Understanding Landmarking and Its Relation with Time-Dependent Cox Regression. [PDF]
Stat Biosci, 2017 Time-dependent Cox regression and landmarking are the two most commonly used approaches for the analysis of time-dependent covariates in time-to-event data. The estimated effect of the time-dependent covariate in a landmarking analysis is based on the value of the time-dependent covariate at the landmark time point, after which the time-dependent ...
Putter H, van Houwelingen HC.
europepmc +6 more sources
TIME-DEPENDENT COVARIATES IN THE COX PROPORTIONAL-HAZARDS REGRESSION MODEL [PDF]
Annual Review of Public Health, 1999 ▪ Abstract The Cox proportional-hazards regression model has achieved widespread use in the analysis of time-to-event data with censoring and covariates. The covariates may change their values over time. This article discusses the use of such time-dependent covariates, which offer additional opportunities but must be used with caution.
Lloyd D. Fisher, D. Y. Lin
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Cox regression with doubly truncated responses and time-dependent covariates: the impact of innovation on firm survival [PDF]
Journal of Applied Statistics, 2023 The creation of new firms is an important incentive for the economic growth of a country, since it generates employment, it encourages the competition, and promotes innovation. In this work, we investigate the survival of Spanish firms which were created since 2001 and closed down between 2004 and 2012.
Jacobo de Uña‐Álvarez +3 more
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Time-dependent coefficients in a Cox-type regression model
Stochastic Processes and their Applications, 2021 Estimation of a time-varying coefficient in a Cox-type parameterization of the stochastic intensity of a point process is considered. A sieve estimation procedure (Grenander, 1981) is used to estimate the coefficient. A rate of convergence in probability for the sieve estimator is given and a functional CLT for the integrated sieve estimator is proved.
P. K. Sen, S. A. Murphy
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Association between diarrhea and survival in patients with HER2-positive advanced breast cancer treated with pyrotinib-based therapy: A landmark analysis from the real-world PRETTY study [PDF]
BreastBackground: Diarrhea is the most common adverse event of pyrotinib. This study analyzed the association between diarrhea and survival in patients with HER2-positive advanced breast cancer treated with pyrotinib-based therapy.
Yiqun Li +14 more
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Beta-Blocker Treatment in Ventilated COVID-19 patients – A Cox Regression with Time Dependent Covariate Analysis [PDF]
, 2021 Abstract Background: Patients with co-morbidities are particularly vulnerable to severe COVID-19 disease. Critically ill patients with COVID-19 frequently experience severe tachycardias and avoidance of these is important in some co-morbidities, for instance cardiovascular disease.
Dipesh Mistry +6 more
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Time-dependent Cox regression model is superior in prediction of prognosis in primary sclerosing cholangitis [PDF]
Hepatology, 2002 More precise prognostic models are needed for prediction of survival in patients with primary sclerosing cholangitis (PSC), particularly for the selection of candidates for liver transplantation. The aim of this study was to develop a time-dependent prognostic model for the calculation of updated short-term survival ...
Kirsten Muri Boberg +11 more
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, 2016 Estimates and Confidence Intervals for Association Parameter (N = 100). Values are presented as estimates and 95 % confidence intervals for the link parameter. Varying link parameter (0.00, 0.50, and 1.00); varying event rates (10 %, 50 %, and 90 %).
Julius S. Ngwa +6 more
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Cox regression with survival‐time‐dependent missing covariate values [PDF]
Biometrics, 2019 AbstractAnalysis with time‐to‐event data in clinical and epidemiological studies often encounters missing covariate values, and the missing at random assumption is commonly adopted, which assumes that missingness depends on the observed data, including the observed outcome which is the minimum of survival and censoring time.
Yanyao Yi +3 more
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Does the Anti-Mullerian Hormone Decline Rate Improve the Prediction of Age at Menopause?
Frontiers in Endocrinology, 2021 ObjectivesThere are controversial studies investigating whether multiple anti-Mullerian hormone (AMH) measurements can improve the individualized prediction of age at menopause in the general population. This study aimed to reexplore the additive role of
Fahimeh Ramezani Tehrani +5 more
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