Partial likelihood ratio tests for the Cox model under complex sampling.

نویسندگان

  • Thomas Lumley
  • Alastair Scott
چکیده

We develop an analog of the likelihood ratio test for Cox proportional hazards models fitted to sample survey data. We look at methods for computing the asymptotic distribution and at ways of improving the small-sample performance. The methods are illustrated with examples using data from the National Health and Nutrition Examination Survey and from a stratified case-cohort study.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Effect of Time-dependent Prognostic Factors on Survival of Non-Small Cell Lung Cancer using Bayesian Extended Cox Model

  Abstract Background: Lung cancer is one of the most common cancers around the world. The aim of this study was to use Extended Cox Model (ECM) with Bayesian approach to survey the behavior of potential time-varying prognostic factors of Non-small cell lung cancer. Materials and Methods: Survival status of all 190 patients diagnosed with Non-Small Cell lung cancer referring to hospitals in ...

متن کامل

R the Cox Regression Model, Invariance Principles for Some Induced Quantile Processes and Some Repeated Significance Tests @bullet the Cox Regression Model, Invariance Principles for Some Induced Quantile Processes and Some Repeated Significance Tests*

For the Cox regression model, the partial likelihood functions involve linear combinations of induced order statistics. Some in-variance principles pertaining to such linear combinations of induced order statistics are studied and the theory is incorporated in the formulation of suitable repeated significance tests (for the hypothesis of no regression) based on these partial likelihoods. Asympt...

متن کامل

Prognostic factors of survival of patients with oesophageal cancer under radiotherapy using cox regression model

oesophageal cancer is one of the most fatal cancer in human in spite of high incidence in the north of Iran and poor prognosis,there is not information regarding prognostic factors in this area.this study was conducted to determine prognodtic factors of the survival of patients with oesophageal cancer under radiotherapy.We conducted a descriptive-analytical study using historical cohort that ha...

متن کامل

Full Likelihood Inferences in the Cox Model: an Empirical Likelihood Approach

For the regression parameter β0 in the Cox model, there have been several estimators constructed based on various types of approximated likelihood, but none of them has demonstrated small-sample advantage over Cox’s partial likelihood estimator. In this article, we derive the full likelihood function for (β0, F0), where F0 is the baseline distribution in the Cox model. Using the empirical likel...

متن کامل

Marginal Structural Cox Models with Case-Cohort Sampling

A common objective of biomedical cohort studies is assessing the effect of a time-varying treatment or exposure on a survival time. In the presence of time-varying confounders, marginal structural models fit using inverse probability weighting can be employed to obtain a consistent and asymptotically normal estimator of the causal effect of a time-varying treatment. This article considers estim...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Statistics in medicine

دوره 32 1  شماره 

صفحات  -

تاریخ انتشار 2013