Basic Statistics And Pharmaceutical Statistical Applications Second Edition
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Basic Statistics And Pharmaceutical Statistical Applications Second Edition
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Author : James E. De Muth
language : en
Publisher: CRC Press
Release Date : 2006-05-10
Basic Statistics And Pharmaceutical Statistical Applications Second Edition written by James E. De Muth and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-10 with Mathematics categories.
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
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Author : James E. De Muth
language : en
Publisher: CRC Press
Release Date : 2014-04-28
Basic Statistics And Pharmaceutical Statistical Applications written by James E. De Muth and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-28 with Mathematics categories.
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
Basic Statistics And Pharmaceutical Statistical Applications Third Edition
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Author : James E. De Muth
language : en
Publisher: CRC Press
Release Date : 2014-04-28
Basic Statistics And Pharmaceutical Statistical Applications Third Edition written by James E. De Muth and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-28 with Mathematics categories.
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
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Author : Dr. David Hawkins
language : en
Publisher: AuthorHouse
Release Date : 2014-07-30
A Team Based Learning Guide For Faculty In The Health Professions written by Dr. David Hawkins and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-30 with Education categories.
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.
Statistical Methods In Drug Combination Studies
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Author : Wei Zhao
language : en
Publisher: CRC Press
Release Date : 2014-12-19
Statistical Methods In Drug Combination Studies written by Wei Zhao and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-19 with Mathematics categories.
The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologies. The theoretical development, coupled with advances in statistical computing, makes it possible to apply these emerging statistical methods in in vitro and in vivo drug combination assessments. Howeve
Statistical Methods For Drug Safety
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Author : Robert D. Gibbons
language : en
Publisher: CRC Press
Release Date : 2015-07-28
Statistical Methods For Drug Safety written by Robert D. Gibbons and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-28 with Mathematics categories.
Explore Important Tools for High-Quality Work in Pharmaceutical Safety Statistical Methods for Drug Safety presents a wide variety of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for the analysis of spontaneous adverse event reports, and newer approaches, such as the use of marginal structural models for controlling dynamic selection bias in the analysis of large-scale longitudinal observational data. Choose the Right Statistical Approach for Analyzing Your Drug Safety Data The book describes linear and non-linear mixed-effects models, discrete-time survival models, and new approaches to the meta-analysis of rare binary adverse events. It explores research involving the re-analysis of complete longitudinal patient records from randomized clinical trials. The book discusses causal inference models, including propensity score matching, marginal structural models, and differential effects, as well as mixed-effects Poisson regression models for analyzing ecological data, such as county-level adverse event rates. The authors also cover numerous other methods useful for the analysis of within-subject and between-subject variation in adverse events abstracted from large-scale medical claims databases, electronic health records, and additional observational data streams. Advance Statistical Practice in Pharmacoepidemiology Authored by two professors at the forefront of developing new statistical methodologies to address pharmacoepidemiologic problems, this book provides a cohesive compendium of statistical methods that pharmacoepidemiologists can readily use in their work. It also encourages statistical scientists to develop new methods that go beyond the foundation covered in the text.
Adaptive Design Methods In Clinical Trials
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Author : Shein-Chung Chow
language : en
Publisher: CRC Press
Release Date : 2006-11-16
Adaptive Design Methods In Clinical Trials written by Shein-Chung Chow and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-16 with Mathematics categories.
Although adaptive design methods are flexible and useful in clinical research, little or no regulatory guidelines are available. One of the first books on the topic, Adaptive Design Methods in Clinical Trials presents the principles and methodologies in adaptive design and analysis that pertain to adaptations made to trial or statistical procedures
Bioequivalence And Statistics In Clinical Pharmacology
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Author : Scott D. Patterson
language : en
Publisher: CRC Press
Release Date : 2017-03-27
Bioequivalence And Statistics In Clinical Pharmacology written by Scott D. Patterson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-27 with Mathematics categories.
Maintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition explores statistics used in day-to-day clinical pharmacology work. The book is a starting point for those involved in such research and covers the methods needed to design, analyze, and interpret bioequivalence trials; explores when, how, and why these studies are performed as part of drug development; and demonstrates the methods using real world examples. Drawing on knowledge gained directly from working in the pharmaceutical industry, the authors set the stage by describing the general role of statistics. Once the foundation of clinical pharmacology drug development, regulatory applications, and the design and analysis of bioequivalence trials are established, including recent regulatory changes in design and analysis and in particular sample-size adaptation, they move on to related topics in clinical pharmacology involving the use of cross-over designs. These include, but are not limited to, safety studies in Phase I, dose-response trials, drug interaction trials, food-effect and combination trials, QTc and other pharmacodynamic equivalence trials, proof-of-concept trials, dose-proportionality trials, and vaccines trials. This second edition addresses several recent developments in the field, including new chapters on adaptive bioequivalence studies, scaled average bioequivalence testing, and vaccine trials. Purposefully designed to be instantly applicable, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition provides examples of SAS and R code so that the analyses described can be immediately implemented. The authors have made extensive use of the proc mixed procedures available in SAS.
Statistical Design And Analysis Of Clinical Trials
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Author : Weichung Joe Shih
language : en
Publisher: CRC Press
Release Date : 2015-07-28
Statistical Design And Analysis Of Clinical Trials written by Weichung Joe Shih and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-28 with Mathematics categories.
Statistical Design and Analysis of Clinical Trials: Principles and Methods concentrates on the biostatistics component of clinical trials. Developed from the authors' courses taught to public health and medical students, residents, and fellows during the past 15 years, the text shows how biostatistics in clinical trials is an integration of many fu
Statistical Methods For Healthcare Performance Monitoring
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Author : Alex Bottle
language : en
Publisher: CRC Press
Release Date : 2016-08-05
Statistical Methods For Healthcare Performance Monitoring written by Alex Bottle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-05 with Mathematics categories.
Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it’s more crucial than ever to know how well the healthcare system and all its components – from staff member to regional network – are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists. Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.