Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. T Currently, there are a lack of intermediate /advanced level...Loe edasi...
Focusing on modeling survival data, longitudinal data, and error using the R programming language, this book demonstrates the analysis of data at repeated time points as well as on the occurrence of a related event. Suitable for statisticians, epi...Loe edasi...
(Ilmumisaeg: 29-Apr-2022, Multiple-component retail product, Kirjastus: Stata Press, ISBN-13: 9781597181365)
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or employees in firms. Longitudinal data are also cl...Loe edasi...
(Ilmumisaeg: 22-Oct-2021, Paperback / softback, Kirjastus: Stata Press, ISBN-13: 9781597181389)
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find...Loe edasi...
(Ilmumisaeg: 22-Oct-2021, Paperback / softback, Kirjastus: Stata Press, ISBN-13: 9781597181372)
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find...Loe edasi...
Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses common...Loe edasi...
This volume on research technologies in the behavioral sciences provides graduate level students and researchers with detailed information on the development of robust longitudinal analysis tools using the statistical modeling application R. The work...Loe edasi...
Wu (U. of British Columbia) introduces mixed effects models for longitudinal or clustered data when the observed data may be complex or incomplete. The graduate statistics textbook develops mixed effects models with measurement errors or censored res...Loe edasi...
