Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It provides learning experience on recent developments in statistical methodologies in biopharmaceutical applications and FDA regulations. This book honors 80 years of contributions and dedication of the Deming Conference in biostatistics, and biopharmaceutical clinical trial methodology and applications. All chapters are contributed by world-class and prominent Deming speakers, who've contributed their cutting-edge research and developments to the community. Volume 1 covers Historical Milestones in Clinical Trial Design, FDA biopharmaceutical design guidance, and emerging development in Clinical Trial Design Methodology. This book aims to booster research, education, and training in biostatistics and in biopharmaceutical research and development.

Biometry. --- Clinical medicine --- Public health. --- Sampling (Statistics). --- Data mining. --- Biostatistics. --- Clinical Research. --- Public Health. --- Survey Methodology. --- Data Mining and Knowledge Discovery. --- Research. --- Sampling (Statistics)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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