1 option
Basic biostatistics : statistics for public health practice / B. Burt Gerstman.
Holman Biotech Commons RA409 .G47 2015
Available
- Format:
- Book
- Author/Creator:
- Gerstman, B. Burt.
- Language:
- English
- Subjects (All):
- Medical statistics.
- Biometry.
- Physical Description:
- xv, 644 pages : illustrations ; 23 cm
- Edition:
- Second edition.
- Place of Publication:
- Burlington, Mass. : Jones & Bartlett Learning, [2015]
- Summary:
- Basic Biostatistics: Statistics for Public Health Practice, Second Edition is a concise, introductory text that covers biostatistical principles and focuses on the common types of data encountered in the public health and biomedical fields. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered through detailed, illustrative examples. Organized into three parts, the book examines basic concepts and techniques; analytic techniques for quantitative response variables; and techniques for categorical responses. The Second Edition offers many new exercises and expanded resources for instructors. With language, examples, and exercises that are accessible to students with modest mathematical backgrounds, this is the perfect introductory biostatistics text for undergraduates and graduates in various fields of public health. Features: Illustrative, relevant examples and exercises incorporated throughout the book. Equal attention is given to manual calculations as well as the use of statistical software such as StaTable, SPSS, and WinPepi. Navigate Companion Website with study guide and data sets for further practice. Book jacket.
- Contents:
- Part I General Concept and Techniques 1
- Chapter 1 Measurement 3
- 1.1 What Is Biostatistics ? 3
- 1.2 Organization of Data 3
- 1.3 Types of Measurement Scales 7
- 1.4 Data Quality 9
- Chapter 2 Types of Studies 21
- 2.1 Surveys 21
- 2.2 Comparative Studies 28
- Chapter 3 Frequency Distributions 43
- 3.1 Stemplots 43
- 3.2 Frequency Tables 59
- 3.3 Additional Frequency Charts 63
- Chapter 4 Summary Statistics 77
- 4.1 Central Location: Mean 77
- 4.2 Central Location: Median 82
- 4.3 Central Location: Mode 83
- 4.4 Comparison of the Mean, Median, and Mode 83
- 4.5 Spread: Quartiles 84
- 4.6 Boxplots 88
- 4.7 Spread: Variance and Standard Deviation 91
- 4.8 Selecting Summary Statistics 96
- Chapter 5 Probability Concepts 105
- 5.1 What Is Probability? 105
- 5.2 Types of Random Variables 108
- 5.3 Discrete Random Variables 109
- 5.4 Continuous Random Variables 115
- 5.5 More Rules and Properties of Probability 120
- Chapter 6 Binomial Probability Distributions 133
- 6.1 Binomial Random Variables 133
- 6.2 Calculating Binomial Probabilities 134
- 6.3 Cumulative Probabilities 137
- 6.4 Probability Calculators 138
- 6.5 Expected Value and Variance of a Binomial Random Variable 140
- 6.6 Using the Binomial Distribution to Help Make Judgments About the Role of Chance 141
- Chapter 7 Normal Probability Distributions 147
- 7.1 Normal Distributions 147
- 7.2 Determining Normal Probabilities 156
- 7.3 Finding Values that Correspond to Normal Probabilities 162
- 7.4 Assessing Departures from Normality 164
- Chapter 8 Introduction to Statistical Inference 175
- 8.1 Concepts 175
- 8.2 Sampling Behavior of a Mean 178
- 8.3 Sampling Behavior of a Count and Proportion 186
- Chapter 9 Basics of Hypothesis Testing 197
- 9.1 The Null and Alternative Hypotheses 198
- 9.2 Test Statistic 199
- 9.3 P-Value 202
- 9.4 Significance Level and Conclusion 204
- 9.5 One-Sample Test 205
- 9.6 Power and Sample Size 209
- Chapter 10 Basics of Confidence Intervals 219
- 10.1 Introduction to Estimation 219
- 10.2 Confidence Intervals for μ When σ Known 221
- 10.3 Sample Size Requirements 225
- 10.4 Relationship Between Hypothesis Testing and Confidence Intervals 227
- Part II Quantitative Response Variable 235
- Chapter 11 Inference About a Mean 237
- 11.1 Estimated Standard Error of the Mean 237
- 11.2 Student's t-Distributions 238
- 11.3 One-Sample t-Test 242
- 11.4 Confidence Interval for μ 245
- 11.5 Paired Samples 246
- 11.6 Conditions for Inference 252
- 11.7 Sample Size and Power 253
- Chapter 12 Comparing Independent Means 267
- 12.1 Paired and Independent Samples 267
- 12.2 Exploratory and Descriptive Statistics 271
- 12.3 Inference About the Mean Difference 275
- 12.4 Equal Variance t Procedure (Optional) 279
- 12.5 Conditions for Inference 280
- 12.6 Sample Size and Power 282
- Chapter 13 Comparing Several Means (One-Way Analysis of Variance) 295
- 13.1 Descriptive Statistics 297
- 13.2 The Problem of Multiple Comparisons 300
- 13.3 Analysis of Variance (ANOVA) 302
- 13.4 Post Hoc Comparisons 311
- 13.5 The Equal Variance Assumption 316
- 13.6 Introduction to Rank-Based Tests 321
- Chapter 14 Correlation and Regression 333
- 14.1 Data 333
- 14.2 Scatterplot 334
- 14.3 Correlation 337
- 14.4 Regression 349
- Chapter 15 Multiple Linear Regression 377
- 15.1 The General Idea 377
- 15.2 The Multiple Linear Regression Model 378
- 15.3 Categorical Explanatory Variables in Regression Models 380
- 15.4 Regression Coefficients 383
- 15.5 ANOVA for Multiple Linear Regression 385
- 15.6 Examining Multiple Regression Conditions 389
- Part III Categorical Response Variable 393
- Chapter 16 Inference About a Proportion 395
- 16.1 Proportions 395
- 16.2 The Sampling Distribution of a Proportion 398
- 16.3 Hypothesis Test, Normal Approximation Method 400
- 16.4 Hypothesis Test, Exact Binomial Method 403
- 16.5 Confidence Interval for a Population Proportion 409
- 16.6 Sample Size and Power 412
- Chapter 17 Comparing Two Proportions 423
- 17.1 Data 423
- 17.2 Proportion Difference (Risk Difference) 424
- 17.3 Hypothesis Test 429
- 17.4 Proportion Ratio (Relative Risk) 439
- 17.5 Systematic Sources of Error 442
- 17.6 Power and Sample Size 445
- Chapter 18 Cross-Tabulated Counts 459
- 18.1 Types of Samples 459
- 18.2 Describing Naturalistic and Cohort Samples 461
- 18.3 Chi-Square Test of Association 473
- 18.4 Test for Trend 483
- 18.5 Case-Control Samples 488
- 18.6 Matched Pairs 497
- Chapter 19 Stratified Two-by-Two Tables 517
- 19.1 Preventing Confounding 517
- 19.2 Simpson's Paradox 518
- 19.3 Mantel-Haenszel Methods 520
- 19.4 Interaction 526.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 1284036014
- 9781284036015
- OCLC:
- 855468827
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.