Essential statistics for the pharmaceutical sciences /

Bibliographic Details
Main Author: Rowe, Philip (Author)
Format: eBook
Language:English
Published: Chichester, West Sussex ; Hoboken, NJ : Wiley, [2015]
Edition:Second edition.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Data types
  • Data presentation
  • Descriptive statistics for interval scale data
  • The normal distribution
  • Sampling from populations. the standard error of the mean
  • 95% confidence interval for the mean and data transformation
  • The two-sample t-test (1): introducing hypothesis tests
  • The two-sample t-test (2): the dreaded P value
  • The two-sample t-test (3): false negatives, power and necessary sample sizes
  • The two-sample t-test (4): statistical significance, practical significance and equivalence
  • The two-sample t-test (5): one-sided testing
  • What does a statistically significant result really tell us?
  • The paired t-test: comparing two related sets of measurements
  • Analyses of variance: going beyond t-tests
  • Correlation and regression relationships between measured values
  • Analysis of covariance
  • Describing categorised data and the goodness of fit chi-square test
  • Contingency chi-square, Fisher's and McNemar's tests
  • Relative risk, odds ratio and number needed to treat
  • Logistic regression
  • Ordinal and non-normally distributed data. transformations and non-parametric tests
  • Measures of agreement
  • Survival analysis
  • Multiple testing
  • Questionnaires.