Fundamentals of Biostatistics/Book and Disk

by Rosner, Bernard

• ISBN13: 9780534209407
• ISBN10: 0534209408
• Edition: Disk
• Format: Hardcover
• Copyright: 1995-01-01
• Publisher: Duxbury Press

Summary

FUNDAMENTALS OF BIOSTATISTICS (WITH CD-ROM) leads you through the methods, techniques, and computations necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.

Table of Contents

General Overview

References

Descriptive Statistics

Introduction

Measures of Location

Some Properties of the Arithmetic Mean

Measures of Spread

Some Properties of the Variance and Standard Deviation

The Coefficient of Variation

Grouped Data

Graphic Methods

Case Study 1: Effects of Lead Exposure on Neurological and Psychological Function in Children

Obtaining Descriptive Statistics on the Computer

Summary

Probability

Introduction

Definition of Probability

Some Useful Probabilistic Notation

The Multiplication Law of Probability

The Addition Law of Probability

Conditional Probability

Bayes'' Rule and Screening Tests

Bayesian Inference

ROC Curves

Prevalence and Incidence

Summary

Discrete Probability Distributions

Introduction

Random Variables

The Probability Mass Function for a Discrete Random Variable

The Expected Value of a Discrete Random Variable

The Variance of a Discrete Random Variable

The Cumulative-Distribution Function of a Discrete Random Variable

Permutations and Combinations

Expected Value and Variance of the Binomial Distribution

The Poisson Distribution

Computation of Poisson Probabilities

Expected Value and Variance of the Poisson Distribution

Poisson Approximation to the Binomial Distribution

Summary

Continuous Probability Distributions

Introduction

General Concepts

The Normal Distribution

Properties of the Standard Normal Distribution

Conversion from an N([mean], [variance]) Distribution to an N(0, 1) Distribution

Normal Approximation to the Binomial Distribution

Normal Approximation to the Poisson Distribution

Summary

Estimation

Introduction

The Relationship between Population and Sample

Random-Number Tables

Randomized Clinical Trials

Estimation of the Mean of a Distribution

Case Study: Relationship of Cigarette Smoking to Bone Mineral Density (BMD) Among Middle-Aged Women

Estimation of the Variance of a Distribution

Estimation for the Binomial Distribution

Estimation for the Poisson Distribution

One-Sided Confidence Intervals

Summary

Hypothesis Testing: One-Sample Inference

Introduction

General Concepts

One-Sample Test for the Mean of a Normal Distribution: One-Sided Alternatives

One-Sample Test for the Mean of a Normal Distribution: Two-Sided Alternatives

The Power of a Test

Sample-Size Determination

The Relationship between Hypothesis Testing and Confidence Intervals

Bayesian Inference

One-Sample Chi-Squared Test for the Variance of a Normal Distribution

One-Sample Test for a Binomial Proportion

One-Sample Inference for the Poisson Distribution

Case Study: Effects of Tobacco Use on Bone-Mineral Density in Middle-Aged Women

Summary

Hypothesis Testing: Two-Sample Inference

Introduction

The Paired t Test

Interval Estimation for the Comparison of Means from Two Paired Samples

Two-Sample t Test for Independent Samples with Equal Variances

Interval Estimation for the Comparison of Means from Two Independent Samples (Equal Variance Case)

Testing for the Equality of Two Variances

Two-Sample t Test for Independent Samples with Unequal Variances

Case Study: Effects of Lead Exposure on Neurological and Psychological Function in Children

The Treatment of Outliers

Estimation of Sample Size and Power for Comparing Two Means

Summary

Nonparametric Methods

Introduction

The Sign Test

The Wilcoxon Signed-Rank Test

The Wilcoxon Rank-Sum Test

Case Study: Effects of Lead Exposure on Neurological and Psychological Function in Children

Summary

Hypothesis Testing: Categorical Data

Introduction

Two-Sample Test for Binomial Proportions

Fisher''s Exact Test

Two-Sample Test for Binomial Proportions for Matched-Pair Data (McNemar''s Test)

Estimation of Sample Size and Power for Comparing Two Binomial Proportions

R x C Contingency Tables

Chi-Square Goodness-of-Fit Test

The Kappa Statistic

Summary

Regression and Correlation Methods

Introduction

General Concepts

Fitting Regression Lines-The Method of Least

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