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2007
This chapter introduces some fundamental results in survival analysis. We first describe what is censored failure time data and how to interpret the failure time distribution. Two nonparametric methods for estimating the survival curve, the life table estimator and the Kaplan-Meier estimator, are demonstrated. We then discuss the two-sample problem and
Hongyu, Jiang, Jason P, Fine
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This chapter introduces some fundamental results in survival analysis. We first describe what is censored failure time data and how to interpret the failure time distribution. Two nonparametric methods for estimating the survival curve, the life table estimator and the Kaplan-Meier estimator, are demonstrated. We then discuss the two-sample problem and
Hongyu, Jiang, Jason P, Fine
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Diseases of the Colon & Rectum, 1989
Survival analysis is a statistical method used to calculate the probability of an event such as death or relapse of disease occurring in a patient over time. Survival analysis is important in the interpretation of clinical research, and is frequently encountered in the colorectal literature. In this article, the terminology used in survival analysis is
R K, Reznick, C B, Guest
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Survival analysis is a statistical method used to calculate the probability of an event such as death or relapse of disease occurring in a patient over time. Survival analysis is important in the interpretation of clinical research, and is frequently encountered in the colorectal literature. In this article, the terminology used in survival analysis is
R K, Reznick, C B, Guest
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The American Statistician, 2008
In this article, I will discuss life tables and Kaplan-Meier estimators, which are similar to life tables. Then I turn to proportional-hazards models, aka "Cox models." Along the way, I will look at the efficacy of screening for lung cancer, the impact of negative religious feelings on survival, and the efficacy of hormone replacement therapy.
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In this article, I will discuss life tables and Kaplan-Meier estimators, which are similar to life tables. Then I turn to proportional-hazards models, aka "Cox models." Along the way, I will look at the efficacy of screening for lung cancer, the impact of negative religious feelings on survival, and the efficacy of hormone replacement therapy.
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2022
Quantitative social scientists use survival analysis to understand the forces that determine the duration of events. This Element provides a guideline to new techniques and models in survival analysis, particularly in three areas: non-proportional covariate effects, competing risks, and multi-state models.
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Quantitative social scientists use survival analysis to understand the forces that determine the duration of events. This Element provides a guideline to new techniques and models in survival analysis, particularly in three areas: non-proportional covariate effects, competing risks, and multi-state models.
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Multivariate Survival Analysis
Theory of Probability & Its Applications, 1993The author considers problems arising in multivariate survival analysis. It is shown that concepts of history and future of one-dimensional time lead to definitions of multidimensional measures of risk, iterated measures of hazard rate, and a representation of multidimensional survival time.
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Phylogenetic Survival Analysis
Going back in time through a phylogenetic tree makes it possible to evaluate ancestral genomes and assess their potential to acquire key polymorphisms of interest over evolutionary time. Knowledge of this kind may allow for the emergence of key traits to be predicted and pre-empted from currently circulating strains in the future.Torres Ortiz, Arturo, Grandjean, Louis
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2016
In this chapter, various techniques of assessing an individual's survival are presented, suitable for presentation in a forensic setting. The three techniques that are compared are the life table, Kaplan–Meier, and Weibull methods. Methods for assessing the uncertainty of a survival projection, as well as the bounds of what is “more probable than not ...
Tolley, H. D. +2 more
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In this chapter, various techniques of assessing an individual's survival are presented, suitable for presentation in a forensic setting. The three techniques that are compared are the life table, Kaplan–Meier, and Weibull methods. Methods for assessing the uncertainty of a survival projection, as well as the bounds of what is “more probable than not ...
Tolley, H. D. +2 more
openaire +2 more sources