Friday, February 15, 2013

Basic Statistics and Pharmaceutical Statistical Applications, Second Edition

Basic Statistics and Pharmaceutical Statistical Applications, Second Edition



Author: James E. De Muth
Edition: 2
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 0849337992



Basic Statistics and Pharmaceutical Statistical Applications, Second Edition (Chapman & Hall/CRC Biostatistics Series)


The first edition of Basic Statistics and Pharmaceutical Statistical Applications successfully provided a practical, easy-to-read, basic statistics book. Medical books Basic Statistics and Pharmaceutical Statistical Applications, Second Edition . 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 Medical books Basic Statistics And Pharmaceutical Statistical Applications, Second Edition. Store Search search Title, ISBN and Author Basic Statistics and Pharmaceutical Statistical Applications, Second Edition by James Demuth Estimated delivery 3-12 business days Format Hardcover Condition Brand New Focusing on applications to research, clinical trials, and quality control, Basic Statistics amp; Pharmaceutical Statistical Applications is a practical, easy-to-use text and reference that builds a basic knowledge of statistics. Accessible and non-threatening, it discusses all of the co

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Download link for Basic Statistics And Pharmaceutical Statistical Applications, Second Edition De

Store Search search Title, ISBN and Author Basic Statistics and Pharmaceutical Statistical Applications, Second Edition by James Demuth Estimated delivery 3-12 business days Format Hardcover Condition Brand New Focusing on applications to research, clinical trials, and quality control, Basic Statistics amp; Pharmaceutical Statistical Applications is a practical, easy-to-use text and reference that builds a basic knowledge of statistics. Accessible and non-threatening, it discusses all of the co

New Hardcover.

Taylor & Francis Ltd | 2006 | 744 pages | ISBN-13: 9780849337994 | ISBN-10: 0849337992 | You save 10%





Medical Book Basic Statistics and Pharmaceutical Statistical Applications, Second Edition



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.



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