Essential biostatistics
a nonmathematical approach
Motulsky, Harvey
creator
text
bibliography
nyu
2016
First Edition
monographic
eng
xv, 192 pages: illustrations ; 24 cm
With its engaging and conversational tone, Essential Biostatistics: A Nonmathematical Approach provides a clear introduction to statistics for students in a wide range of fields, and a concise statistics refresher for scientists and professionals who need to interpret statistical results. It explains the ideas behind statistics in nonmathematical terms, offers perspectives on how to interpret published statistical results, and points out common conceptual traps to avoid. It can be used as a stand-alone text or as a supplement to a traditional statistics textbook
Statistics and Probability Are Not Intuitive -- The Complexities of Probability -- From Sample to Population -- Confidence Intervals -- Types of Variables -- Graphing Variability -- Quantifying Variation -- The Gaussian Distribution -- The Lognormal Distribution and Geometric Mean -- Confidence Interval for a Mean -- Error Bars -- Comparing Groups with Confidence Intervals -- Comparing Groups with P Values -- Statistical Significance and Hypothesis Testing -- Interpreting a Result that Is (Or Is Not) Statistically Significant -- How Common Are Type I Errors? -- Multiple Comparisons -- Statistical Power and Sample Size -- Commonly Used Statistical Tests -- Normality Tests -- Outliers -- Correlation -- Simple Linear Regression -- Nonlinear Regression -- Multiple and Logistic Regression -- Summary: The Key Concepts of Statistics -- Statistical Traps to Avoid
Harvey Motulsky, GraphPad Software, Inc.
Includes bibliographical references and index.
Medicine
Research
Statistical methods
Medicina
Investigaciones
Métodos estadísticos
Biometry
Biometría
Mathematical statistics
Estadística matemática
R853.S7 M682 2016
570.15195 M922e 2016
9780199365067
2015013963
DLC
150409
20180317192551.0
18570292
eng