Modeling Survival Data Extending The Cox Model

By A. Dreher. 2016

3,441 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f31c2ddb7bb3f3f6ef4219143901cc0cddca5968

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Citations in the corpus

Similarity network fusion for aggregating data types on a genomic scale (2014, methodology): “For the task of survival prediction in the METABRIC breast cancer data [2] analysis, Cox Model [12] is the mostly widely used tool so far.”
Network Effects in Countries’ Adoption of IFRS (2014, positive): “We estimate the counting process hazard model (Therneau and Grambsch, 2000).”
The Ratio of Macronutrients, Not Caloric Intake, Dictates Cardiometabolic Health, Aging, and Longevity in Ad Libitum-Fed Mice (2014, methodology): “This package is based on Therneau and Grambsch (2000).”
Dose-Response Analysis Using R (2015, methodology): “In passing we note that there is a close link between the two-parameter log-logistic, log-normal, and Weibull type I models available in drc (where only the two parameters b and e are not fixed) and the log-logistic, log-normal, and Weibull models available in the package survival [21].”
Prognostic value of tumor-infiltrating lymphocytes in triple-negative breast cancers from two phase III randomized adjuvant breast cancer trials: ECOG 2197 and ECOG 1199. (2014, methodology): “This is valid for simple cohort sampling schemes(12) and for weighted Cox model analysis.(13) A weight of 1 was used for all E1199 patient cases (because they were selected at random) and for recurrences in E2197; nonrecurrences in E2197 were given a weight of 1.”
Elastic Net Regularization Paths for All Generalized Linear Models (2021, background): “As noted in Therneau and Grambsch (2000), (start, stop] responses greatly increase the ﬂexibility of the Cox model, allowing for • Time-dependent covariates, • Time-dependent strata, • Left truncation, • Multiple time scales, • Multiple events per subject, • Independent increment, marginal, and…”
The use of propensity score methods with survival or time-to-event outcomes: reporting measures of effect similar to those used in randomized experiments (2013, methodology): “Another approach that has been used is to stratify on the matched sets [39].”
Web-Based Survival Analysis Tool Tailored for Medical Research (KMplot): Development and Implementation (2021, positive): “We employed the coxph function of the survival package [10] for performing the proportional hazard assumption test.”
Development of Hong Kong Liver Cancer staging system with treatment stratification for patients with hepatocellular carcinoma. (2014, methodology): “The proportionality assumption was assessed on each imputed data set by a test based on scaled Schoenfeld residuals.(31) When proportionality was rejected, the timedependent coefficients were plotted over time and examined,”