Applied Biostatistics For The Health Sciences, Second Edition

Unique features include coverage of sample design, logistic regression, experimental design, survival analysis, and a strong focus on the correct use and interpretation of statistics rather than computation. Other notable features include an emphasis on assessing the quality of the observed data, collecting quality data, using confidence intervals in conjunction with hypothesis and significance tests. The analysis of qualitative data in this book is given heavier emphasis than in the typical introductory biostatistics texts, tests of independence are presented in the chapter on hypothesis testing, use of t-tests rather than z-tests are presented first, and sampling design and sample size considerations are discussed throughout the text.

Pedagogical features include data from real life studies, formulas highlighted in text boxes, examples and exercises focusing on the concepts and correct interpretation of the statistical analysis, chapter summaries include a glossary of key terms, and the examples and problems are 100% based on health science problems.

Major features of the new edition include an early introduction to the odds ratio and a discussion of the odds ratio throughout the text, using logistic regression to classify, and 30% new exercises will be featured. New topical coverage includes odds ratio, estimating the odds ratio, confidence intervals for the odds ration, and logistic classification. The same data sets used in the first will be used in the second edition, and a new data set on iron-doped apatite nanoparticles on viral infection will be included in the revised text.