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Khulna University of Engineering & Technology
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Essential statistics for the pharmaceutical sciences / Philip Rowe.

By: Rowe, Philip [author.].
Material type: materialTypeLabelBookPublisher: Chichester, West Sussex ; Hoboken, NJ : Wiley, [2015]Edition: Second edition.Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781118913413 (epub); 1118913418 (epub); 9781118913406 (pdf); 111891340X (pdf); 9781119109075; 1119109078.Subject(s): Drugs -- Research -- Statistical methods | Pharmacology -- Statistical methods | MEDICAL / Pharmacology | Research Design | Statistics as Topic | Pharmacology -- methodsGenre/Form: Electronic books.Additional physical formats: Print version:: Essential statistics for the pharmaceutical sciencesDDC classification: 615/.1072 Online resources: Wiley Online Library
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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Khulna University of Engineering & Technology
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