All Questions
10 questions
1
vote
2
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3k
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Developing Risk Scores from Cox Regression model?
A simple question on the development of risk prediction models from Cox regressions.
Suppose, as an example, that I want to create a risk score for 1-year mortality in patients with cardiovascular ...
1
vote
1
answer
2k
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Comparing non-nested Cox models: AIC & Partial likelihood test?
I'm doing survival Cox PH analyses and want to understand how an important continuous variable impacts time-to-event (model1).
This important variable is frequently ...
2
votes
1
answer
353
views
Cox regression assessing joint relationship between baseline groups? JAMA example
I'm a new R user trying to better understand the analytical framework behind an important JAMA paper (doi:10.1001/jama.291.2.210) and how it can be coded in R. It's objective was to evaluate if, in ...
2
votes
1
answer
304
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Cox proportional hazards with left-censored time-dependent covariates
I'm doing statistical analysis on a cancer study. My specific dataset contains id, various co-variates such as age, sex, metastatic burden, etc. and time to event data for overall survival
I want to ...
3
votes
2
answers
186
views
Should I use Cox model?
In a study of crowdfunding, I am investigating the relationship between the reputation of a person seeking funding for a project (a continuous variable) and the proportion of funding target received (...
1
vote
1
answer
106
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Cox Regression and Linkage Disequilibrium
I'm trying to figure out the best way to account for linkage disequilibrium in a cox regression, and would really appreciate your advice. I'm testing the effect of a particular allele on overall ...
2
votes
1
answer
1k
views
How does Cox regression estimate time to an event?
In R and Python, Cox regression is specified with duration and event as the dependent variables. However, Cox regression is said ...
1
vote
0
answers
854
views
What could be the reasons for why re-scaling variables used in regression helps model performance?
There's already an excellent post on standardizing values used for regression here. In this post, I am using Cox Regression (Cox Proportional Hazard model) with the lifelines Python library. Now, one ...
8
votes
5
answers
3k
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Determine where hazards starts to increase for a continuous variable
I'm interested in a continuous variable, namely blood pressure.
The higher the blood pressure, the greater the risk of heart attack and stroke.
However, studies frequently report that also low blood ...
1
vote
0
answers
41
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Cox regression to see if distribution of disease predicts survival
I'm working with clinical data from a few hundred patients. Every patient was measured at 6 different timepoints with regular intervals.
Each patient is assessed on 3 different domains and given a ...