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0000089828 |
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20160727093000.0 |
| 008 |
160613s2015 -uk eng |
| 020 |
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|a 9781118913383 (cloth)
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| 020 |
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|a 9781118913390 (pbk.)
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| 050 |
0 |
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|a RS57
|b .R69 2016
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| 060 |
0 |
0 |
|a QV 20.5
|b .R878 2016
|
| 090 |
0 |
0 |
|a RS57
|b .R69 2016
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| 100 |
1 |
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|a Rowe, Philip ,
|e author
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| 245 |
0 |
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|a Essential statistics for the pharmaceutical sciences
|c Philip Rowe
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| 250 |
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|a 2nd ed.
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| 260 |
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|a Chichester, West Sussex, England :
|b John Wiley ,
|c c2016
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| 300 |
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|a xx, 409 p. :
|b ill. ;
|c 24 cm.
|
| 500 |
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|a Includes Index
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| 505 |
0 |
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|a 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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| 650 |
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|a Pharmacology
|x Methods
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| 650 |
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0 |
|a Research Design
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| 650 |
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0 |
|a Statistics as Topic
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| 999 |
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|a 1000166537
|b Book
|c OPEN SHELF (30 DAYS)
|e Tembila Campus
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