Download Pharmaceutical Statistics: Practical and Clinical by Sanford Bolton, Charles Bon PDF

By Sanford Bolton, Charles Bon

The insurance progresses from simple definitions and ideas, facts pix, and chance via ANOVA, factorial designs, and optimization thoughts. The dialogue and examples were increased to incorporate GMPs, validation, and quality controls, in addition to systems and analyses in bioequivalence reviews. The textual content provides clean fabric on thought conformity and unlock pursuits and describes linear regression and correlation, the research of variance, and crossover designs.

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Extra info for Pharmaceutical Statistics: Practical and Clinical Applications, Revised and Expanded

Example text

If the two terms, ⌺ X2 and (⌺ X)2/N, are very similar in magnitude, rounding off before taking their difference may result in a zero or negative difference. 21. 01. Computers and calculators carry many digits when performing calculations and do not round off further unless instructed to do so. These instruments retain as many digits as their capacity permits through all arithmetic computations. The possibility of rounding off, even considering the large capacity of modern computers, can cause unexpected problems in sophisticated statistical calculations, and must be taken into account in preparing statistical software programs.

An accurate measurement, no matter what the precision, can be thought of as unbiased, because an accurate measurement is a ‘‘fair’’ estimate of the true result. A biased estimate is systematically either higher or lower than the true value. A biased estimate can be thought of as giving an ‘‘unfair’’ notion of the true value. For example, when estimating the average result of experimental data, the mean, X¯, represents an estimate of the true population parameter, ␮, and in this sense is considered accurate and unbiased.

We choose 10 different tablets at each sampling. 2. The balance (and our ability to read it) is not exactly reproducible from one weighing to another. An important part of the statistical process is the characterization of a population by estimating its parameters. The parameters can be estimated by evaluating suitable sample statistics. The reader will probably have little trouble in understanding that the average 12 Chapter 1 weight of a sample of tablets (a sample statistic) estimates the true mean weight (a parameter) of the batch.

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