Essential statistics for the pharmaceutical sciences /
by Rowe, Philip,
Edition statement:Second edition. Physical details: 409p. ; 26cm. ISBN:9781118913390; 9781118913390.Item type | Current location | Call number | Status | Date due | Barcode |
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Books | University of Sargodha-Central Library | 615.107 ROE (Browse shelf) | Available | 100641 | |
Books | University of Sargodha-Central Library | 615.107 ROE (Browse shelf) | Available | 96317 |
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615.1068 SEP Pharmaceutical care made easy: | 615.10684 POR Portfolio, program, and project management in the pharmaceutical and biotechnology industries / | 615.107 ROE Essential statistics for the pharmaceutical sciences / | 615.107 ROE Essential statistics for the pharmaceutical sciences / | 615.107 SHC Comprehensive pharmacy review for NAPLEX / | 615.107 SHC Comprehensive pharmacy review / | 615.107 SHC Comprehensive pharmacy review / |
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.
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