{"product_id":"biostatistics-9781119282372","title":"Biostatistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe 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 understandand appropriately useprobability 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePREFACE vii   1 INTRODUCTION TO BIOSTATISTICS 1   1.1 Introduction, 2   1.2 Basic Concepts and Definitions, 2   1.3 Measurement and Measurement Scales, 5   1.4 Sampling and Statistical Inference, 7   Exercises, 12   1.5 The Scientific Method, 13   Exercises, 15   1.6 Computers and Technology, 15   1.7 Summary, 16   Review Questions and Exercises, 16   References, 17   2 DESCRIPTIVE STATISTICS 18   2.1 Introduction, 19   2.2 The Ordered Array, 19   2.3 Frequency Tables, 21   Exercises, 25   2.4 Measures of Central Tendency, 29   2.5 Measures of Dispersion, 34   Exercises, 41   2.6 Visualizing Data, 43   Exercises, 51   2.7 Summary, 51   Summary of Formulas for Chapter 2, 51   Review Questions and Exercises, 53   References, 56   3 SOME BASIC PROBABILITY CONCEPTS 57   3.1 Introduction, 57   3.2 Two Views of Probability: Objective and Subjective, 58   3.3 Elementary Properties of Probability, 60   3.4 Calculating the Probability of an Event, 61   Exercises, 68   3.5 Bayes’ Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative, 69   Exercises, 73   3.6 Summary, 74   Summary of Formulas for Chapter 3, 75   Review Questions and Exercises, 76   References, 79   4 PROBABILITY DISTRIBUTIONS 80   4.1 Introduction, 81   4.2 Probability Distributions of Discrete Variables, 81   Exercises, 86   4.3 The Binomial Distribution, 87   Exercises, 95   4.4 The Poisson Distribution, 96   Exercises, 100   4.5 Continuous Probability Distributions, 101   4.6 The Normal Distribution, 103   Exercises, 109   4.7 Normal Distribution Applications, 109   Exercises, 113   4.8 Summary, 114   Summary of Formulas for Chapter 4, 114   Review Questions and Exercises, 115   References, 117   5 SOME IMPORTANT SAMPLING DISTRIBUTIONS 119   5.1 Introduction, 119   5.2 Sampling Distributions, 120   5.3 Distribution of the Sample Mean, 121   Exercises, 128   5.4 Distribution of the Difference between Two Sample Means, 129   Exercises, 133   5.5 Distribution of the Sample Proportion, 134   Exercises, 136   5.6 Distribution of the Difference between Two Sample Proportions, 137   Exercises, 139   5.7 Summary, 139   Summary of Formulas for Chapter 5, 140   Review Questions and Exercises, 140   References, 141   6 ESTIMATION 143   6.1 Introduction, 144   6.2 Confidence Interval for a Population Mean, 147   Exercises, 152   6.3 The t Distribution, 153   Exercises, 157   6.4 Confidence Interval for the Difference between Two Population Means, 158   Exercises, 164   6.5 Confidence Interval for a Population Proportion, 165   Exercises, 166   6.6 Confidence Interval for the Difference between Two Population Proportions, 167   Exercises, 168   6.7 Determination of Sample Size for Estimating Means, 169   Exercises, 171   6.8 Determination of Sample Size for Estimating Proportions, 171   Exercises, 172   6.9 The Chi-Square Distribution and the Confidence Interval for the Variance of a Normally Distributed Population, 173   Exercises, 177   6.10 The F-Distribution and the Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations, 177   Exercises, 180   6.11 Summary, 181   Summary of Formulas for Chapter 6, 182   Review Questions and Exercises, 183   References, 186   7 HYPOTHESIS TESTING 189   7.1 Introduction, 190   7.2 Hypothesis Testing: A Single Population Mean, 200   Exercises, 211   7.3 Hypothesis Testing: The Difference between Two Population Means, 213   Exercises, 221   7.4 Paired Comparisons, 224   Exercises, 229   7.5 Hypothesis Testing: A Single Population Proportion, 232   Exercises, 234   7.6 Hypothesis Testing: The Difference between Two Population Proportions, 235   Exercises, 236   7.7 Hypothesis Testing: A Single Population Variance, 238   Exercises, 240   7.8 Hypothesis Testing: The Ratio of Two Population Variances, 241   Exercises, 244   7.9 The Type II Error and the Power of a Test, 245   Exercises, 249   7.10 Determining Sample Size to Control Type II Errors, 249   Exercises, 251   7.11 Summary, 251   Summary of Formulas for Chapter 7, 252   Review Questions and Exercises, 254   References, 264   8 ANALYSIS OF VARIANCE 267   8.1 Introduction, 268   