Math and Dosage Calculations for Medical Careers' 2007 Ed.2007 Edition PDF Download
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Author:
Publisher: Rex Bookstore, Inc.
ISBN: 9780071258951
Category :
Languages : en
Pages : 574
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Book Description
Author:
Publisher: Rex Bookstore, Inc.
ISBN: 9780071258951
Category :
Languages : en
Pages : 574
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Book Description
Author: Kathryn A. Booth
Publisher:
ISBN: 9780073018959
Category : Pharmaceutical arithmetic
Languages : en
Pages : 528
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Book Description
"Math and Dosage Calculations for Medical Careers teaches the skills and techniques medical assistants, licensed practical nurses, pharmacy technicians, and paramedics need to calculate the amount of medication they should administer to patients. Students learn to calculate dosages based on ratio proportions, fraction proportions, the formula method, and dimensional analysis.
Author: Kathryn A. Haddix
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN: 9780028021898
Category : Drugs
Languages : en
Pages : 0
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Book Description
Dosage Calculations for Medical Careers teaches the skills and techniques medical assistants, licensed practical nurses, pharmacy technicians, and paramedics need to calculate the amount of medication they should administer to patients. Students learn to calculate dosages based on ratio proportions, fraction proportions, the formula method, and dimensional analysis.
Author: James Whaley
Publisher:
ISBN: 9781259429415
Category :
Languages : en
Pages :
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Book Description
Author: Kathryn A. Booth
Publisher:
ISBN: 9780077426187
Category : Pharmaceutical arithmetic
Languages : en
Pages :
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Book Description
Author: June Olsen
Publisher: Pearson
ISBN: 9780136876960
Category :
Languages : en
Pages : 0
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Book Description
DIGITAL UPDATE available for Spring 2022 classes For courses in medical dosage calculation in departments of nursing, pharmacy, pre-med, pre-dental, and other health disciplines, and for courses covering dosage calculation in other programs, such as pharmacology, pediatrics, and critical care. This ISBN is for the MyLab access card. Pearson eText is included. The field's most complete, accessible drug calculation text and workbook Medical Dosage Calculations: A Dimensional Analysis Approach helps students develop dosage calculation skills and transfer those skills to the safe administration of medication in a clinical environment. Using their pioneering dimensional analysis method, the authors progress from simple math topics to more complex ones. As they go, students build both the core math skills and professional understanding needed to calculate drug doses accurately. With more than 1,000 realistic problems, the 11th edition update includes new and enhanced resources helping students visualize the complete dosage calculation process, including some of the more complex math concepts. Reach every student with MyLab Nursing for Dosage Calculations with Pearson eText MyLab® empowers you to reach every student. This flexible digital platform combines unrivaled content, online assessments, and customizable features so you can personalize learning and improve results, one student at a time. Please contact your Pearson Health Sciences Specialist about package options. Pearson eText is an easy-to-use digital textbook available within MyLab that lets students read, highlight, take notes, and review key vocabulary all in one place. If you're not using MyLab, students can purchase Pearson eText on their own or you can assign it as a course to schedule readings, view student usage analytics, and share your own notes with students. Learn more about Pearson eText.
Author: Kathryn M Booth
Publisher: McGraw-Hill
ISBN: 9780077640446
Category : Pharmaceutical arithmetic
Languages : en
Pages :
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Book Description
Author: Kathryn A. Booth
Publisher:
ISBN: 9780028021904
Category : Pharmaceutical arithmetic
Languages : en
Pages : 170
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Book Description
Author: Lawrence A. Trissel
Publisher: American Pharmacists Association (APhA)
ISBN:
Category : Medical
Languages : en
Pages : 456
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Book Description
"Helps readers determine whether formulated compounds will be stable for the anticipated duration of use; properly store and repackage compounded formulations; formulate in accordance with documented standards; and, counsel patients on the use and storate of comounded medications." -- Back cover.
Author: Kandethody M. Ramachandran
Publisher: Elsevier
ISBN: 012417132X
Category : Mathematics
Languages : en
Pages : 825
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Book Description
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods
