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20240917143214.0 |
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240917b |||||o|||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781119722694 |
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| International Standard Book Number |
9781119722717 |
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electronic book |
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1119722713 |
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electronic book |
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9781119722670 |
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electronic book |
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1119722675 |
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electronic book |
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9781119722700 |
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electronic book |
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| International Standard Book Number |
1119722705 |
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electronic book |
| 035 ## - SYSTEM CONTROL NUMBER |
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(OCoLC)1266201057 |
| 040 ## - CATALOGING SOURCE |
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DLC |
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eng |
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rda |
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DLC |
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OCLCO |
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OCLCF |
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YDX |
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OCLCO |
| 041 ## - LANGUAGE CODE |
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eng |
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pcc |
| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
R853.S7 |
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R67 2022 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
610.72 |
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23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Preferred name for the person |
Rossi, Richard J., |
| Dates associated with a name |
1956- |
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http://id.loc.gov/authorities/names/n2006009901 |
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author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Applied biostatistics for the health sciences / |
| Statement of responsibility, etc |
Richard J. Rossi, Montana Tech, Butte, Montana. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
Second edition. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
Hoboken, NJ : |
| Name of publisher, distributor, etc |
John Wiley & Sons, Inc., |
| Date of publication, distribution, etc |
2022. |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Date of publication, distribution, etc |
Β©2022. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource (xv, 667 pages) : |
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illustrations. |
| 336 ## - CONTENT TYPE |
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text |
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txt |
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rdacontent. |
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computer |
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c |
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rdamedia. |
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online resource |
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cr |
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rdacarrier. |
| 340 ## - PHYSICAL MEDIUM |
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rdacc |
| Authority record control number or standard number |
http://rdaregistry.info/termList/RDAColourContent/1003. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - CONTENTS |
