1# Library to Find Best eBook for Read
Author : Dankmar Böhning
Release : 2018
Genre : Medical statistics
Kind : eBook
Book Rating : 449/5 ( reviews)
Book Synopsis Capture-recapture Methods for the Social and Medical Sciences by : Dankmar Böhning
Download or read book Capture-recapture Methods for the Social and Medical Sciences written by Dankmar Böhning. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dankmar Bohning
Release : 2017-07-28
Genre : Mathematics
Kind : eBook
Book Rating : 970/5 ( reviews)
Book Synopsis Capture-Recapture Methods for the Social and Medical Sciences by : Dankmar Bohning
Download or read book Capture-Recapture Methods for the Social and Medical Sciences written by Dankmar Bohning. This book was released on 2017-07-28. Available in PDF, EPUB and Kindle. Book excerpt: Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches. The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.
Author : Yichuan Zhao
Release : 2021-10-14
Genre : Medical
Kind : eBook
Book Rating : 379/5 ( reviews)
Book Synopsis Modern Statistical Methods for Health Research by : Yichuan Zhao
Download or read book Modern Statistical Methods for Health Research written by Yichuan Zhao. This book was released on 2021-10-14. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss the statistical procedures, useful methods, and novel applications in biostatistics research. It also includes discussions of potential future directions of biomedicine and new statistical developments for health research, with the intent of stimulating research and fostering the interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data Clinical trials, FDR, and applications in health science Big network analytics and its applications in GWAS Survival analysis and functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are working in biomedicine and health, other practitioners in the health sciences, and graduate students and researchers in biostatistics and health.
Author : Hon Keung Tony Ng
Release : 2022-11-25
Genre : Mathematics
Kind : eBook
Book Rating : 259/5 ( reviews)
Book Synopsis Recent Advances on Sampling Methods and Educational Statistics by : Hon Keung Tony Ng
Download or read book Recent Advances on Sampling Methods and Educational Statistics written by Hon Keung Tony Ng. This book was released on 2022-11-25. Available in PDF, EPUB and Kindle. Book excerpt: This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling. S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes' main areas of research, this volume is structured into three main parts: I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods II. nonsampling errors in statistical sampling III. educational and behavioral statistics. This collection will be of interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics.
Author : Li-Chun Zhang
Release : 2019-04-18
Genre : Mathematics
Kind : eBook
Book Rating : 729/5 ( reviews)
Book Synopsis Analysis of Integrated Data by : Li-Chun Zhang
Download or read book Analysis of Integrated Data written by Li-Chun Zhang. This book was released on 2019-04-18. Available in PDF, EPUB and Kindle. Book excerpt: The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable statistical inference, or to generate new statistical data for purposes that cannot be served by each source on its own. This can yield significant gains for scientific as well as commercial investigations. However, valid analysis of such data should allow for the additional uncertainty due to entity ambiguity, whenever it is not possible to state with certainty that the integrated source is the target population of interest. Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity: statistical analysis of linked datasets that may contain linkage errors; datasets created by a data fusion process, where joint statistical information is simulated using the information in marginal data from non-overlapping sources; and estimation of target population size when target units are either partially or erroneously covered in each source. Covers a range of topics under an overarching perspective of data integration. Focuses on statistical uncertainty and inference issues arising from entity ambiguity. Features state of the art methods for analysis of integrated data. Identifies the important themes that will define future research and teaching in the statistical analysis of integrated data. Analysis of Integrated Data is aimed primarily at researchers and methodologists interested in statistical methods for data from multiple sources, with a focus on data analysts in the social sciences, and in the public and private sectors.
