Essential statistics for the pharmaceutical sciences / Philip Rowe.

Format:

Book

Author/Creator:

Rowe, Philip, author.

Series:

New York Academy of Sciences

Language:

English

Subjects (All):

Drugs--Research--Statistical methods.

Drugs.

Pharmacology--Statistical methods.

Pharmacology.

Physical Description:

1 online resource (434 p.)

Edition:

Second edition.

Place of Publication:

Chichester, England : Wiley, 2016.

Language Note:

English

Summary:

Essential Statistics for the Pharmaceutical Sciences is targeted at all those involved in research in pharmacology, pharmacy or other areas of pharmaceutical science; everybody from undergraduate project students to experienced researchers should find the material they need. This book will guide all those who are not specialist statisticians in using sound statistical principles throughout the whole journey of a research project - designing the work, selecting appropriate statistical methodology and correctly interpreting the results. It deliberately avoids detailed calculation methodology

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.

Notes:

Includes index.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-118-91341-8

1-118-91342-6

1-119-10907-8

1-118-91340-X

OCLC:

908107408