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Biostatistics: A Foundation for Analysis in the Health Sciences 11th edition [Pehme köide]

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  • Formaat: Paperback / softback, 720 pages, kõrgus x laius x paksus: 252x203x28 mm, kaal: 1270 g
  • Sari: Wiley Series in Probability and Statistics
  • Ilmumisaeg: 19-Sep-2024
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119282373
  • ISBN-13: 9781119282372
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Biostatistics: A Foundation for Analysis in the Health Sciences 11th editionSuurem pilt
  • Formaat: Paperback / softback, 720 pages, kõrgus x laius x paksus: 252x203x28 mm, kaal: 1270 g
  • Sari: Wiley Series in Probability and Statistics
  • Ilmumisaeg: 19-Sep-2024
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119282373
  • ISBN-13: 9781119282372
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781119282372.html
Märksõnad:

The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. 

Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.

Preface vii
1 Introduction to Biostatistics
1(17)
1.1 Introduction
2(1)
1.2 Basic Concepts and Definitions
2(3)
1.3 Measurement and Measurement Scales
5(2)
1.4 Sampling and Statistical Inference
7(6)
Exercises
12(1)
1.5 The Scientific Method
13(2)
Exercises
15(1)
1.6 Computers and Technology
15(1)
1.7 Summary
16(2)
Review Questions and Exercises
16(1)
References
17(1)
2 Descriptive Statistics
18(39)
2.1 Introduction
19(1)
2.2 The Ordered Array
19(2)
2.3 Frequency Tables
21(8)
Exercises
25(4)
2.4 Measures of Central Tendency
29(5)
2.5 Measures of Dispersion
34(9)
Exercises
41(2)
2.6 Visualizing Data
43(8)
Exercises
51(1)
2.7 Summary
51(6)
Summary of Formulas for
Chapter 2
51(2)
Review Questions and Exercises
53(3)
References
56(1)
3 Some Basic Probability Concepts
57(23)
3.1 Introduction
57(1)
3.2 Two Views of Probability: Objective and Subjective
58(2)
3.3 Elementary Properties of Probability
60(1)
3.4 Calculating the Probability of an Event
61(8)
Exercises
68(1)
3.5 Bayes' Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative
69(5)
Exercises
73(1)
3.6 Summary
74(6)
Summary of Formulas for
Chapter 3
75(1)
Review Questions and Exercises
76(3)
References
79(1)
4 Probability Distributions
80(39)
4.1 Introduction
81(1)
4.2 Probability Distributions of Discrete Variables
81(6)
Exercises
86(1)
4.3 The Binomial Distribution
87(9)
Exercises
95(1)
4.4 The Poisson Distribution
96(5)
Exercises
100(1)
4.5 Continuous Probability Distributions
101(2)
4.6 The Normal Distribution
103(6)
Exercises
109(1)
4.7 Normal Distribution Applications
109(5)
Exercises
113(1)
4.8 Summary
114(5)
Summary of Formulas for
Chapter 4
114(1)
Review Questions and Exercises
115(2)
References
117(2)
5 Some Important Sampling Distributions
119(70)
5.1 Introduction
119(1)
5.2 Sampling Distributions
120(1)
5.3 Distribution of the Sample Mean
121(8)
Exercises
128(1)
5.4 Distribution of the Difference Between Two Sample Means
129(5)
Exercises
133(1)
5.5 Distribution of the Sample Proportion
134(3)
Exercises
136(1)
5.6 Distribution of the Difference Between Two Sample Proportions
137(2)
Exercises
139(1)
5.7 Summary
139(5)
Summary of Formulas for
Chapter 5
140(1)
Review Questions and Exercises
140(1)
References
141(3)
6.1 Introduction
144(3)
6.2 Confidence Interval for a Population Mean
147(6)
Exercises
152(1)
6.3 The t Distribution
153(5)
Exercises
157(1)
6.4 Confidence Interval for the Difference Between Two Population Means
158(7)
Exercises
164(1)
6.5 Confidence Interval for a Population Proportion
165(2)
Exercises
166(1)
6.6 Confidence Interval for the Difference Between Two Population Proportions
167(2)
Exercises
168(1)
6.7 Determination of Sample Size for Estimating Means
169(2)
Exercises
171(1)
6.8 Determination of Sample Size for Estimating Proportions
171(2)
Exercises
172(1)
6.9 The Chi-Square Distribution and the Confidence Interval for the Variance of a Normally Distributed Population
173(4)
Exercises
177(1)
6.10 The F-Distribution and the Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations
177(4)
Exercises
180(1)
6.11 Summary
181(8)
Summary of Formulas for
Chapter 6
182(1)
Review Questions and Exercises
183(3)
References
186(3)
7 Hypothesis Testing
189(78)
7.1 Introduction
190(10)
7.2 Hypothesis Testing: A Single Population Mean
200(13)
Exercises
211(2)
7.3 Hypothesis Testing: The Difference Between Two Population Means
213(11)
Exercises
221(3)
7.4 Paired Comparisons
224(8)
Exercises
229(3)
7.5 Hypothesis Testing: A Single Population Proportion
