Statistical Methods for Survival Data Analysis: Lee/Survival Data Analysis

By Elisa Lee, J. Wang. 2003

849 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9b2ba538d80ff6451848f4deb3de1952b03c478c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

Citations in the corpus

Male facial width is associated with death by contact violence: narrow-faced males are more likely to die from contact violence (2012, methodology): “In addition, we performed event history analysis by use of Cox regression models, also known as the proportional hazard models (Lee & Wang, 2003).”
Closely related pollen generalist bees differ in their ability to develop on the same pollen diet: evidence for physiological adaptations to digest pollen (2011, methodology): “We used Kaplan–Meier survival statistics to compare larval survival on the different pollen diets following Lee & Wang (2003).”
Alpha power inverse Weibull distribution with reliability application (2019, background): “The real data set in Table 8 represents the remission times (in months) of a random sample of 128 bladder cancer patients reported in Lee and Wang [18].”
Some parsimonious models for lifetimes and applications (2021, methodology): “This data set is extracted from Lee and Wang [25].”
The Marshall-Olkin Generalized-G Family of Distributions with Applications (2018, background): “Cancer patient data The first data set describes the remission times (in months) of a random sample of 128 bladder cancer patients studied by Lee and Wang (2003).”
The Exponentiated Weibull-H Family of Distributions: Theory and Applications (2017, background): “The Cancer Patient Data The first data set refers to the remission times (in months) of a random sample of 128 bladder cancer patients provided in Lee and Wang [8].”
A Multi-Task Learning Formulation for Survival Analysis (2016, methodology): “Survival analysis aims at modeling time-to-event data, which is typically collected in longitudinal studies that start from a particular time and last until a certain event of interest has occurred [11, 20].”
How to analyse seed germination data using statistical time-to-event analysis: non-parametric and semi-parametric methods (2012, methodology): “Neither R nor SAS currently reports the median or other quantiles for the life-table estimate of the survivor function, but the required methods are straightforward (see Lee and Wang, 2003).”
Queen and worker policing in the tree wasp Dolichovespula sylvestris (2005, methodology): “The average survival of queen-laid and worker-laid eggs was compared using Gehan’s Wilcoxon test (Lee and Wang 2003).”
Closing the circle: is it feasible to rehabilitate reefs with sexually propagated corals? (2013, methodology): “Data analysis Kaplan–Meier product-limit analysis was used to estimate the shape of the curve of survival time for each of the transplant age/size classes (Lee and Wang 2003).”