Read e-book online Statistical Thinking for Non-Statisticians in Drug PDF

By Richard Kay

ISBN-10: 0470319712

ISBN-13: 9780470319710

Concentrating on the pharmaceutical non-statistician operating inside a really strict regulatory surroundings, Statistical pondering for scientific Trials in Drug rules presents the techniques and statistical considering in the back of scientific reports with a right away connection to the regulatory setting in order that readers could be transparent the place the statistical method matches in with specifications. Pharmaceutical-related examples are used all through to set the knowledge in context. The ebook presents an in depth evaluation of the statistical features of the layout, behavior, research, and presentation of knowledge from scientific trials inside drug legislation.

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Drawing conclusions on the relative effectiveness of these treatments based solely in terms of the surrogate BMD would clearly be misleading. Treatment effects on surrogate endpoints therefore do not necessarily translate into treatment effects on clinical endpoints and the validity of the surrogate depends not only on the variable itself but also on the disease area and the mode of action of the treatment. Establishing new valid surrogates is very difficult. Fleming and DeMets conclude that surrogates are extremely valuable in phase II ‘proof of concept’ studies but they question their general use in phase III confirmatory trials.

In fact there is a very powerful theorem called the ‘Central Limit Theorem’, which looks at the behaviour of data and says that under certain general conditions data behave according to this distribution. 3. As a consequence of both the empirical evidence and the theoretical base we often assume that the data we are collecting have been drawn from a distribution with the normal shape; we assume that our data are normally distributed. One further point relating to the normal distribution in the population is that, because of the symmetry, the median and the mean take the same value.

A study by Jensen et al. (1989) in the measurement of post-operative pain showed that information relating to pain was best captured using an 11-point scoring scale (0,1, 2, ,10) – sometimes referred to as a Likert scale, or a verbal rating scale with five points; mild, discomforting, distressing, horrible, excruciating. In addition around 10 per cent of the patients were unable to understand the requirement for completion of the VAS for pain. These ordered categorical scales may well be as precise, or more precise than the VAS and at the same time prove to be more effective because patients understand them better.

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Statistical Thinking for Non-Statisticians in Drug Regulation by Richard Kay


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