Survival analysis: Techniques for censored and truncated data pdf
Par gibbs anthony le mercredi, juin 8 2016, 06:52 - 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
Page: 542
Publisher: Springer
ISBN: 038795399X, 9780387953991
Format: pdf
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. Survival Analysis: Techniques for Censored and Truncated Data. Therneau TM, Grambsch PM, Flemenig TR: Martingale-based residuals for survival models. Description: Data sets and functions for Klein and Moeschberger (1997), "Survival Analysis, Techniques for Censored and Truncated Data", Springer. One common method to analyze this contains right-censored data. Survival Analysis: Technique for Censored and Truncated Data (2nd ed.). Klein JP MM (1997) Survival analysis: techniques for censored and truncated data. RES690 – NIH “Censor II” Censored and truncated data frequently arise from HIV/AIDS related and other clinical trials and observational studies. Survival Analysis: Techniques for Censored and Truncated Data (Statistics for Biology and Health) (Hardcover). Moeschberger, Survival Analysis: Techniques for Censored and Truncated Data, Springer, New York, NY, USA, 2th edition, 2003. Survival analysis methods deal with a type of data, which is waiting time till occurrence of an event. Proportional hazards model, which also called Cox regression, is a popular method in analysis of survival data. Legislative Assembly of British Columbia (LABC). Klein JP, Moeschberger ML: Survival analysis: techniques for censored and truncated data. Categories: Survival analysis (Biometry).