Basic Statistics And Pharmaceutical Statistical Applications Second Edition


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Basic Statistics and Pharmaceutical Statistical Applications, Second Edition


Basic Statistics and Pharmaceutical Statistical Applications, Second Edition

Author: James E. De Muth

language: en

Publisher: CRC Press

Release Date: 2006-05-10


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The first edition of Basic Statistics and Pharmaceutical Statistical Applications successfully provided a practical, easy-to-read, basic statistics book. This second edition not only updates the previous edition, but expands coverage in the area of biostatistics and how it relates to real-world professional practice. Taking you on a roller coaster ride through the world of statistics, Dr. De Muth clearly details the methodology necessary to summarize data and make informed decisions about observed outcomes. What's new or different in the Second Edition? New chapters cover: Measures of association primarily with nominal and ordinal data and and more than 15 tests Survival statistics including actuarial analysis and an introduction to multiple regression with survival data using proportional hazards regression An introduction to the topic of evidence-based practice with discussions of sensitivity and specificity, predictive values, and likelihood ratios Odds ratios and relative risk ratios that provide valuable information for dealing with probability, odds, and risk New sections address Power and sample size determination for two-sample Z-tests of proportions Clinical equivalence and noninferiority studies, process capability, and tolerance limits Methods for assessing repeatability and reproducibility Expanded information includes: Chi square, repeated measures designs, Latin Square designs, nine multiple comparison tests, and outlier testing Inverse prediction with linear regression, handling of multiple data points at different levels of independent variable, and assessment of parallelism of slopes for two samples Additional types of bivariate correlations and various assessments for independence and randomness More nonparametric tests including new information on post hoc comparisons for a significant Kruskal-Wallis test, the Kolmogorov-Smirnov goodness-of-fit test, and the Anderson-Darling test, as well as runs and range tests Eight new tables useful for the interpretation of some of the new inferential statistics De Muth provides concrete examples that enable you to effectively manage information in your day-to-day problem solving and reporting of findings. By avoiding heavy-duty mathematics and theory, even the mathematically challenged can benefit and increase their confidence in using statistics procedures.

Basic Statistics and Pharmaceutical Statistical Applications, Third Edition


Basic Statistics and Pharmaceutical Statistical Applications, Third Edition

Author: James E. De Muth

language: en

Publisher: CRC Press

Release Date: 2014-04-28


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Building on its best-selling predecessors, Basic Statistics and Pharmaceutical Statistical Applications, Third Edition covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving. Incorporating new material in virtually every chapter, this third edition now provides information on software applications to assist with evaluating data. New to the Third Edition Use of Excel® and Minitab® for performing statistical analysis Discussions of nonprobability sampling procedures, determining if data is normally distributed, evaluation of covariances, and testing for precision equivalence Expanded sections on regression analysis, chi square tests, tests for trends with ordinal data, and tests related to survival statistics Additional nonparametric procedures, including the one-sided sign test, Wilcoxon signed-ranks test, and Mood’s median test With the help of flow charts and tables, the author dispels some of the anxiety associated with using basic statistical tests in the pharmacy profession and helps readers correctly interpret their results using statistical software. Through the text’s worked-out examples, readers better understand how the mathematics works, the logic behind many of the equations, and the tests’ outcomes.

A Team-Based Learning Guide for Faculty in the Health Professions


A Team-Based Learning Guide for Faculty in the Health Professions

Author: Dr. David Hawkins

language: en

Publisher: AuthorHouse

Release Date: 2014-07-30


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Team-Based Learning (TBL) is a well-defined pedagogy that combines individual pre-class guided learning with small group in-class active learning. TBL emphasizes the importance of individual accountability, team-work, critical thinking, and the application of basic, fundamental concepts in solving real world problems. The role of the instructor is to clearly articulate the learning outcomes and objectives, create challenging problems for students to solve, and probe their reasoning in reaching conclusions. The purpose of this guide is to provide faculty with a concise set of instructions on how to create a course built on a TBL frame. Using the backward design method, faculty will be guided through the process of first developing learning outcomes, then identifying fundamental course concepts and defining specific learning objectives, followed by generating guided learning materials, and finally creating robust instruments for assessing student learning.