Introductory Applied Biostatistics (with CD-ROM),9780534423995

Introductory Applied Biostatistics (with CD-ROM)

by ; ;
Edition: CD
ISBN13: 9780534423995
ISBN10: 053442399X
Format: Hardcover
Pub. Date: 2005-03-16
Publisher(s): Cengage Learning
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Summary

INTRODUCTORY APPLIED BIOSTATISTICS (WITH CD-ROM) explores statistical applications in the medical and public health fields. Examples drawn directly from the authors' clinical experiences with applied biostatistics make this text both practical and applicable. You'll master application techniques by hand before moving on to computer applications, with SAS programming code and output for each technique covered in every chapter. For each topic, the book addresses methodology, including assumptions, statistical formulas, and appropriate interpretation of results. This book is a must-have for every student preparing for a statistical career in a healthcare field!

Table of Contents

Preface xi
Motivation
1(14)
Vocabulary
2(2)
Population Parameters
4(3)
Sampling and Sample Statistics
7(3)
Statistical Inference
10(5)
Summarizing Data
15(72)
Background
17(2)
Vocabulary
17(1)
Classification of Variables
17(1)
Notation
18(1)
Descriptive Statistics and Graphical Methods
19(38)
Numerical Summaries for Continuous Variables
19(20)
Graphical Summaries for Continuous Variables
39(5)
Numerical Summaries for Discrete Variables
44(7)
Graphical Summaries for Discrete Variables
51(6)
Key Formulas
57(2)
Graphical Methods: Continuous Variables
58(1)
Graphical Methods: Discrete Variables
59(1)
Statistical Computing
59(8)
Continuous Variables
60(2)
Discrete Variables
62(4)
Summary of SAS Procedures
66(1)
Analysis of Framingham Heart Study Data
67(5)
Problems
72(15)
Probability
87(62)
Background
88(2)
Vocabulary
88(2)
First Principles
90(8)
Combinations and Permutations
98(5)
The Binomial Distribution
103(5)
The Normal Distribution
108(16)
Percentiles of the Normal Distribution
118(2)
Normal Approximation to the Binomial
120(4)
Key Formulas
124(1)
Applications Using SAS
125(8)
Summary of SAS Functions
133(1)
Analysis of Framingham Heart Study Data
133(3)
Problems
136(13)
Sampling Distributions
149(24)
Background
150(2)
The Central Limit Theorem
152(10)
Key Formulas
162(1)
Applications Using SAS
162(5)
Summary of SAS Functions
167(1)
Problems
167(6)
Statistical Inference: Procedures for μ
173(58)
Estimating μ
174(16)
Vocabulary and Notation
174(3)
Confidence Intervals for μ
177(7)
Precision and Sample Size Determination
184(6)
Hypothesis Tests About μ
190(23)
Vocabulary and Notation
190(6)
Hypothesis Tests About μ
196(8)
Power and Sample Size Determination
204(9)
Key Formulas
213(1)
Statistical Computing
213(5)
Summary of SAS Procedures and Functions
217(1)
Analysis of Framingham Heart Study Data
218(2)
Problems
220(11)
Statistical Inference: Procedures for (μ1 --- μ2)
231(62)
Statistical Inference Concerning (μ1 -- μ2)
234(31)
Case 1: Two Independent Populations---Population Variances Known
235(4)
Case 2: Two Independent Populations---Population Variances Unknown but Assumed Equal
239(5)
Case 3: Two Independent Populations---Population Variances Possibly Unequal
244(15)
Case 4: Two Dependent Populations---The Data Are Matched or Paired
259(6)
Power and Sample Size Determination
265(6)
Key Formulas
271(1)
Statistical Computing
272(5)
Summary of SAS Procedures and Functions
276(1)
Analysis of Framingham Heart Study Data
277(4)
Problems
281(12)
Categorical Data
293(66)
Statistical Inference Concerning p
294(7)
Cross-Tabulation Tables
301(2)
Diagnostic Tests: Sensitivity and Specificity
303(2)
Statistical Inference Concerning (p1 -- p2)
305(5)
Chi-Square Tests
310(18)
Goodness-of-Fit Test
310(7)
Tests of Independence
