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Essential statistics for the pharmaceutical sciences / Philip Rowe.

By: Material type: TextTextPublisher: Chichester, West Sussex ; Hoboken, NJ : Wiley, [2015]Edition: Second editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118913413 (epub)
  • 1118913418 (epub)
  • 9781118913406 (pdf)
  • 111891340X (pdf)
  • 9781119109075
  • 1119109078
Subject(s): Genre/Form: Additional physical formats: Print version:: Essential statistics for the pharmaceutical sciencesDDC classification:
  • 615/.1072 23
LOC classification:
  • RS57
NLM classification:
  • QV 20.5
Online resources:
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.
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Includes bibliographical references and index.

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.

Description based on print version record and CIP data provided by publisher.

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