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| Formatted contents note |
Table of Contents<br/><br/>Preface xi<br/><br/>Chapter 1 Introduction To Biostatistics 1<br/><br/>1.1 What is Biostatistics? 1<br/><br/>1.2 Populations, Samples, and Statistics 2<br/><br/>1.2.1 The Basic Biostatistical Terminology 3<br/><br/>1.2.2 Biomedical Studies 5<br/><br/>1.2.3 Observational Studies Versus Experiments 7<br/><br/>1.3 Clinical Trials 9<br/><br/>1.3.1 Safety and Ethical Considerations in a Clinical Trial 9<br/><br/>1.3.2 Types of Clinical Trials 10<br/><br/>1.3.3 The Phases of a Clinical Trial 10<br/><br/>1.4 Data Set Descriptions 12<br/><br/>1.4.1 Birth Weight Data Set 12<br/><br/>1.4.2 Body Fat Data Set 12<br/><br/>1.4.3 Coronary Heart Disease Data Set 13<br/><br/>1.4.4 Prostate Cancer Study Data Set 13<br/><br/>1.4.5 Intensive Care Unit Data Set 14<br/><br/>1.4.6 Mammography Experience Study Data Set 14<br/><br/>1.4.7 Benign Breast Disease Study 14<br/><br/>1.4.8 Exerbike Data Sets 15<br/><br/>Glossary 17<br/><br/>Exercises 19<br/><br/>Chapter 2 Describing Populations 24<br/><br/>2.1 Populations and Variables 24<br/><br/>2.1.1 Qualitative Variables 25<br/><br/>2.1.2 Quantitative Variables 26<br/><br/>2.1.3 Multivariate Data 28<br/><br/>2.2 Population Distributions and Parameters 29<br/><br/>2.2.1 Distributions 30<br/><br/>2.2.2 Describing a Population with Parameters 34<br/><br/>2.2.3 Proportions and Percentiles 35<br/><br/>2.2.4 Parameters Measuring Centrality 37<br/><br/>2.2.5 Measures of Dispersion 40<br/><br/>2.2.6 The Coefficient of Variation 43<br/><br/>2.2.7 Parameters for Bivariate Populations 45<br/><br/>2.3 Probability 48<br/><br/>2.3.1 Basic Probability Rules 50<br/><br/>2.3.2 Conditional Probability 52<br/><br/>2.3.3 Independence 54<br/><br/>2.3.4 The Relative Risk and the Odds Ratio 56<br/><br/>2.4 Probability Models 59<br/><br/>2.4.1 The Binomial Probability Model 59<br/><br/>2.4.2 The Normal Probability Model 62<br/><br/>2.4.3 Z Scores 69<br/><br/>Glossary 69<br/><br/>Exercises 71<br/><br/>Chapter 3 Random Sampling 83<br/><br/>3.1 Obtaining Representative Data 83<br/><br/>3.1.1 The Sampling Plan 85<br/><br/>3.1.2 Probability Samples 85<br/><br/>3.2 Commonly Used Sampling Plans 87<br/><br/>3.2.1 Simple Random Sampling 87<br/><br/>3.2.2 Stratified Random Sampling 91<br/><br/>3.2.3 Cluster Sampling 92<br/><br/>3.2.4 Systematic Sampling 94<br/><br/>3.3 Determining the Sample Size 95<br/><br/>3.3.1 The Sample Size for Simple and Systematic Random Samples 96<br/><br/>3.3.2 The Sample Size for a Stratified Random Sample 99<br/><br/>Glossary 105<br/><br/>Exercises 107<br/><br/>Chapter 4 Summarizing Random Samples 115<br/><br/>4.1 Samples and Inferential Statistics 115<br/><br/>4.2 Inferential Graphical Statistics 116<br/><br/>4.2.1 Bar and Pie Charts 116<br/><br/>4.2.2 Boxplots 120<br/><br/>4.2.3 Histograms 126<br/><br/>4.2.4 Normal Probability Plots 132<br/><br/>4.3 Numerical Statistics for Univariate Data Sets 134<br/><br/>4.3.1 Estimating Population Proportions 135<br/><br/>4.3.2 Estimating Population Percentiles 142<br/><br/>4.3.3 Estimating the Mean, Median, and Mode 143<br/><br/>4.3.4 Estimating the Variance and Standard Deviation 149<br/><br/>4.3.5 Linear Transformations 153<br/><br/>4.3.6 The Plug-in Rule for Estimation 156<br/><br/>4.4 Statistics for Multivariate Data Sets 158<br/><br/>4.4.1 Graphical Statistics for Bivariate Data Sets 158<br/><br/>4.4.2 Numerical Summaries for Bivariate Data Sets 160<br/><br/>4.4.3 Fitting Lines to Scatterplots 166<br/><br/>Glossary 167<br/><br/>Exercises 170<br/><br/>Chapter 5 Measuring The Reliability of Statistics 186<br/><br/>5.1 Sampling Distributions 186<br/><br/>5.1.1 Unbiased Estimators 188<br/><br/>5.1.2 Measuring the Accuracy of an Estimator 189<br/><br/>5.1.3 The Bound on the Error of Estimation 191<br/><br/>5.2 The Sampling Distribution of a Sample Proportion 192<br/><br/>5.2.1 The Mean and Standard Deviation of the Sampling Distribution of πΜ 192<br/><br/>5.2.2 Determining the