How can I calculate the 95% confidence intervals of the hazard ratio from coxphfit?
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Hi everybody.
I am using coxphfit to compute P-values and hazard ratios for data related to clinical trials and need to be able to compute a the 2-sided 95% confidence interval of the hazard ratio.
Any help will be appreciated
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Star Strider
2018년 8월 21일
My pleasure!
It's an interesting problem, since MATLAB usually provides these, or an easy way to calculate them.
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Mau Coen Moraga
2018년 8월 22일
편집: Mau Coen Moraga
2018년 8월 22일
Hi Alexander,
My name is Mau and I can confirm that there is no documentation provided to calculate the confidence intervals for the Cox Proportional Hazards Model. Upon further deliberation with my colleagues, we will consider adding the confidence interval functionality to “coxphfit” in a future release of MATLAB.
In the meantime, in order to calculate a confidence interval from the fitted Cox Proportional Hazards Model, you can follow the commands below:
% Generate Weibull data depending on predictor |X|.
rng('default') % for reproducibility
X = 4*rand(100,1);
A = 50*exp(-0.5*X);
B = 2;
y = wblrnd(A,B);
% Fit a Cox proportional hazards model.
[b,logL,H,stats] = coxphfit(X,y);
% Hazard Ratio exp(b)
exp(b)
ans =
2.5623
% Calculate 95% confidence interval of Hazard Ratio
CI = exp(b + [-1 1]*1.96*stats.se)
CI =
2.0030 3.2778
Feel free to respond here for further questions.
Sincerely,
Mau Coen
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