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  1. Book ; Online ; E-Book: Statistical analytics for health data science with SAS and R

    Chen, Ding-Geng / Peace, Karl E.

    (Chapman and Hall/CRC Biostatistics)

    2023  

    Abstract: This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applications to health and health-related data. The data and computing programs will be available to facilitate ... ...

    Author's details Jeffrey Wilson, Ding-Geng Chen, and Karl E. Peace
    Series title Chapman and Hall/CRC Biostatistics
    Abstract This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applications to health and health-related data. The data and computing programs will be available to facilitate readers' learning experience.
    Keywords R (Computer program language) ; Public health/Social aspects
    Subject code 519.502855133
    Language English
    Size 1 online resource (280 pages)
    Publisher CRC Press, Taylor & Francis Group
    Publishing place Boca Raton, FL
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 1-00-331567-4 ; 1-000-84882-5 ; 1-000-84886-8 ; 1-003-31567-4 ; 1-03-232562-3 ; 978-1-00-331567-4 ; 978-1-000-84882-3 ; 978-1-000-84886-1 ; 978-1-003-31567-4 ; 978-1-03-232562-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; E-Book: Modern Statistical Methods for Health Research

    Zhao, Yichuan / Chen, Ding-Geng

    (Emerging Topics in Statistics and Biostatistics,)

    2021  

    Abstract: 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 ... ...

    Author's details edited by Yichuan Zhao, (Din) Ding-Geng Chen
    Series title Emerging Topics in Statistics and Biostatistics,
    Abstract 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.
    Keywords Biometry ; Medicine/Research ; Biology/Research ; Biostatistics ; Biomedical Research
    Subject code 610.21
    Language English
    Size 1 online resource (506 pages)
    Edition 1st ed. 2021.
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-72437-9 ; 3-030-72436-0 ; 978-3-030-72437-5 ; 978-3-030-72436-8
    DOI 10.1007/978-3-030-72437-5
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online ; E-Book: Modern biostatistical methods for evidence-based global health research

    Chen, Ding-Geng / Manda, Samuel O. M. / Chirwa, Tobias F.

    (Emerging topics in statistics and biostatistics)

    2022  

    Abstract: This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical ... ...

    Author's details Ding-Geng (Din) Chen, Samuel O. M. Manda, Tobias F. Chirwa, editors
    Series title Emerging topics in statistics and biostatistics
    Abstract This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data. It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.
    Keywords Statistics ; Biology ; Biometria
    Subject code 170
    Language English
    Size 1 online resource (480 pages)
    Edition 1st ed. 2022.
    Publisher Springer
    Publishing place Cham
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-031-11012-9 ; 9783031110115 ; 978-3-031-11012-2 ; 3031110110
    DOI 10.1007/978-3-031-11012-2
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online ; E-Book: Statistical Modeling in Biomedical Research

    Zhao, Yichuan / Chen, Ding-Geng (Din)

    Contemporary Topics and Voices in the Field

    (Emerging Topics in Statistics and Biostatistics,)

    2020  

    Abstract: This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel ... ...

    Author's details edited by Yichuan Zhao, Ding-Geng (Din) Chen
    Series title Emerging Topics in Statistics and Biostatistics,
    Abstract This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers of biostatistics and biomedical research discuss the statistical procedures, useful methods, and their novel applications in biostatistics research. Interdisciplinary in scope, the volume as a whole reflects the latest advances in statistical modeling in biomedical research, identifies impactful new directions, and seeks to drive the field forward. It also fosters the interaction of scholars in the arena, offering great opportunities to stimulate further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their applications Large scale data analysis and its applications Biomedical research and modeling Survival analysis with complex data structure and its applications.
    Keywords Biometry ; Quantitative research ; Data mining ; Biostatistics ; Data Analysis and Big Data ; Data Mining and Knowledge Discovery
    Subject code 570.15195
    Language English
    Size 1 online resource (XVIII, 491 p. 107 illus., 79 illus. in color.)
    Edition 1st ed. 2020.
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online ; E-Book
    Note Includes index.
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-33416-3 ; 3-030-33415-5 ; 978-3-030-33416-1 ; 978-3-030-33415-4
    DOI 10.1007/978-3-030-33416-1
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Book ; Online ; E-Book: Applied meta-analysis with R and Stata

    Chen, Ding-Geng / Peace, Karl E.

    (Chapman and Hall/CRC Biostatistics)

    2021  

    Abstract: Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is ... ...

