How can I calculate the 95% confidence intervals of the hazard ratio from coxphfit?

6 ビュー (過去 30 日間)
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
  5 件のコメント
Alexander MacFarlane IV
Alexander MacFarlane IV 2018 年 8 月 21 日
Wow, thanks!
I see now why you have MVP next to your name.
Star Strider
Star Strider 2018 年 8 月 21 日
My pleasure!
It's an interesting problem, since MATLAB usually provides these, or an easy way to calculate them.

サインインしてコメントする。

採用された回答

Mau Coen Moraga
Mau Coen Moraga 2018 年 8 月 22 日
編集済み: Mau Coen Moraga 2018 年 8 月 22 日
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
  2 件のコメント
Alexander MacFarlane IV
Alexander MacFarlane IV 2018 年 8 月 22 日
Thank you Mau Coen, and thanks again to Star Strider.
I tried that with some of my data and confirmed the results with our in-house statisticians and it works perfectly.
Victor Fernandes
Victor Fernandes 2023 年 4 月 5 日
so we're assuming a normal distribution here?? Does that make sense?

サインインしてコメントする。

その他の回答 (0 件)

カテゴリ

Help Center および File ExchangeExploration and Visualization についてさらに検索

製品


リリース

R2016b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by