232(3)
Exercises
234(1)
7.6 Hypothesis Testing: The Difference Between Two Population Proportions
235(3)
Exercises
236(2)
7.7 Hypothesis Testing: A Single Population Variance
238(3)
Exercises
240(1)
7.8 Hypothesis Testing: The Ratio of Two Population Variances
241(4)
Exercises
244(1)
7.9 The Type II Error and the Power of a Test
245(4)
Exercises
249(1)
7.10 Determining Sample Size to Control Type II Errors
249(2)
Exercises
251(1)
7.11 Summary
251(16)
Summary of Formulas for
Chapter 7
252(2)
Review Questions and Exercises
254(10)
References
264(3)
8 Analysis of Variance
267(87)
8.1 Introduction
268(3)
8.2 The Completely Randomized Design
271(23)
Exercises
289(5)
8.3 The Randomized Complete Block Design
294(11)
Exercises
301(4)
8.4 The Repeated Measures Design
305(10)
Exercises
313(2)
8.5 The Factorial Experiment
315(14)
Exercises
326(3)
8.6 Summary
329(25)
Summary of Formulas for
Chapter 8
329(2)
Review Questions and Exercises
331(19)
References
350(4)
9 Simple Linear Regression and Correlation
354(101)
9.1 Introduction
355(1)
9.2 The Regression Model
355(2)
9.3 The Sample Regression Equation
357(9)
Exercises
364(2)
9.4 Evaluating the Regression Equation
366(14)
Exercises
380(1)
9.5 Using the Regression Equation
380(4)
Exercises
384(1)
9.6 The Correlation Model
384(2)
9.7 The Correlation Coefficient
386(11)
Exercises
394(3)
9.8 Some Precautions
397(1)
9.9 Summary
398(19)
Summary of Formulas for
Chapter 9
399(14)
Review Questions and Exercises, References
413(4)
10.1 Introduction
417(1)
10.2 The Multiple Linear Regression Model
417(1)
10.3 Obtaining the Multiple Regression Equation
418(9)
Exercises
423(4)
10.4 Evaluating the Multiple Regression Equation
427(6)
Exercises
433(1)
10.5 Using the Multiple Regression Equation
433(2)
Exercises
435(1)
10.6 The Multiple Correlation Model
435(11)
Exercises
443(3)
10.7 Summary
446(9)
Summary of Formulas for
Chapter 10
447(1)
Review Questions and Exercises
448(6)
References
454(1)
11 Regression Analysis: Some Additional Techniques
455(64)
11.1 Introduction
455(4)
11.2 Qualitative Independent Variables
459(15)
Exercises
472(2)
11.3 Variable Selection Procedures
474(11)
Exercises
478(7)
11.4 Logistic Regression
485(12)
Exercises
495(2)
11.5 Poisson Regression
497(7)
Exercises
503(1)
11.6 Summary
504(15)
Summary of Formulas for
Chapter 11
505(1)
Review Questions and Exercises
506(11)
References
517(2)
12 The Chi-Square Distribution and the Analysis of Frequencies
519(60)
12.1 Introduction
520(1)
12.2 The Mathematical Properties of the Chi-Square Distribution
520(3)
12.3 Tests of Goodness-of-Fit
523(12)
Exercises
533(2)
12.4 Tests of Independence
535(10)
Exercises
544(1)
12.5 Tests of Homogeneity
545(7)
Exercises
551(1)
12.6 The Fisher's Exact Test
552(5)
Exercises
557(1)
12.7 Relative Risk, Odds Ratio, and the Mantel-Haenszel Statistic
557(12)
Exercises
567(2)
12.8 Summary
569(10)
Summary of Formulas for
Chapter 12
570(1)
Review Questions and Exercises
571(5)
References
576(3)
13 Nonparametric and distribution-free statistics
579(67)
13.1 Introduction
580(1)
13.2 Measurement Scales
581(1)
13.3 The Sign Test
581(8)
Exercises
588(1)
13.4 The Wilcoxon Signed-Rank Test for Location
589(5)
Exercises
593(1)
13.5 The Median Test
594(3)
Exercises
596(1)
13.6 The Mann-Whitney Test
597(7)
Exercises
602(2)
13.7 The Kolmogorov-Smirnov Goodness-of-Fit Test
604(6)
Exercises
610(1)
13.8 The Kruskal-Wallis One-Way Analysis of Variance by Ranks
610(8)
Exercises
615(3)
13.9 The Friedman Two-Way Analysis of Variance by Ranks
618(5)
Exercises
622(1)
13.10 The Spearman Rank Correlation Coefficient
623(8)
Exercises
629(2)
13.11 Nonparametric Regression Analysis
631(3)
Exercises
634(1)
13.12 Summary
634(12)
Summary of Formulas for
Chapter 13
635(1)
Review Questions and Exercises
636(8)
References
644(2)
14 Survival Analysis
646(25)
14.1 Introduction
647(1)
14.2 Time-to-Event Data and Censoring
647(4)
14.3 The Kaplan-Meier Procedure
651(7)
Exercises
656(2)
14.4 Comparing Survival Curves
658(5)
Exercises
661(2)
14.5 Cox Regression: The Proportional Hazards Model
663(4)
Exercises
666(1)
14.6 Summary
667(4)
Summary of Formulas for
Chapter 14
667(1)
Review Questions and Exercises
668(1)
References
669(2)
15 Vital Statistics
671(18)
15.1 Introduction
671(1)
15.2 Death Rates and Ratios
672(7)
Exercises
677(2)
15.3 Measures of Fertility
679(3)
Exercises
681(1)
15.4 Measures of Morbidity
682(1)
Exercises
683(1)
15.5 Summary
683(6)
Summary of Formulas for
Chapter 15
684(1)
Review Questions and Exercises
685(1)
References
686(3)
Index 689