317(11)
Precision, Power, and Sample Size Determination
328(5)
Key Formulas
333(1)
Statistical Computing
333(9)
Summary of SAS Procedures
341(1)
Analysis of Framingham Heart Study Data
342(5)
Problems
347(12)
Comparing Risks in Two Populations
359(48)
Effect Measures
360(3)
Confidence Intervals for Effect Measures
363(5)
The Chi-Square Test of Homogeneity
368(7)
Fisher's Exact Test
375(2)
Cochran--Mantel--Haenzel Method
377(5)
Precision, Power, and Sample Size Determination
382(1)
Key Formulas
383(1)
Statistical Computing
384(7)
Summary of SAS Procedures
390(1)
Analysis of Framingham Heart Study Data
391(9)
Problems
400(7)
Analysis of Variance
407(58)
Background Logic
408(5)
Notation and Examples
413(11)
Fixed Versus Random Effects Models
424(1)
Evaluating Treatment Effects
424(1)
Multiple Comparisons Procedures
425(11)
The Scheffe Procedure
427(5)
The Tukey Procedure
432(4)
Repeated Measures Analysis of Variance
436(6)
Key Formulas
442(1)
Statistical Computing
442(9)
Summary of SAS Procedures
450(1)
Analysis of Framingham Heart Study Data
451(3)
Problems
454(11)
Correlation and Regression
465(42)
Correlation Analysis
466(11)
The Sample Correlation Coefficient r
469(3)
Statistical Inference Concerning p
472(5)
Simple Linear Regression
477(8)
Multiple Regression Analysis
485(2)
Logistic Regression Analysis
487(4)
Key Formulas
491(1)
Statistical Computing
492(5)
Summary of SAS Procedures
496(1)
Analysis of Framingham Heart Study Data
497(4)
Problems
501(6)
Logistic Regression Analysis
507(38)
The Logistic Model
508(2)
Statistical Inference for Simple Logistic Regression
510(7)
Multiple Logistic Regression
517(5)
Area under the ROC Curve
522(5)
Key Formulas
527(1)
Statistical Computing
527(104)
Summary of SAS Procedures
531(100)
Analysis of Framingham Heart Study Data
631
Problems
538(7)
Nonparametric Tests
545(40)
The Sign Test (Two Dependent Samples Test)
546(3)
The Wilcoxon Signed-Rank Test (Two Dependent Samples Test)
549(5)
The Wilcoxon Rank Sum Test (Two Independent Samples Test)
554(4)
The Kruskal--Wallis Test (k Independent Samples Test)
558(2)
Spearman Correlation (Correlation Between Variables)
560(5)
Key Formulas
565(1)
Guidelines for Determining When to Use a Nonparametric Procedure
566(1)
Statistical Computing
566(7)
Summary of SAS Procedures
572(1)
Analysis of Framingham Heart Study Data
573(8)
Problems
581(4)
Introduction to Survival Analysis
585(6)
Incomplete Follow-Up
586(2)
Time to Event
588(1)
Survival Analysis Techniques
589(2)
APPENDIX A Introduction to Statistical Computing Using SAS
591(18)
A.1 Introduction to SAS
591(5)
A.1.1 Components of a SAS Program
591(2)
A.1.2 Overview of the SAS System
593(2)
A.1.3 Creating and Executing SAS Programs
595(1)
A.2 The Data Step
596(13)
A.2.1 Inputting Data: Types of Data
597(1)
A.2.2 Inputting Data: Types of Input
598(1)
A.2.3 Missing Values
599(1)
A.2.4 Advanced Data Input and Data Manipulation
600(9)
APPENDIX B Statistical Tables
609(22)
B.1 Statistical Tables
609(19)
Table B.1 Probabilities of the Binomial Distribution
609(9)
Table B.2 Probabilities of the Standard Normal Distribution
618(2)
Table B.2A Z Values for Confidence Intervals
620(1)
Table B.2B Z Values for Tests of Hypothesis
620(1)
Table B.3 Critical Values of the t Distribution
621(3)
Table B.4A Critical Values of the F Distribution with Upper-Tail Area = 0.05
624(1)
Table B.4B Critical Values of the F Distribution with Upper-Tail Area = 0.205
625(1)
Table B.5 Critical Values of the X2 Distribution
626(1)
Table B.6 Critical Values of the Studentized Range Distribution, α = 0.05
627(1)
B.2 SAS Programs Used to Generate Table Entries
628(3)
APPENDIX C Framingham Heart Study Longitudinal Data Documentation
631(14)
Index 645

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