Understanding biostatistics
"Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics and explores the nature of statistical tests, the tests that produces the p-values and basic aspects of clinical trials. The concept of distribution functions are discussed, including the Guassian distribution and its importance in biostatistics. The book also looks at problems of estimating parameters in statistical models and looks at the similarities between different models. The author does …
Read More ↓Title Statements
- Full title :Understanding biostatistics / Anders Källén.
Summary
"Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics and explores the nature of statistical tests, the tests that produces the p-values and basic aspects of clinical trials. The concept of distribution functions are discussed, including the Guassian distribution and its importance in biostatistics. The book also looks at problems of estimating parameters in statistical models and looks at the similarities between different models. The author does not set out to provide the definitive text on biostatistics, but rather to provide a guide to the concepts involved and their application in everyday work"--Provided by publisher
Read More ↓Edition Statements
- Publication Date:2011.
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Chichester, West Sussex, U.K
- Language:eng
- Publication Date:2011.
The Physical Object
- Description:1 online resource (xii, 375 pages) : : illustrations
Edition Identifiers
- ISBN:9781119992684, 1119992680, 1283405423, 9781283405423, 9786613405425, 6613405426
- oclc:ocn711780380
- LC Classification:QH323.5
- Dewey Decimal:570.1/5195
Table of Contents
Statistics and medical science -- Observational studies and the need for clinical trials -- Study design and the bias issue -- The anatomy of a statistical test -- Learning about parameters, and some notes on planning -- Empirical distribution functions -- Correlation and regression in bivariate distributions -- How to compare the outcome in two groups -- Least squares, linear models and beyond -- Analysis of dose response -- Hazards and censored data -- From the log-rank test to the Cox proportional hazards model -- Remarks on some estimation methods.
Read More ↓Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
Keywords in evolutionary biology
Cross-over experiments: design, analysis, and application
Spatial simulation: exploring pattern and process
Applied longitudinal data analysis: modeling change and event occurrence
Singer, Judith D.
Applied longitudinal data analysis: modeling change and event occurence
Singer, Judith D.
Applied longitudinal data analysis: modeling change and event occurrence
Singer, Judith D.
Applied longitudinal data analysis: modeling change and event occurrence
Singer, Judith D.
Keywords in evolutionary biology
Rate & Review