Biostatistics for medical and biomedical practitioners : an interpretative guide for medicine and biology /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hoffman, Julien I. E. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier, [2015]
Temas:
Biometry > Computer simulation.
Biometry > Statistical methods.
Biometry > Methodology.
Biomathematics.
Biom�etrie > Simulation par ordinateur.
Biom�etrie > M�ethodes statistiques.
Biom�etrie > M�ethodologie.
Biomath�ematiques.
NATURE > Reference.
SCIENCE > Life Sciences > Biology.
SCIENCE > Life Sciences > General.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • BIOSTATISTICS FOR MEDICAL AND BIOMEDICAL PRACTITIONERS
  • Copyright
  • CONTENTS
  • ABOUT THE AUTHOR
  • PREFACE
  • REFERENCES
  • ACKNOWLEDGMENTS
  • 1 Basic Aspects of Statistics
  • 1
  • Basic Concepts
  • INTRODUCTION
  • Populations and Samples
  • The Effects of Variability
  • Variables and Parameters
  • BASIC USES OF STATISTICS
  • Description
  • Statistical Inference
  • DATA
  • Models
  • GENERAL APPROACH TO STUDY DESIGN
  • A BRIEF HISTORY OF STATISTICS
  • REFERENCES
  • 2
  • Statistical Use and Misuse in Scientific Publications
  • EARLY USE OF STATISTICS.
  • CURRENT TESTS IN COMMON USE
  • STATISTICAL MISUSE
  • BASIC GUIDES TO STATISTICS
  • REFERENCES
  • 3
  • Some Practical Aspects
  • STATISTICS PROGRAMS
  • VARIABLES
  • MEASUREMENT SCALES
  • DISPLAYING DATA SETS
  • Practical Issues of Data Sets
  • ACCURACY OF MEASUREMENT
  • Rounding off and Truncation
  • Accuracy and Precision
  • NOTATION
  • OPERATORS
  • WEIGHTS
  • STATISTICS BOOKS
  • REFERENCES
  • 4
  • Exploratory Descriptive Analysis
  • BASIC CONCEPTS
  • Counting
  • Distribution
  • A Sorting Experiment
  • Histograms and Frequency Polygons
  • Shapes of Distributions
  • Transformations.
  • Stem-and-Leaf Diagrams
  • Measures of Central Tendency (Location)
  • Arithmetic Mean
  • Median and Quantiles
  • Mode
  • The Geometric Mean
  • Harmonic Mean
  • Measures of Variability
  • Range
  • Standard Deviation
  • Interquartile Distance
  • Coefficient of Variation
  • Tables and Graphs
  • Tables
  • Figures and Graphs
  • Box Plots
  • ADVANCED AND ALTERNATIVE CONCEPTS
  • Classical versus Robust Methods
  • General Aspects
  • Trimean
  • Trimming and Winsorization
  • Order Statistics
  • Median Absolute Deviation
  • Propagation of Errors
  • Combining Experiments (Addition).
  • Simple Multiplication (Scale Factor)
  • Multiplying Means (Taylor, 1982)
  • Dividing Means (Taylor, 1982)
  • Three Useful Applications of the Variance
  • APPENDIX
  • Least Squares Principle
  • REFERENCES
  • 5
  • Basic Probability
  • INTRODUCTION
  • TYPES OF PROBABILITY
  • BASIC PRINCIPLES AND DEFINITIONS
  • Additional Definitions
  • CONDITIONAL PROBABILITY
  • BAYES' THEOREM
  • REFERENCES
  • 2 Continuous Distributions
  • 6
  • Normal Distribution
  • INTRODUCTION
  • NORMAL OR GAUSSIAN CURVE
  • The Quincunx
  • Properties of the Normal Curve
  • POPULATIONS AND SAMPLES.
  • DESCRIPTION OF THE DISTRIBUTION SHAPE
  • Skewness
  • Kurtosis
  • DETERMINING NORMALITY
  • UNGROUPED DATA
  • HOW IMPORTANT IS NORMALITY?
  • REFERENCES
  • 7
  • Statistical Limits and the Central Limit Theorem
  • CENTRAL LIMIT THEOREM
  • Generalizations Based on a Single Sample
  • Setting CL
  • TOLERANCE LIMITS
  • REPORTING RESULTS
  • Graphic Representation
  • REFERENCES
  • 8
  • Other Continuous Distributions
  • CONTINUOUS UNIFORM DISTRIBUTION
  • EXPONENTIAL DISTRIBUTION
  • LOGARITHMIC DISTRIBUTION
  • WEIBULL DISTRIBUTION
  • CHI-SQUARE DISTRIBUTION
  • VARIANCE RATIO (F) DISTRIBUTION
  • REFERENCES.
  • 9
  • Outliers and Extreme Values.

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