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

Data were collected between May 2002 and December 2009 as part of an ongoing study on the natural course of Pompe disease ('Pompe Survey') e.g. Klein J, Moeschberger M: Survival Analysis: Techniques for Censored and Truncated Data. Klein JP MM (1997) Survival analysis: techniques for censored and truncated data. Proportional hazards model, which also called Cox regression, is a popular method in analysis of survival data. Ã�ディア:ハードカバー販売元:Springer ＜言語＞ 1. [6,17] in which patients complete a number of self-report questionnaires each year, gathering information on The present analyses only include patients of 18 years and older with late-onset Pompe disease. New York: Springer-Verlag; 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. Klein JP, Moeschberger ML: 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. The survival times of patients who were alive at study end or lost to follow-up were censored. If left/interval censoring is %present the Turnbull algorithm is employed. Moeschberger, Survival Analysis: Techniques for Censored and Truncated Data, Springer, New York, NY, USA, 2th edition, 2003. Typically, traditional survival analysis, e.g., the Cox proportional hazards model, uses censored data. Therneau TM, Grambsch PM, Flemenig TR: Martingale-based residuals for survival models.