眉毛
发表于 2025-3-25 04:02:46
Multiple Statistical Inferences,ssment of such questions introduces the statistical problem of multiple comparison and multiple testing, which increases the risk of false positive statistical results, and thus increases the type-I error risk. In this chapter simple methods are discussed which can help to control this risk.
妈妈不开心
发表于 2025-3-25 10:53:21
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轻率的你
发表于 2025-3-25 15:10:27
Hypotheses, Data, Stratification,ded into IV phases (from phase I for initial testing to phase IV after release for general use), but scientific rules governing different phases are very much the same, and can thus be discussed simultaneously.
interpose
发表于 2025-3-25 16:14:05
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不怕任性
发表于 2025-3-25 21:23:41
The Interpretation of the P-Values,control of 0.000 is hardly compatible with random sampling. As it comes to well-balanced random sampling of representative experimental data, nature will be helpful to provide researchers with results close to perfection.
邪恶的你
发表于 2025-3-26 00:25:51
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责问
发表于 2025-3-26 05:24:25
The Analysis of Efficacy Data of Drug Trials,e the following statistical techniques:.Comparing proportions of responders or proportions of survivors or patients with no events involves binomial rather than normal distributions and requires a completely different approach. It requires a chi-square test, or a more complex technique otherwise clo
联想记忆
发表于 2025-3-26 08:58:37
Equivalence Testing,simply because the sample size is too small. Equivalence testing is particularly important for studying the treatment of diseases for which a placebo control would unethical. In the situation a new treatment must be compared with standard treatment. The latter comparison is at risk of finding little
dissolution
发表于 2025-3-26 14:51:55
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Fibrillation
发表于 2025-3-26 20:34:22
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