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

The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including the journal includes accelerated failure time models, degradation processes, meta-analysis, models for multiple events, nonparametric estimation of survival functions, quality-of-life models, rank tests for comparing lifetime distributions, and reliability methods. 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]. The statistical analysis of failure time data. Lifetime Data Analysis is the only journal dedicated to statistical methods and applications for lifetime data. 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. Statistical Models and Methods for Lifetime Data, 2nd edition. 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 .. 1980 (1st ed.), 2002 (2nd ed.) ISBN 9780471363576; Jerald F. Top; Abstract; Background; Results; Discussion; Conclusions; Methods; Competing interests; Authors' contributions; Acknowledgements; References Lawless JF: Statistical Models and Methods for Lifetime Data Book Description. Monographs on Statistical Reliability --- A Soup? GO Statistical Models and Methods for Lifetime Data Author: Jerald F. Lawless J: Statistical Models and Methods for Lifetime Data. * Lawless (2004) Statistical Models and Methods for Lifetime Data, Wiley, 2nd Ed. Publisher: Wiley-Interscience Page Count: 330. Lecture 6 (Statistical Methods of Reliability Data) Maximum Likelihood Method, Large-Sample Theory (Asymptotic Solutions) and Small-Sample Method (Bootstrap Simulation), Bayesian Updating and Markov Chain Monte Carlo simulation * Lecture 7 (Time-Dependent Structural Reliability) Formulations, . Fitting Lifetime Data to a Weibull Model.