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Statistical Models and Methods for Lifetime Data

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




Statistical Models and Methods for Lifetime Data. Statistical Models and Methods for Lifetime Data, 2nd Edition, John Wiley & Sons, Hoboken. Fitting Lifetime Data to a Weibull Model. 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 ˇÝ25% and ˇÝ40% reductions from baseline ADHDRS-IV-PI total scores, respectively; and 2) remission using two .. Loss Models: From Data to Decisions, John Wiley & Sons, New York. Lawless Publisher: Wiley-Interscience. Statistical Models and Methods for Lifetime Data, 2nd edition. February 3rd, 2013 reviewer Leave a comment Go to comments. 1980 (1st ed.), 2002 (2nd ed.) ISBN 9780471363576; Jerald F. Little, R.J.A., Rubin, D.B., 1983. Top; Abstract; Background; Results; Discussion; Conclusions; Methods; Competing interests; Authors' contributions; Acknowledgements; References Lawless JF: Statistical Models and Methods for Lifetime Data Book Description. (Eds.), Encyclopedia of Statistical Sciences, Vol. Publisher: Wiley-Interscience Page Count: 330. Lawless J: Statistical Models and Methods for Lifetime Data. The statistical analysis of failure time data. Statistical Models and Methods for Lifetime Data : PDF eBook Download. GO Statistical Models and Methods for Lifetime Data Author: Jerald F. A welcome addition to the literature on survival analysis.for a unified and thorough reference of classical theory and models, this book is an excellent choice. Language: English Released: 2002. 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.

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