Provided by the US National Library of Medicine, PubMed is a freely available database containing more than 26 million citations for biomedical literature from MEDLINE, life sciences journals, and online books.
MathSciNet is a comprehensive database of the world's literature on mathematics and its applications in a wide range of disciplines, including statistics, computer science, operation research, econometrics, engineering, physics, biology, and many other related areas. Coverage is 1940 to the present.
Scopus is an abstract and citation database of research literature and quality web sources in the medical, scientific, technical, social sciences, and arts and humanities fields. Scopus covers nearly 18,000 titles from more than 5,000 publishers, and more half of its content comes from outside the U.S. The database provides powerful citation analysis tools for articles, authors, institutions, and journal metrics.
Access the Science Citation Index, Social Science Citation Index and more through the Web of Science Core Collection. Covers multidisciplinary subjects, including the sciences, social sciences, arts and humanities, and more than 12,000 journals. Also includes citations to conference proceedings.
Access information on measurement instruments including questionnaires, index measures, coding schemes/manuals, rating scales, projective techniques, and more in the health fields, psychosocial sciences, organizational behavior, and library and information science.
If you don't see the journal you are looking for in the list below, use the information on this page to search for online journals within the Library's catalog or through various publisher collections and databases.
The American Statistician is a peer-reviewed scientific journal covering statistics published on behalf of the American Statistical Association. This journal may be used for exploring general-interest articles about current statistical problems and general statistic articles or those for the teaching of statistics.
A publication of the German and Austro-Swiss Regions of the International Biometric Society. This journal covers statistical methods and applications in life sciences, which includes medicine, environmental sciences and agriculture.
Official journal of the Network Computational and Methodological Statistics (CMStatistics) and the International Association of Statistical Computing (IASC). This journal is committed to research in the fields of computational statistics and data analysis. The journal is divided into 3 areas: I) computational statistics, II) statistical methodology for data analysis, and III) special applications.
Sponsored by IEEE Communications Society, IEEE Computer Society, IEEE Signal Processing Society, and IEEE Engineering in Medicine & Biology. This journal published original papers about advances in the field of biomedical and health informatics.
This journal provides a platform for communication between applied statisticians and users of applied statistical techniques in areas of business, computing, economics, ecology, education, medicine, operational research and sociology.
This journal is concentrated on papers which deal with solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them.
Comprehensive coverage of classical and modern methods of biostatistics Biostatistical Methods focuses on the assessment of risks and relative risks on the basis of clinical investigations. It develops basic concepts and derives biostatistical methods through both the application of classical mathematical statistical tools and more modern likelihood-based theories. The first half of the book presents methods for the analysis of single and multiple 2x2 tables for cross-sectional, prospective, and retrospective (case-control) sampling, with and without matching using fixed and two-stage random effects models. The text then moves on to present a more modern likelihood- or model-based approach, which includes unconditional and conditional logistic regression; the analysis of count data and the Poisson regression model; and the analysis of event time data, including the proportional hazards and multiplicative intensity models.
Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from across specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. Areas covered in the fourth edition include a new chapter on risk prediction, risk reclassification and evaluation of biomarkers, new material on propensity analyses, and a vastly expanded chapter on genetic epidemiology, which is particularly relevant to those who wish to understand the epidemiological and statistical aspects of scientific articles in this rapidly advancing field. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics.
Learn how to solve basic statistical problems with Ron Cody's easy-to-follow style using the point-and-click SAS Studio tasks. Aimed specifically at the health sciences, Biostatistics by Example Using SAS Studio, provides an introduction to SAS Studio tasks. The book includes many biological and health-related problem sets and is fully compatible with SAS University Edition. After reading this book you will be able to understand temporary and permanent SAS data sets, and you will learn how to create them from various data sources. You will also be able to use SAS Studio statistics tasks to generate descriptive statistics for continuous and categorical data.
Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiologic studies. The book shares the authors' insights gathered through decades of collective experience teaching in the academic programs of biostatistics and epidemiology. Maintaining a focus on the application of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases. The book includes coverage of data description, graph construction, significance tests, linear regression models, analysis of variance, categorical data analysis, logistic regression model, poisson regression model, survival analysis, analysis of correlated data, and advanced programming in STATA.
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander.
Concise, fast-paced, intensive introduction to clinical research design for students and clinical research professionals Readers will gain sufficient knowledge to pass the United States Medical Licensing Examination part I section in Epidemiology
Essentials of Biostatistics in Public Health, Third Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health. Many examples are drawn directly from the author's remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations.
Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R.
Jekel's Epidemiology, Biostatistics, Preventive Medicine, and Public Health is the only textbook that combines the disciplines of medical epidemiology, biostatistics, preventive medicine, and public health in one convenient resource. Written by renowned epidemiologists and public health experts, this text presents the information you need with a clinical focus, using real-life medical examples throughout. With review questions in each chapter to maximize knowledge retention and target key areas of review, it serves as an outstanding resource for USMLE prep - and is recommended by the American Board of Preventive Medicine as a top review source for its core specialty examination! Grasp and retain vital information easily thanks to quick-reference boxes that showcase key concepts and calculations; succinct text; and dynamic illustrations that facilitate learning in a highly visual approach. Spend more time reviewing and less time searching thanks to an extremely focused, "high-yield" presentation.
As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches. As this book's expert contributors show, BNP approaches can be the answer. Survival Analysis, in particular survival regression, has traditionally used BNP, but BNP's potential is now very broad. This applies to important tasks like arrangement of patients into clinically meaningful subpopulations and segmenting the genome into functionally distinct regions. This book is designed to both review and introduce application areas for BNP.
Designed to help readers develop the practical skills they need to become effective public health practitioners, this concise text gives an easily digested overview of public health and health promotion theory in accessible language and diagrams, before moving on to the ways readers can apply this in practice.
Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.
On this guide, you will find helpful information about the new software available on the HSL Digital Union computers that will help answer questions like: "What does this software do?", "How could I use this software in my research?", "How can I learn more about how to use this program?", and "How can I get this software on my personal computer?"
This annual report provides the estimated numbers of cancer cases and deaths in 2017, as well as current cancer incidence, mortality, and survival statistics. Also included is information on risk factors, early detection, and treatment.
The Organisation for Economic Co-operation and Development promotes policies that will improve the economic and social well-being of people around the world by providing a forum for governments to work together. This website provides information regarding issues that affect daily life for people around the world.
This website is a project that provides free, up-to-date, and easy-to-use health data spanning many categories for all 50 states, counties, and the entire United States. Users are able to map, rank, and trend data.