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Statistical Models and Methods for Lifetime Data

Statistical Models and Methods for Lifetime Data

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

Statistical Models and Methods for Lifetime Data



Download Statistical Models and Methods for Lifetime Data




Statistical Models and Methods for Lifetime Data Jerald F. Lawless ebook
Format: djvu
Page: 330
Publisher: Wiley-Interscience
ISBN: 0471372153, 9780471372158


Language: English Released: 2002. 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 .. Journal of the Royal Statistical Society, 34, 187-220. 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]. Statistical methods for survival data analysis. Regression models and life tables. Mathematical methods in statistics. The statistical analysis of failure time data. GO Statistical Models and Methods for Lifetime Data Author: Jerald F. Belmont, CA: Lifetime Learning. A computer program for comparing K samples with right-censored data. Statistical Models and Methods for Lifetime Data, 2nd edition. 1980 (1st ed.), 2002 (2nd ed.) ISBN 9780471363576; Jerald F. Lawless J: Statistical Models and Methods for Lifetime Data. Top; Abstract; Background; Results; Discussion; Conclusions; Methods; Competing interests; Authors' contributions; Acknowledgements; References Lawless JF: Statistical Models and Methods for Lifetime Data Book Description. Publisher: Wiley-Interscience Page Count: 330. 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. 45.Long-Memory Time Series: Theory and Methods 46.Statistical Models and Methods for Lifetime Data 47.Uncertainty Analysis with High Dimensional Dependence Modelling 48.Simulation and the Monte Carlo Method 49.

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