Sample Size for a Prespecified Value of the Bound on the Error Estimation 195<br/><br/>5.2.3 The Central Limit Theorem for p 196<br/><br/>5.2.4 Some Final Notes on the Sampling Distribution of p 197<br/><br/>5.3 The Sampling Distribution of x 197<br/><br/>5.3.1 The Mean and Standard Deviation of the Sampling Distribution of x 198<br/><br/>5.3.2 Determining the Sample Size for a Prespecified Value of the Bound on the Error Estimation 201<br/><br/>5.3.3 The Central Limit Theorem for x 202<br/><br/>5.3.4 The t Distribution 204 5.3.5 Some Final Notes on the Sampling Distribution of x 206<br/><br/>5.4 Two Sample Comparisons 207<br/><br/>5.4.1 Comparing Two Population Proportions 208<br/><br/>5.4.2 Comparing Two Population Means 214<br/><br/>5.5 Bootstrapping the Sampling Distribution of a Statistic 220<br/><br/>Glossary 223<br/><br/>Exercises 223<br/><br/>Chapter 6 Confidence Intervals 235<br/><br/>6.1 Interval Estimation 235<br/><br/>6.2 Confidence Intervals 236<br/><br/>6.3 Single Sample Confidence Intervals 238<br/><br/>6.3.1 Confidence Intervals for Proportions 239<br/><br/>6.3.2 Confidence Intervals for a Mean 242<br/><br/>6.3.3 Large Sample Confidence Intervals for π 243<br/><br/>6.3.4 Small Sample Confidence Intervals for π 244<br/><br/>6.3.5 Determining the Sample Size for a Confidence Interval for the Mean 247<br/><br/>6.4 Bootstrap Confidence Intervals 248<br/><br/>6.5 Two Sample Comparative Confidence Intervals 250<br/><br/>6.5.1 Confidence Intervals for Comparing Two Proportions 250<br/><br/>6.5.2 Confidence Intervals for the Relative Risk 254<br/><br/>6.5.3 Confidence Intervals for the Odds Ratio 257<br/><br/>Glossary 259<br/><br/>Exercises 260<br/><br/>Chapter 7 Testing Statistical Hypotheses 272<br/><br/>7.1 Hypothesis Testing 272<br/><br/>7.1.1 The Components of a Hypothesis Test 272<br/><br/>7.1.2 P-Values and Significance Testing 279<br/><br/>7.2 Testing Hypotheses about Proportions 283<br/><br/>7.2.1 Single Sample Tests of a Population Proportion 283<br/><br/>7.2.2 Comparing Two Population Proportions 289<br/><br/>7.2.3 Tests of Independence 293<br/><br/>7.3 Testing Hypotheses About Means 301<br/><br/>7.3.1 t-Tests 301<br/><br/>7.3.2 t-Tests for the Mean of a Population 304<br/><br/>7.3.3 Paired Comparison t-Tests 308<br/><br/>7.3.4 Two Independent Sample t-Tests 313<br/><br/>7.4 7.4 Some Final Comments on Hypothesis Testing 318<br/><br/>Glossary 319<br/><br/>Exercises 320<br/><br/>Chapter 8 Simple Linear Regression 340<br/><br/>8.1 Bivariate Data, Scatterplots, and Correlation 340<br/><br/>8.1.1 Scatterplots 340<br/><br/>8.1.2 Correlation 343<br/><br/>8.2 The Simple Linear Regression Model 347<br/><br/>8.2.1 The Simple Linear Regression Model 348<br/><br/>8.2.2 Assumptions of the Simple Linear Regression Model 350<br/><br/>8.3 Fitting a Simple Linear Regression Model 352<br/><br/>8.4 Assessing the Assumptions and Fit of a Simple Linear Regression Model 354<br/><br/>8.4.1 Residuals 355<br/><br/>8.4.2 Residual Diagnostics 356<br/><br/>8.4.3 Estimating π and Assessing the Strength of the Linear Relationship 362<br/><br/>8.5 Statistical Inferences based on a Fitted Model 366<br/><br/>8.5.1 Inferences About π½0 366<br/><br/>8.5.2 Inferences About π½1 368<br/><br/>8.6 Inferences about the Response Variable 370<br/><br/>8.6.1 Inferences About πY|X371<br/><br/>8.6.2 Inferences for Predicting Values of Y 372<br/><br/>8.7 Model Validation 374<br/><br/>8.7.1 Selecting the Training and Validation Data Sets 374<br/><br/>8.7.2 Validating a Fitted Model 374<br/><br/>8.8 Some Final Comments on Simple Linear Regression 375<br/><br/>Glossary 377<br/><br/>Exercises 380<br/><br/>Chapter 9 Multiple Regression 396<br/><br/>9.1 Investigating Multivariate Relationships 398<br/><br/>9.2 The Multiple Linear Regression Model 400<br/><br/>9.2.1 The Assumptions of a Multiple Regression Model 401<br/><br/>9.3 Fitting a Multiple Linear Regression Model 403<br/><br/>9.4 Assessing the Assumptions of a Multiple Linear Regression Model 403<br/><br/>9.4.1 