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Interpretation and uses of medical statistics /

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This work introduces concepts of statistics and their medical application to readers with no formal training in this area. It incorporates the new statistical techniques and approaches that have made an appearance since the last edition.

Bibliographic Details
Main Author: Daly, Leslie E.
Other Authors: Bourke, Geoffrey J. (Geoffrey Joseph)
Format: eBook
Language:English
Published: Oxford ; Malden, Mass. : Blackwell Science, 2000.
Edition:5th ed.
Subjects:
Medical statistics.
Medicine > Research > Methodology.
Biometry.
Biometry
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Describing Data--A Single Variable
  • Types of data
  • Qualitative data--simple tables and bar charts
  • Picturing quantitative data
  • Shapes of distributions
  • Measures of central value
  • Other measures of location--quantiles
  • Measures of dispersion
  • Probability, Populations and Samples
  • Probability
  • Populations and samples
  • Associations: Chance, Confounded or Causal?
  • Examining associations
  • Interpreting associations
  • Associations due to chance
  • Associations due to bias or confounding
  • Causal associations
  • Confidence Intervals: General Principles; Proportions, Means, Medians, Counts and Rates
  • The normal distribution
  • Sampling variation--proportions
  • Confidence intervals for a proportion
  • Sampling variation--means
  • Confidence intervals for a mean
  • Confidence intervals for a geometric mean
  • Confidence intervals for a median
  • Confidence intervals for a count or rate
  • Hypothesis Testing: General Principles and One-sample Tests for Means, Proportions, Counts and Rates
  • The null and alternative hypotheses
  • The significance test
  • Relationship with confidence intervals
  • One-sided and two-sided tests
  • General structure of a significance test: the one-sample z test for a mean
  • Non-significant results and power: type I errors, type II errors and sample size
  • The one-sample t test for a mean
  • The one-sample z test for a proportion
  • The one-sample x[superscript 2] test for many proportions
  • The one-sample z test for counts or rates.