Survival analysis: Techniques for censored and truncated data book
Par culp jeffery le samedi, janvier 30 2016, 01:16 - Lien permanent
Survival analysis: Techniques for censored and truncated data by John P. Klein, Melvin L. Moeschberger
Survival analysis: Techniques for censored and truncated data John P. Klein, Melvin L. Moeschberger ebook
ISBN: 038795399X, 9780387953991
Page: 542
Publisher: Springer
Format: pdf
Moeschberger, SURVIVAL ANALYSIS Techniques for censored and truncated data, 2nd edition. Survival Analysis: Techniques for Censored and Truncated Data. Klein & Moeschberger (K&M): Survival Analysis: Techniques for censored and truncated data (2003, 2nd edition) Modeling Survival Data: Extending the Cox Model by Terry M. Professor Jane Hutton works in medical statistics, with special interests in survival analysis, meta-analysis and non-random data. ĸ�一篇將記錄truncated data. The analysis methods that were developed were called survival analysis, because often the outcome of interest was how long people survived–the time to event was time of survival until death. They include discrete counts; truncated or censored variables, where part of the distribution is cut off or measured only up to a certain point; and bounded variables, like proportions and percentages. Survival analysis was performed by the Kaplan-Meier method using the left-truncated approach to adjust for survival bias. Survival Analysis: Techniques for Censored & Truncated Data, Second Edition By: John Klein and Melvin Moeschberger. Description: Data sets and functions for Klein and Moeschberger (1997), "Survival Analysis, Techniques for Censored and Truncated Data", Springer. Which beginning point is measured depends on the study aims and the available data. ƭ�迎各位先進不吝指教討論. Categories: Survival analysis (Biometry).