Principles of Biostatistics (3版)

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Principles of Biostatistics 3/e +作者：Pagano +年份：2022 年3 版 +ISBN：9780367355807 +書號：PS0504HC +規格：精裝/彩色 +頁數：620 +出版商：Taylor Principles of Biostatistics, Third Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life. Thoroughly revised and updated, this third edition includes a new chapter introducing the basic principles of Study Design, as well as new sections on sample size calculations for two-sample tests on means and proportions, the Kruskal-Wallis test, and the Cox proportional hazards model.  Key Features: Includes a new chapter on the basic principles of study design. Additional review exercises have been added to each chapter. Datasets and Stata and R code are available on the book’s website. The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them. The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty. It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference. Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them. 目錄 1. Introduction Part I Variability 2. Descriptive Statistics 3. Rates and Standardization 4. Life Tables Part II Probability 5. Probability 6. Screening and Diagnostic Tests 7. Theoretical Probability Distributions 8. Sampling Distribution of the Mean Part III Inference 9. Confidence Intervals 10. Hypothesis Testing 11. Comparison of Two Means 12. Analysis of Variance 13. Nonparametric Methods 14. Inference on Proportions 15. Contingency Tables 16. Correlation 17. Simple Linear Regression 18. Multiple Linear Regression 19. Logistic Regression 20. Survival Analysis 21. Sampling Theory 22. Study Design Bibliography Glossary Statistical Tables Index

Applied Biostatistics for the Health Sciences (2版)

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【簡介】 APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES In this newly revised edition of Applied Biostatistics for the Health Sciences, accomplished statistician Dr. Richard Rossi delivers a robust and easy-to-understand exploration of statistics in the context of applied health science and biostatistics. The book covers sample design, logistic regression, experimental design, survival analysis, basic statistical computation, and many more topics with a strong focus on the correct use and interpretation of statistics. The author also explains how to assess the quality of observed data, how to collect quality data, and the use of confidence intervals in conjunction with hypothesis and significance tests. A thorough introduction to biostatistics, including explanations of fundamental concepts like populations, samples, statistics, biomedical studies, and data set examples A comprehensive exploration of population descriptions, including qualitative and quantitative variables, multivariate data, measures of dispersion, and probability Practical discussions of random sampling, summarizing random samples, and the measurement of the reliability of statistics In-depth examinations of confidence intervals, statistical hypothesis testing, simple and multiple linear regression, and experimental design Perfect for health science and biostatistics students and professors at the upper undergraduate and graduate levels, Applied Biostatistics for the Health Sciences is also a must-read reference for practitioners and professionals in the fields of pharmacy, biochemistry, nursing, health care informatics, and the applied health sciences. 【目錄】