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This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on Biostatistics and Bioinformatics was to stimulate research, foster interaction among researchers in field, and offer opportunities for learning and facilitating research collaborations in the era of big data. The resulting volume offers timely insights for researchers, students, and industry practitioners. .

Biometry --- Bioinformatics --- Mathematical statistics. --- Big data. --- Statistics. --- Statistical methods. --- Statistical Theory and Methods. --- Big Data/Analytics. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Biostatistics. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Data sets, Large --- Large data sets --- Data sets --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistics . --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics

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Censored observations (Statistics). --- Statistics --- Estadística --- Metodologia --- Methodology. --- Censored data (Statistics) --- Censoring (Statistics) --- Mathematical statistics --- Lògica --- Heurística --- Interdisciplinarietat --- Investigació amb mètodes mixtos --- Investigació quantitativa --- Metodologia de la ciència --- Metodologia de les ciències socials --- Anàlisi --- Investigació --- Anàlisi estadística --- Control estadístic --- Informació estadística --- Economia --- Matemàtica --- Allisament (Estadística) --- Anàlisi de regressió --- Anàlisi de variància --- Biometria --- Censos --- Correlació (Estadística) --- Presa de decisions (Estadística) --- Estadística comercial --- Estadística demogràfica --- Estadística econòmica --- Estadística educativa --- Estadística financera --- Estadística industrial --- Estadística matemàtica --- Estadística mèdica --- Mitjana (Estadística) --- Models lineals (Estadística) --- Models no lineals (Estadística) --- Serveis estadístics --- Sondejos d'opinió --- Econometria

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This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation.

Statistical science --- Biomathematics. Biometry. Biostatistics --- biomathematica --- biostatistiek --- statistiek --- biometrie --- statistisch onderzoek

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Biomathematics. Biometry. Biostatistics --- Human medicine --- biomathematica --- biostatistiek --- geneeskunde --- biometrie

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The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference, and it can be used in graduate level classes.

Statistics. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Public Health. --- Laboratory Medicine. --- Medical laboratories. --- Public health. --- Statistique --- Santé publique --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Public health --- Statistical methods. --- Community health --- Health services --- Hygiene, Public --- Hygiene, Social --- Public health services --- Public hygiene --- Sanitary affairs --- Social hygiene --- Laboratory medicine. --- Health --- Human services --- Biosecurity --- Health literacy --- Medicine, Preventive --- National health services --- Sanitation --- Diagnosis, Laboratory --- Health facilities --- Laboratories --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics . --- Clinical medicine --- Clinical pathology --- Diagnostic laboratory tests --- Laboratory diagnosis --- Laboratory medicine --- Medical laboratory diagnosis --- Diagnosis --- Pathology --- Biometry. --- Medicine --- Biology --- Biostatistics. --- Biomedical Research. --- Research. --- Biological research --- Biomedical research --- Health Workforce --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics