MTU Library Catalogue

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Primer of biostatistics / Stanton A. Glantz.

By: Glantz, Stanton A.
Material type: materialTypeLabelBookPublisher: New York : McGraw-Hill, Medical Pub. Div., 2002Edition: 5th ed.Description: xviii, 489 p. : ill. ; 21 cm. + pbk.ISBN: 0071379460.Subject(s): Medical statistics | Biometry | BiometryDDC classification: 610.72
Contents:
Biostatistics and clinical practice -- How to summarize data -- How to test for differences between groups -- The special case of two groups: the t test -- How to analyze rates and proportions -- What does "not significant" really mean? -- Confidence intervals -- How to test for trends -- Experiments when each subject receives more than one treatment -- Alternatives to analysis of variance and the t test based on ranks -- How to analyze survival data -- What do the data really show?
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 610.72 (Browse shelf(Opens below)) 1 Available 00094923
Total holds: 0

Enhanced descriptions from Syndetics:

Primer of Biostatistics presents the practical areas of statistics in terms of their relevance to medical and life sciences applications. It includes many illustrative examples and challenging problems that reinforce the author's unique and intuitive approach to the subject. The book is also available with a disk containing problem sets (Win or Mac), and either version of the disk is also available alone.

Includes bibliographical references and index.

Biostatistics and clinical practice -- How to summarize data -- How to test for differences between groups -- The special case of two groups: the t test -- How to analyze rates and proportions -- What does "not significant" really mean? -- Confidence intervals -- How to test for trends -- Experiments when each subject receives more than one treatment -- Alternatives to analysis of variance and the t test based on ranks -- How to analyze survival data -- What do the data really show?

Table of contents provided by Syndetics

  • Summary of Some Statistical Methods to Test Hypotheses
  • Location of Tables for Tests of Significance Preface
  • 1 Biostatistics and Clinical Practice
  • 2 How to Summarize Data
  • 3 How to Test for Differences Between Groups
  • 4 The Special Case of Two Groups: The t Test
  • 5 How to Analyze Rates an Proportions
  • 6 What Does "Not Significant" Really Mean?
  • 7 Confidence Intervals
  • 8 How to Test for Trends
  • 9 Experiments When Each Subject Receives More than One Treatment
  • 10 Alternatives to Analysis of Variance and the t Test Based on Ranks
  • 11 How to Analyze Survival Data
  • 12 What Do the Data Really Show?
  • Index