Biostatistics: A Computing Approach
- ISBN-10
- 1584888342
- ISBN-13
- 9781584888345
- Series
- Biostatistics
- Category
- Mathematics
- Pages
- 328
- Language
- English
- Published
- 2011-12-20
- Publisher
- CRC Press
- Author
- Stewart Anderson
Description
The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization and computational approaches associated with both modern and classical techniques. Furthermore, it promotes computing as a tool for performing both analyses and simulations that can facilitate such understanding. As a practical matter, programs in R and SAS are presented throughout the text. In addition to these programs, appendices describing the basic use of SAS and R are provided. Teaching by example, this book emphasizes the importance of simulation and numerical exploration in a modern-day statistical investigation. A few statistical methods that can be implemented with simple calculations are also worked into the text to build insight about how the methods really work. Suitable for students who have an interest in the application of statistical methods but do not necessarily intend to become statisticians, this book has been developed from Introduction to Biostatistics II, which the author taught for more than a decade at the University of Pittsburgh.
Get the book
Other editions
-
- 2018-11-13
- 720 pages
- Paperback
- Wiley
-
- 2014-08-01
- 5 pages
- Paperback
- New India Publishing Agency
Similar books
-
Biostatistics For Dummies
By John PezzulloBack to the basics — get up to speed on math and statistics concepts, find advice on selecting statistical software, and get an overview of clinical research The deal with data — find out how to collect data properly, summarize it ...
-
Biostatistics for Clinical and Public Health Research
By Melody S. GoodmanThe gold standard of clinical research is the randomized, double-blind study. In rare cases when there are extremely ... ˆ Unbiased Estimator: An estimator ˆ of the θ estimator is 148 Biostatistics for clinical and public health research.
-
Biostatistics with R: An Introductory Guide for Field Biologists
By Petr Šmilauer, Jan LepšA straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.
-
Introductory Biostatistics
By Chap T. Le, Lynn E. EberlyThis extensive update of Introductory Biostatistics, Second Edition includes: • A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs • A new chapter on testing and inference methods for ...
-
Basic Biostatistics
By GerstmanFeatures: Illustrative, relevant examples and exercises incorporated throughout the book. Answers to odd-numbered exercises provided in the back of the book. (Instructors may requests answers to even-numbered exercises from the publisher.
-
Biostatistics with R: An Introduction to Statistics Through Biological Data
By Babak ShahbabaBiostatistics 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.
-
Biostatistics for Epidemiology and Public Health Using R
By PhD, Bertram K.C. ChanIn the mid-1800s, an anesthesiologist named Dr. John Snow conducted a series of studies in London that led to him being called the “father of field epidemiology.” Dr. Snow investigated cholera outbreaks, both to discover the cause of ...
-
Biostatistics for Oncologists
By Kara Lynne Leonard, Adam SullivanBiostatistics for Oncologists is the first practical guide providing the essential biostatistical concepts, oncology-specific examples, and applicable problem sets for medical oncologists, radiation oncologists, and surgical oncologists.
-
Introductory Applied Biostatistics
By Ralph B. D'Agostino, Lisa Marie Sullivan, Alexa S. BeiserThe majority of the text addresses methods for statistical inference, including one- and two- sample tests for mean and proportion, analysis of variance techniques, correlation and regression analysis.
-
Topics in Biostatistics
By Walter T. AmbrosiusThis book presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. It introduces advanced methods in statistics, including how to choose and work with statistical packages.