Residual Diagnostics 407<br/><br/>9.4.2 Detecting Multivariate Outliers and Influential Observations 413<br/><br/>9.5 Assessing the Adequacy of Fit of a Multiple Regression Model 414<br/><br/>9.5.1 Estimating π 414<br/><br/>9.5.2 The Coefficient of Determination 414<br/><br/>9.5.3 Multiple Regression Analysis of Variance 416<br/><br/>9.6 Statistical Inferences-Based Multiple Regression Model 419<br/><br/>9.6.1 Inferences about the Regression Coefficients 419<br/><br/>9.6.2 Inferences About the Response Variable 421<br/><br/>9.7 Comparing Multiple Regression Models 423<br/><br/>9.8 Multiple Regression Models with Categorical Variables 425<br/><br/>9.8.1 Regression Models with Dummy Variables 428<br/><br/>9.8.2 Testing the Importance of Categorical Variables 430<br/><br/>9.9 Variable Selection Techniques 434<br/><br/>9.9.1 Model Selection Using Maximum R2 adj 435<br/><br/>9.9.2 Model Selection using BIC 436<br/><br/>9.10 Model Validation 439<br/><br/>9.10.1 Selecting the Training and Validation Data Sets 440<br/><br/>9.10.2 Validating a Fitted Model 440<br/><br/>9.11 Some Final Comments on Multiple Regression 441<br/><br/>Glossary 442<br/><br/>Exercises 444<br/><br/>Chapter 10 Logistic Regression 462<br/><br/>10.1 The Logistic Regression Model 463<br/><br/>10.1.1 Assumptions of the Logistic Regression Model 466<br/><br/>10.2 Fitting a Logistic Regression Model 467<br/><br/>10.3 Assessing the Fit of a Logistic Regression Model 469<br/><br/>10.3.1 Checking the Assumptions of a Logistic Regression Model 470<br/><br/>10.3.2 Testing for the Goodness of Fit of a Logistic Regression Model 471<br/><br/>10.3.3 Model Diagnostics 473<br/><br/>10.4 Statistical Inferences Based on a Logistic Regression Model 478<br/><br/>10.4.1 Inferences about the Logistic Regression Coefficients 479<br/><br/>10.4.2 Comparing Models 480<br/><br/>10.5 Variable Selection 484<br/><br/>10.6 Classification with Logistic Regression 487<br/><br/>10.6.1 The Logistic Classifier 487<br/><br/>10.6.2 Misclassification Errors 488<br/><br/>10.7 Some Final Comments on Logistic Regression 489<br/><br/>Glossary 490<br/><br/>Exercises 492<br/><br/>Chapter 11 Design of Experiments 508<br/><br/>11.1 Experiments Versus Observational Studies 508<br/><br/>11.2 The Basic Principles of Experimental Design 511<br/><br/>11.2.1 Terminology 511<br/><br/>11.2.2 Designing an Experiment 512<br/><br/>11.3 Experimental Designs 514<br/><br/>11.3.1 The Completely Randomized Design 516<br/><br/>11.3.2 The Randomized Block Design 519<br/><br/>11.4 Factorial Experiments 521<br/><br/>11.4.1 Two-Factor Experiments 523<br/><br/>11.4.2 Three-Factor Experiments 525<br/><br/>11.5 Models for Designed Experiments 527<br/><br/>11.5.1 The Model for a Completely Randomized Design 527<br/><br/>11.5.2 The Model for a Randomized Block Design 528<br/><br/>11.5.3 Models for Experimental Designs with a Factorial Treatment Structure 530<br/><br/>11.6 Some Final Comments of Designed Experiments 531<br/><br/>Glossary 532<br/><br/>Exercises 534<br/><br/>Chapter 12 Analysis of Variance 542<br/><br/>12.1 Single-Factor Analysis of Variance 543<br/><br/>12.1.1 Partitioning the Total Experimental Variation 544<br/><br/>12.1.2 The Model Assumptions 546<br/><br/>12.1.3 The F-test 548<br/><br/>12.1.4 Comparing Treatment Means 550<br/><br/>12.2 Randomized Block Analysis of Variance 554<br/><br/>12.2.1 The ANOV Table for the Randomized Block Design 555<br/><br/>12.2.2 The Model Assumptions 557<br/><br/>12.2.3 The F-test 559<br/><br/>12.2.4 Separating the Treatment Means 560<br/><br/>12.3 Multi factor Analysis of Variance 563<br/><br/>12.3.1 Two-Factor Analysis of Variance 563<br/><br/>12.3.2 Three-Factor Analysis of Variance 571<br/><br/>12.4 Selecting the Number of Replicates in Analysis of Variance 575<br/><br/>12.4.1 Determining the Number of Replicates from the Power 575<br/><br/>12.4.2 Determining the Number of Replicates from π· 576<br/><br/>12.5 Some Final Comments on Analysis of Variance 577<br/><br/>Glossary 