Survival analysis: Techniques for censored and truncated data by John P. Klein, Melvin L. Moeschberger

Survival analysis: Techniques for censored and truncated data



Download Survival analysis: Techniques for censored and truncated data




Survival analysis: Techniques for censored and truncated data John P. Klein, Melvin L. Moeschberger ebook
Page: 542
Publisher: Springer
Format: pdf
ISBN: 038795399X, 9780387953991


The pseudo-value technique is used to analyze survival data on predetermined time points when proportional assumptions needed for the Cox model22 do not hold for overall survival. We consider random-effects likelihood- based statistical inference if the duration data are subject to left-truncation. Ã�ディア:ハードカバー販売元:Springer ＜言語＞ 1. Shared-frailty survival models specify that systematic unobserved determinants of duration outcomes are identical within groups of individuals. New York: Springer-Verlag; 2003. 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. Klein J, Moeschberger M: Survival Analysis: Techniques for Censored and Truncated Data. Professor Jane Hutton works in medical statistics, with special interests in survival analysis, meta-analysis and non-random data. Able software packages covering survival analysis, and indeed it has become pop- moment of death due to the cause of interest is right-censored by an event with an unknown. Lifetime Data Analysis is the only journal dedicated to statistical methods and applications for lifetime data. 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.