Whether you are interpreting the medical literature to optimize patient care, improve health outcomes, or generate hypothesis for research, an understanding of biostatistics is essential for success. Despite exposure to biostatistics in undergraduate and professional education, pharmacists tend to be less confident in their knowledge of biostatistics and their ability to interpret the medical literature than in their clinical skills. This book was developed to bolster the pharmacist's knowledge and confidence for using biostatistical tools for interpreting the literature. With material drawn from ACCP's renowned Pharmacotherapy Self-Assessment Program (PSAP) and the live pharmacotherapy preparatory course Updates in Therapeutics, editor Robert DiCenzo, Pharm.D., FCCP, BCPS, has designed this review to support pharmacists' preparation for the Pharmacotherapy and Ambulatory Care Board of Pharmacy Specialties (BPS) examinations.
... of Independpendent ence Mantel - Haenszel Log Linear Analysis Sign Test Correlated McNemar Test Wilcoxon Matched Pairs Spearman Rank t Test Pearson's R Linear Regression ANOVA Multivariate Methods Independent > 2 Samples x ?
This is a comprehensive introduction to modern biostatistics for advanced undergraduate/graduate level students and workers in health related disciplines.
Biostatistics for the Health Sciences
A Short Introduction to Stata for Biostatistics: Updated to Stata 12
A Short Introduction to Stata for Biostatistics: Updated to Stata 10
Accompanying CD-ROM contains a variety of data sets which are used to illustrate the different Stata commands.
PDQ Statistics
Medical Statistics: Yi Xue Tong Ji Xue
Bioestadística médica
Boylston WH ; Gerstner A ; DeFord JH ; Madsen M ; Flurkey K ; Harrison DE ; Papaconstantinou J. Altered cholesterologenic and lipogenic transcriptional profile in livers of aging Snell dwarf ( Pitldw / dwJ ) mice .