A fundamental and straightforward guide to using andunderstanding statistical concepts in medical research Designed specifically for healthcare practitioners who need tounderstand basic biostatistics but do not have much time to spare,The Essentials of Biostatistics for Physicians, Nurses andClinicians presents important statistical methods used intoday's biomedical research and provides insight on theirappropriate application. Rather than provide detailed mathematicsfor each of these methods, the book emphasizes what healthcarepractitioners need to know to interpret and incorporate the latestbiomedical research into their practices.
The author draws from his own experience developing and teachingbiostatistics courses for physicians and nurses, offering apresentation that is non-technical and accessible. The book beginswith a basic introduction to the relationship between biostatisticsand medical research, asking the question "why study statistics?,"while also exploring the significance of statisitcal methods inmedical literature and clinical trials research. Subsequentchapters explore key topics, including: * Correlation, regression, and logistic regression * Diagnostics * Estimating means and proportions * Normal distribution and the central limit theorem * Sampling from populations * Contingency tables * Meta-analysis * Nonparametric methods * Survival analysis
Throughout the book, statistical methods that are often utilizedin biomedical research are outlined, including repeated measuresanalysis of variance, hazard ratios, contingency tables, log ranktests, bioequivalence, cross-over designs, selection bias, andgroup sequential methods. Exercise sets at the end of each chapterallow readers to test their comprehension of the presented conceptsand techniques.
The Essentials of Biostatistics for Physicians, Nurses, andClinicians is an excellent reference for doctors, nurses, andother practicing clinicians in the fields of medicine, publichealth, pharmacy, and the life sciences who need to understand andapply statistical methods in their everyday work. It also serves asa suitable supplement for courses on biostatistics at theupper-undergraduate and graduate levels.
