Basic Biostatistics For Medical And Biomedical Practitioners

Title Page
	ABOUT THE AUTHOR
	PREFACE
	ACKNOWLEDGMENTS
	Section I
		1 Basic Concepts
		2 Statistical Use and Misuse in Scientific Publications
		3 Some Practical Aspects (from 1st edition)
		4 Exploratory Descriptive Analysis
		5 Basic Probability
	Section II
		6 Normal Distribution
		7 Statistical Inference: Confidence Limits and the Central Limit Theorem
		8 Other Continuous Distributions
		9 Outliers and Extreme Values
	Section III
		10 Hypothesis Testing: The Null Hypothesis, Significance and Type I Error
		11 Hypothesis Testing: Sample Size, Effect Size, Power, and Type II Errors
	Section IV
		12 Permutations and Combinations; Logarithms
		13 Hypergeometric Distribution
		14 Categorical and Cross-Classified Data: Goodness of Fit and Association
		15 Categorical and Cross-Classified Data: McNemar’s and Bowker’s Tests, Kolmogorov-Smirnov Tests, Concordance
		16 Binomial and Multinomial Distributions
		17 Proportions
		18 The Poisson Distribution
		19 Negative Binomial Distribution
	Section V
		20 Odds Ratio, Relative Risk, Attributable Risk, and Number Needed to Treat
		21 Probability, Bayes Theorem, Medical Diagnostic Evaluation, and Screening
	Section VI
		22 Comparison of Two Groups: t-Tests and Nonparametric Tests
		23 t-Test Variants: Cross-Over Tests, Equivalence Tests
		24 Multiple Comparisons
		25 Analysis of Variance. I. One-Way
		26 Analysis of Variance. II. More Complex Forms
	Section VII
		27 Linear Regression
		28 Variations Based on Linear Regression
		29 Correlation
		30 Multiple Regression
		31 Serial Measurements: Time Series, Control Charts, Cusums
		32 Dose-Response Analysis
		33 Logistic Regression
		34 Poisson Regression
	Section VIII
		35 Survival Analysis
		36 Meta-analysis
		37 Resampling Statistics
		38 Design: Sampling, Clinical Trials
	ANSWERS TO PROBLEMS
	GLOSSARY
	INDEX