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"Learning evidence-based medicine is a requirement in medicine, PA, NP, pharmacy, and most other health practitioner fields. For example, most PA programs have required coursework in evidence-based programs during the first (didactic) year; medical students have this content woven into their clinical medicine coursework"--

Biometry --- Evidence-Based Medicine --- Epidemiologic Methods --- methods --- Medical literature --- Medicine --- Biometry. --- Epidemiologic Methods. --- Evaluation. --- Research --- methods.

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This book presents and discusses the numerous measures of test performance that can be derived from 2x2 tables. Worked examples based on pragmatic test accuracy study data are used in chapters to illustrate relevance to day-to-day clinical practice. Readers will gain a good understanding of sensitivity and specificity and predictive values along with many other parameters. The contents are highly structured and the use of worked examples facilitates understanding and interpretation. This book is a resource for clinicians in any discipline who are involved in the performance or assessment of test accuracy studies, and professionals in the disciplines of machine learning or informatics wishing to gain insight into clinical applications of 2x2 tables.

Biomathematics. Biometry. Biostatistics --- Neuropathology --- Programming --- Computer. Automation --- biomathematica --- biostatistiek --- hersenen --- programmeren (informatica) --- medische informatica --- biometrie --- Contingency tables. --- Informàtica mèdica

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Biometry. --- Evidence-Based Practice. --- Evidence Based Health Care Management --- Evidence Based Healthcare Management --- Evidence Based Management, Health Care --- Evidence Based Management, Healthcare --- Evidence-Based Healthcare --- Evidence-Based Health Care --- Evidence Based Health Care --- Evidence Based Healthcare --- Evidence Based Practice --- Evidence-Based Health Cares --- Evidence-Based Healthcares --- Health Care, Evidence-Based --- Health Cares, Evidence-Based --- Healthcare, Evidence-Based --- Healthcares, Evidence-Based --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Statistical methods --- Evidence Gaps --- Biometry

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This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers. It focuses on theories, principles, techniques, and methods essential for data processing and quantitative analysis to address medical, health, and behavioral challenges. Students will learn to access to existing data and process their own data, quantify the distribution of a medical or health problem to inform decision making; to identify influential factors of a disease/behavioral problem; and to support health promotion and disease prevention. Concepts, principles, methods and skills are demonstrated with SAS programs, figures and tables generated from real, publicly available data. In addition to various methods for introductory analysis, the following are featured, including 4-dimensional measurement of distribution and geographic mapping, multiple linear and logistic regression, Poisson regression, Cox regression, missing data imputing, and statistical power analysis. .

Statistical science --- Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Hygiene. Public health. Protection --- Epidemiology --- volksgezondheid --- biomathematica --- biostatistiek --- statistiek --- epidemiologie --- biometrie --- Public health. --- Epidemiology. --- Statistics. --- Diseases --- Public health --- Community health --- Health services --- Hygiene, Public --- Hygiene, Social --- Public health services --- Public hygiene --- Social hygiene --- Health --- Human services --- Biosecurity --- Health literacy --- Medicine, Preventive --- National health services --- Sanitation --- Statistical analysis --- Statistical data --- Statistical methods --- Mathematics --- Econometrics --- Statistical methods. --- Research. --- Epidemiological research --- Epidemiologia --- Estadística matemàtica --- Estadística descriptiva --- Inferència estadística --- Matemàtica estadística --- Mètodes estadístics --- Estadística --- Anàlisi d'error (Matemàtica) --- Anàlisi de regressió --- Anàlisi de sèries temporals --- Anàlisi de variància --- Anàlisi multivariable --- Anàlisi seqüencial --- Astronomia estadística --- Correlació (Estadística) --- Dependència (Estadística) --- Estadística no paramètrica --- Estadística robusta --- Física estadística --- Mètode dels moments (Estadística) --- Models lineals (Estadística) --- Models no lineals (Estadística) --- Teoria de l'estimació --- Teoria de la predicció --- Tests d'hipòtesi (Estadística) --- Biometria --- Mostreig (Estadística) --- Salut pública --- Comorbiditat --- Epidèmies --- Epidemiologia molecular --- Farmacoepidemiologia --- Morbiditat --- Malalties --- Biometry. --- Applied Statistics. --- Biostatistics. --- Public Health. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics

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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.

Estadística mèdica --- Biometria --- Dades massives --- Macrodades --- Bases de dades --- Bioestadística --- Biologia --- Estadística --- Herència (Biologia) --- Anàlisi de supervivència (Biometria) --- Censos --- Genètica quantitativa --- Biomatemàtica --- Estadística matemàtica --- Mostreig (Estadística) --- Estadística sanitària --- Indicadors de salut --- Mortalitat --- Medical statistics. --- Big data. --- Data sets, Large --- Large data sets --- Data sets --- Health --- Health statistics --- Medicine --- Statistics --- Statistical methods --- Biometry. --- Biology --- Biostatistics. --- Biomedical Research. --- Research. --- Biological research --- Biomedical research --- Health Workforce --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics