Confidence intervals and statistical testing for ratio measures of percent change
نویسندگان
چکیده
منابع مشابه
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models
Fitting high-dimensional statistical models often requires the use of non-linear parameter estimation procedures. As a consequence, it is generally impossible to obtain an exact characterization of the probability distribution of the parameter estimates. This in turn implies that it is extremely challenging to quantify the uncertainty associated with a certain parameter estimate. Concretely, no...
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If you have just two discrete hypotheses, then a hypothesis test is simply an application of Bayes’ Theorem. You check to see whether your data can reasonably be explained by that boring old null hypothesis (conventionally called H0), or not. To test H0, you need to compare it to one other model. One never tests a hypothesis in isolation; it is tested against an alternative (typically called H1...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2012
ISSN: 0277-6715
DOI: 10.1002/sim.5340