Essential Statistics for the Pharmaceutical Sciences

Content: 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.