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  • November 22, 2020Guidelines

    What is the difference between interaction and confounding?

    What is the difference between interaction and confounding? A confounding variable is a factor associated with both the exposure of interest and the outcome of…

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  • November 22, 2020Helpful tips

    What if I accept my null hypothesis?

    What if I accept my null hypothesis? Accepting the null hypothesis would indicate that you’ve proven an effect doesn’t exist. As you’ve seen, that’s not…

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  • November 22, 2020Helpful tips

    What assumptions are made for confidence interval?

    What assumptions are made for confidence interval? The confidence interval of the mean of a measurement variable is commonly estimated on the assumption that the…

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  • November 22, 2020Miscellaneous

    Why are composite outcomes used?

    Why are composite outcomes used? Why use composite outcomes in clinical trials? The main advantage of this approach is increased statistical efficiency. By measuring more…

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  • November 22, 2020Helpful tips

    What is a good sample size for research?

    What is a good sample size for research? A good maximum sample size is usually 10% as long as it does not exceed 1000. A…

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  • November 22, 2020Helpful tips

    How do you display ranked data?

    How do you display ranked data? The simplest way to show ranking data is through a column or bar chart, ordered by frequency from greatest…

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  • November 22, 2020Blog

    Is standard error a covariance?

    Is standard error a covariance? 1 Answer. Yes, the diagonal elements of the covariance matrix are the variances. The square root of these variances are…

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  • November 22, 2020Blog

    How do you find the point estimate of a proportion?

    How do you find the point estimate of a proportion? Formula Review. p′ = x / n where x represents the number of successes and…

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  • November 22, 2020Helpful tips

    What are the assumptions in the causalimpact package?

    What are the assumptions in the causalimpact package? The CausalImpact package, in particular, assumes that the outcome time series can be explained in terms of…

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  • November 22, 2020Guidelines

    Which is the best way to extend Gibbs sampling?

    Which is the best way to extend Gibbs sampling? It is also possible to extend Gibbs sampling in various ways. For example, in the case…

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