Survival analysis: Techniques for censored and truncated data. John P. Klein, Melvin L. Moeschberger
ISBN: 038795399X,9780387953991 | 542 pages | 14 Mb
Survival analysis: Techniques for censored and truncated data John P. Klein, Melvin L. Moeschberger
To ensure that the full population of equipment and tools is fully considered without any bias entering into the analysis,a method in accordance with the present invention comprises the step of assigning a censoring flag (e.g., 0=failure, 1=censored) to the equipment, e.g., an ESP. Proportional hazards model, which also called Cox regression, is a popular method in analysis of survival data. This step of assigning a censoring flag is a distinguishing feature of the present inventionand permits the application of a tried and tested statistical survival analysis to the data. CompetingRiskFrailty, Competing Risk Model with Frailties for Right Censored Survival D emplik, Empirical likelihood ratio for censored/truncated data. Therneau TM, Grambsch PM, Flemenig TR: Martingale-based residuals for survival models. Klein JP, Moeschberger ML: Survival analysis: techniques for censored and truncated data. Moeschberger, Survival Analysis: Techniques for Censored and Truncated Data, Springer, New York, NY, USA, 2th edition, 2003. One common method to analyze this contains right-censored data. Survival analysis methods deal with a type of data, which is waiting time till occurrence of an event. Lifetime Data Analysis is the only journal dedicated to statistical methods and applications for lifetime data. Ade4, Analysis of Ecological Data : Exploratory and Euclidean methods i.
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