8.2 The Completely Randomized Design, 271   Exercises, 289   8.3 The Randomized Complete Block Design, 294   Exercises, 301   8.4 The Repeated Measures Design, 305   Exercises, 313   8.5 The Factorial Experiment, 315   Exercises, 326   8.6 Summary, 329   Summary of Formulas for Chapter 8, 329   Review Questions and Exercises, 331   References, 350   9 SIMPLE LINEAR REGRESSION AND CORRELATION 354   9.1 Introduction, 355   9.2 The Regression Model, 355   9.3 The Sample Regression Equation, 357   Exercises, 364   9.4 Evaluating the Regression Equation, 366   Exercises, 380   9.5 Using the Regression Equation, 380   Exercises, 384   9.6 The Correlation Model, 384   9.7 The Correlation Coefficient, 386   Exercises, 394   9.8 Some Precautions, 397   9.9 Summary, 398   Summary of Formulas for Chapter 9, 399   Review Questions and Exercises, 401   References, 413   10 MULTIPLE REGRESSION AND CORRELATION 416   10.1 Introduction, 417   10.2 The Multiple Linear Regression Model, 417   10.3 Obtaining the Multiple Regression Equation, 418   Exercises, 423   10.4 Evaluating the Multiple Regression Equation, 427   Exercises, 433   10.5 Using the Multiple Regression Equation, 433   Exercises, 435   10.6 The Multiple Correlation Model, 435   Exercises, 443   10.7 Summary, 446   Summary of Formulas for Chapter 10, 447   Review Questions and Exercises, 448   References, 454   11 REGRESSION ANALYSIS: SOME ADDITIONAL TECHNIQUES 455   11.1 Introduction, 455   11.2 Qualitative Independent Variables, 459   Exercises, 472   11.3 Variable Selection Procedures, 474   Exercises, 478   11.4 Logistic Regression, 485   Exercises, 495   11.5 Poisson Regression, 497   Exercises, 503   11.6 Summary, 504   Summary of Formulas for Chapter 11, 505   Review Questions and Exercises, 506   References, 517   12 ThE CHI-SQUARE DISTRIBUTION AND THE ANALYSIS OF FREQUENCIES 519   12.1 Introduction, 520   12.2 The Mathematical Properties of the Chi-Square Distribution, 520   12.3 Tests of Goodness-of-Fit, 523   Exercises, 533   12.4 Tests of Independence, 535   Exercises, 544   12.5 Tests of Homogeneity, 545   Exercises, 551   12.6 The Fisher’s Exact Test, 552   Exercises, 557   12.7 Relative Risk, Odds Ratio, and the Mantel–Haenszel Statistic, 557   Exercises, 567   12.8 Summary, 569   Summary of Formulas for Chapter 12, 570   Review Questions and Exercises, 571   References, 576   13 NONPARAMETRIC AND DISTRIBUTION-FREE STATISTICS 579   13.1 Introduction, 580   13.2 Measurement Scales, 581   13.3 The Sign Test, 581   Exercises, 588   13.4 The Wilcoxon Signed-Rank Test for Location, 589   Exercises, 593   13.5 The Median Test, 594   Exercises, 596   13.6 The Mann–Whitney Test, 597   Exercises, 602   13.7 The Kolmogorov–Smirnov Goodness-of-Fit Test, 604   Exercises, 610   13.8 The Kruskal–Wallis One-Way Analysis of Variance by Ranks, 610   Exercises, 615   13.9 The Friedman Two-Way Analysis of Variance by Ranks, 618   Exercises, 622   13.10 The Spearman Rank Correlation Coefficient, 623   Exercises, 629   13.11 Nonparametric Regression Analysis, 631   Exercises, 634   13.12 Summary, 634   Summary of Formulas for Chapter 13, 635   Review Questions and Exercises, 636   References, 644   14 SURVIVAL ANALYSIS 646   14.1 Introduction, 647   14.2 Time-to-Event Data and Censoring, 647   14.3 The Kaplan–Meier Procedure, 651   Exercises, 656   14.4 Comparing Survival Curves, 658   Exercises, 661   14.5 Cox Regression: The Proportional Hazards Model, 663   Exercises, 666   14.6 Summary, 667   Summary of Formulas for Chapter 14, 667   Review Questions and Exercises, 668   References, 669   15 VITAL STATISTICS 671   15.1 Introduction, 671   15.2 Death Rates and Ratios, 672   Exercises, 677   15.3 Measures of Fertility, 679   Exercises, 681   15.4 Measures of Morbidity, 682   Exercises, 683   15.5 Summary, 683   Summary of Formulas for Chapter 15, 684   Review Questions and Exercises, 685   References, 686   INDEX 689   The following supplements are available through your instructor   APPENDIX: STATISTICAL TABLES   ANSWERS TO SELECTED PROBLEMS","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49528851890519,"sku":"9781119282372","price":105.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119282372.jpg?v=1731873276","url":"https:\/\/bookcurl.com\/products\/biostatistics-9781119282372","provider":"Book Curl","version":"1.0","type":"link"}