groups
I would like to interpret the cumulative incidence plot in blow. Red line shows cancer and black line noncancers. Event is ability decline. Is it correct to say that the risk of ability decline in can …
- 139
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votes
1
answer
2k
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How to interpret the schoenfeld residuals plot
I want to check the proportional hazard assumption. I used both test using cox.zph() in R and schoenfeld residuals plot using hggcoxzph(). I want to know if the plot is fine and how I can interpret i …
- 139
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2
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63
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how to deal with exposure measurements long before inclusion using cox model
I have a longitudinal data with exposure air pollution and outcome cardiovascular disease. The inclusion starts from 2010 to 2017 and then I followed until 2021. I have measurement of pollution from 1 …
- 139
1
vote
1
answer
2k
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How to deal with left truncation in cox model in R
I have a longitudinal data with 8 follow-ups. My aim is to see the effect of a disease on ability decline at old age. In my study, I have sibling pairs, one with disease (1) and one without disease (0 …
- 139