Statistical Models and Methods for Lifetime Data. Jerald F. Lawless

Statistical Models and Methods for Lifetime Data


Statistical.Models.and.Methods.for.Lifetime.Data.pdf
ISBN: 0471372153,9780471372158 | 330 pages | 9 Mb


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Statistical Models and Methods for Lifetime Data Jerald F. Lawless
Publisher: Wiley-Interscience




The statistical analysis of failure time data. Using pooled data from three Canadian open-label studies involving 338 children ages 6-11 years with ADHD who were treated with atomoxetine for 3, 6 and 12 months, and survival analysis methods for interval-censored data, we estimated the time to: 1) improvement and robust improvement defined by ≥25% and ≥40% reductions from baseline ADHDRS-IV-PI total scores, respectively; and 2) remission using two .. Fitting Lifetime Data to a Weibull Model. The maximum likelihood method of estimation was used to fit all three models -- log-normal, gamma, and Weibull -- to the data using the R language [30]. Lawless J: Statistical Models and Methods for Lifetime Data. Statistical Models and Methods for Lifetime Data, 2nd edition. Loss Models: From Data to Decisions, John Wiley & Sons, New York. Statistical Models and Methods for Lifetime Data, 2nd Edition, John Wiley & Sons, Hoboken. 1980 (1st ed.), 2002 (2nd ed.) ISBN 9780471363576; Jerald F. Reliability analysis (or survival analysis) is a branch of statistics that deals with death in biological organisms and failure in mechanical or electronics systems, which may be within a localized test time. Lawless, Statistical Models and Methods for Lifetime Data, John Wiley, New York, NY, USA, 2nd edition, 2003.