Results 251 to 260 of about 4,687,478 (293)
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2009
Survival analysis (SA) consists of a variety of methods for analyzing the timing of events and/or the times of transition among several states or conditions. The event of interest can only happen at most once to any individual or subject. Alternate terms to identify this process include Failure Analysis (FA), Reliability Analysis (RA), Lifetime Data ...
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Survival analysis (SA) consists of a variety of methods for analyzing the timing of events and/or the times of transition among several states or conditions. The event of interest can only happen at most once to any individual or subject. Alternate terms to identify this process include Failure Analysis (FA), Reliability Analysis (RA), Lifetime Data ...
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Adaptive Designs with Survival Data
2016The designs with adaptive sample size modifications have been extended to survival data by several authors including application of the inverse normal method, the Fisher’s combination test approach, and some extensions of the conditional error rate principle.
Gernot Wassmer, Werner Brannath
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2000
This chapter gives a description of univariate survival data methods. The topic is also described in many other books. Thus, it is not absolutely necessary for persons experienced in survival analysis to read it, but it does contain notation and key results that will be needed later.
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This chapter gives a description of univariate survival data methods. The topic is also described in many other books. Thus, it is not absolutely necessary for persons experienced in survival analysis to read it, but it does contain notation and key results that will be needed later.
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Flexible Bayesian Modelling for Survival Data
Lifetime Data Analysis, 1998The analysis of failure time data often involves two strong assumptions. The proportional hazards assumption postulates that hazard rates corresponding to different levels of explanatory variables are proportional. The additive effects assumption specifies that the effect associated with a particular explanatory variable does not depend on the levels ...
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1997
The problem of analyzing time to event data arises in a number of applied fields, such as medicine, biology, public health, epidemiology, engineering, economics, and demography. Although the statistical tools we shall present are applicable to all these disciplines, our focus is on applying the techniques to biology and medicine.
John P. Klein, Melvin L. Moeschberger
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The problem of analyzing time to event data arises in a number of applied fields, such as medicine, biology, public health, epidemiology, engineering, economics, and demography. Although the statistical tools we shall present are applicable to all these disciplines, our focus is on applying the techniques to biology and medicine.
John P. Klein, Melvin L. Moeschberger
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Health insurance status and cancer stage at diagnosis and survival in the United States
Ca-A Cancer Journal for Clinicians, 2022Jingxuan Zhao +2 more
exaly