    Author's details Ding-Geng (Din) Chen, Karl E. Peace
    Series title Chapman and Hall/CRC Biostatistics
    Abstract Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysisA useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs. --Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions. What's New in the Second Edition: Adds Stata programs along with the R programs for meta-analysis Updates all the statistical meta-analyses with R/Stata programs Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.
    Keywords R (Computer program language) ; Meta-analysis
    Subject code 610.7
    Language English
    Size 1 online resource (457 pages) :, illustrations
    Edition Second edition.
    Publisher Chapman & Hall/CRC
    Publishing place Boca Raton
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 0-429-59023-7 ; 0-429-59217-5 ; 0-429-06124-2 ; 0-367-70934-1 ; 0-367-18383-8 ; 978-0-429-59023-8 ; 978-0-429-59217-1 ; 978-0-429-06124-0 ; 978-0-367-70934-1 ; 978-0-367-18383-7
    DOI 10.1201/9780429061240
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

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  6. Book ; Online: Antimicrobial Resistance and Anti-Biofilms

    Liu, Junyan / Chen, Ding-Qiang / Tan, Yulong / Gan, Ren-You / Qu, Guanggang / Xu, Zhenbo

    2023  

    Keywords Research & information: general ; Biology, life sciences ; Microbiology (non-medical) ; carbapenem-resistant Enterobacteriaceae ; metallo-β-lactamases ; NDM producers ; complicated urinary tract infections ; outcomes ; costs ; burden of illness ; Medicare ; Serratia marcescens ; multidrug resistance ; mcr-9 ; blaIMP-26 ; megaplasmids IMP-26 ; evolutionary pathway ; Canarium patentinervium Miq. ; antibiofilm activity ; AcrAB-TolC efflux pump ; molecular docking ; Autodock Vina ; Staphylococcus aureus ; persisters ; biofilm ; antimicrobial activity ; drug combination ; Ralstonia mannitolilytica ; chronic obstructive pulmonary disease (COPD) ; catheter-related bloodstream infection (CRBSI) ; commensal ; pathogen ; chitosan ; nanoparticle ; antibiofilm ; cinnamaldehyde ; invasive plants ; natural products ; molecular networking ; Candida albicans ; betulinic acid ; biofilms ; extracellular matrix ; quorum sensing ; antibiotic resistance ; Streptococcus mutans ; dental caries ; Casearia sylvestris
    Language English
    Size 1 electronic resource (164 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030722373
    ISBN 9783036569505 ; 3036569502
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  7. Book ; Online ; E-Book: Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

    Wilson, Jeffrey / Chen, Ding-Geng / Vazquez-Arreola, Elsa

    (Emerging Topics in Statistics and Biostatistics,)

    2020  

    Abstract: This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of ... ...

    Author's details by Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen
    Series title Emerging Topics in Statistics and Biostatistics,
    Abstract This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health.
    Keywords Biometry ; Statistics ; Health services administration ; Public health ; Biostatistics ; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences ; Statistical Theory and Methods ; Health Care Management ; Public Health
    Subject code 511.8
    Language English
    Size 1 online resource (XXIII, 166 p. 20 illus.)
    Edition 1st ed. 2020.
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-48904-3 ; 3-030-48903-5 ; 978-3-030-48904-5 ; 978-3-030-48903-8
    DOI 10.1007/978-3-030-48904-5
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

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  8. Book: Statistical methods for global health and epidemiology

    Chen, Xinguang / Chen, Ding-Geng

    principles, methods and applications

    (ICSA Book Series in Statistics)

    2020  

    Author's details edited by Xinguang Chen, (Din) Ding-Geng Chen
    Series title ICSA Book Series in Statistics
    Keywords Statistics  ; Biostatistics ; Epidemiology
    Subject code 519.5
    Language English
    Size XV, 403 Seiten, Illustrationen
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book
    HBZ-ID HT020451375
    ISBN 978-3-030-35259-2 ; 9783030352608 ; 3-030-35259-5 ; 3030352609
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2020 A 596 available for loan (reading room) Lesesaal EG

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  9. Book ; Online ; E-Book: Hepatitis B Virus and liver disease

    Kao, Jia-Horng / Chen, Ding-Shinn

    2018  

    Author's details Jia-Horng Kao, Ding-Shinn Chen editors
    Keywords Medicine ; Virology ; Hepatology ; Infectious diseases
    Subject code 616.36
    Language English
    Size 1 Online-Ressource (xvii, 360 Seiten), Illustrationen
    Publisher Springer
    Publishing place Singapore
    Publishing country Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019616510
    ISBN 978-981-10-4843-2 ; 9789811048425 ; 981-10-4843-6 ; 9811048428
    DOI 10.1007/978-981-10-4843-2
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  10. Book ; Online ; E-Book: Statistical causal inferences and their applications in public health research

    He, Hua / Wu, Pan / Chen, Ding-Geng

    (ICSA book series in statistics)

    2016  

    Author's details Hua He, Pan Wu, Ding-Geng (Din) Chen editors
    Series title ICSA book series in statistics
    Keywords Causality ; Statistics as Topic ; Randomized Controlled Trials as Topic ; Models, Statistical
    Language English
    Size 1 Online-Ressource (xv, 321 Seiten), Illustrationen, Diagramme
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019471997
    ISBN 978-3-319-41259-7 ; 9783319412573 ; 3-319-41259-0 ; 3319412574
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

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