Essential statistics for the pharmaceutical sciences
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Chichester, West Sussex, England :
John Wiley ,
c2016
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| Edition: | 2nd ed. |
| Subjects: |
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.