578<br/><br/>Exercises 579<br/><br/>Chapter 13 Survival Analysis 596<br/><br/>13.1 The KaplanβMeier Estimate of the Survival Function 597<br/><br/>13.2 The Proportional Hazards Model 603<br/><br/>13.3 Logistic Regression and Survival Analysis 607<br/><br/>13.4 Some Final Comments on Survival Analysis 609<br/><br/>Glossary 610<br/><br/>Exercises 611<br/><br/>References 620<br/><br/>Appendix A 628<br/><br/>Problem Solutions 636<br/><br/>Index 663 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Prior to the twentieth century, medical research was primarily based on trial and error and empirical evidence. Diseases and the risk factors associated with a disease were not well understood. Drugs and treatments for treating diseases were generally untested. The rapid scientific breakthroughs and technological advances that took place in the latter half of the twentieth century have provided the modern tools and methods that are now being used in the study of the causes of diseases, the development and testing of new drugs and treatments, and the study of human genetics and have been instrumental in eradicating some infectious diseases. Modern biomedical research is evidence-based research that relies on the scientific method, and in many biomedical studies it is the scientific method that guides the formulation of well-defined research hypotheses, the collection of data through experiments and observation, and the honest analysis whether the observed data support the research hypotheses. When the data in a biomedical study support a research hypothesis, the research hypothesis becomes a theory; however, when data do not support a research hypothesis, new hypotheses are generally developed and tested. Furthermore, because statistics is the science of collecting, analyzing, and interpreting data, statistics plays a very important role in medical research today. In fact, one of the fastest growing areas of statistical research is the development of specialized data collection and analysis methods for biomedical and healthcare data. The science of collecting, analyzing, and interpreting biomedical and healthcare data is called biostatistics"-- |
| Assigning source |
Provided by publisher. |
| 545 0# - BIOGRAPHICAL OR HISTORICAL DATA |
|---|
| Biographical or historical note |
About the Author<br/>Richard Rossi is Director of the Statistics Program, Co-Director of the Data Science Program, and Head of Mathematical Sciences at Montana Tech of the University of Montana. He has previously served as president of the Montana Chapter of the American Statistical Association (1996 and 2001) and as associate editor for Biometrics. Dr. Rossi has published journal articles in his areas of research interest, which include nonparametric density estimation, fi nite mixture models, and computational statistics. <br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Medical statistics. |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh85083031. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Statistics. |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh85127580. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Biometry. |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh85014244. |
| 650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Biometry. |
| Authority record control number |
https://id.nlm.nih.gov/mesh/D001699. |
| 655 #4 - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Display text |
Print version: |
| Main entry heading |
Rossi, Richard J., 1956- |
| Title |
Applied biostatistics for the health sciences |
| Edition |
Second edition. |
| Place, publisher, and date of publication |
Hoboken, NJ : Wiley, 2022 |
| International Standard Book Number |
9781119722694 |
| Record control number |
(DLC) 2021041757. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119722717 |
| Link text |
Full text available at Wiley Online Library Click here to view |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
|
| Item type |
EBOOK |