assess_efficacy

data

reference

<p>Credible interval (or say &lt;U+201C&gt;Bayesian confidence interval&lt;U+201D&gt;) of the mean
difference between two groups (treatment and reference) is used to assess the
efficacy. If 0 falls outside the interval, the drug was considered
significantly effective</p>

This is a shiny app used for the statistical classifying and analysing
pre-clinical tumour responses.

Bairu Zhang

INSPECTumours

IN-vivo reSPonsE Classification of Tumours

Olga Muraeva

Natasha Karp

assess_efficacy function

Credible interval (or say &lt;U+201C&gt;Bayesian confidence interval&lt;U+201D&gt;) of the mean
difference between two groups (treatment and reference) is used to assess the
efficacy. If 0 falls outside the interval, the drug was considered
significantly effective — assess_efficacy

Credible interval (or say &lt;U+201C&gt;Bayesian confidence interval&lt;U+201D&gt;) of the mean
difference between two groups (treatment and reference) is used to assess the
efficacy. If 0 falls outside the interval, the drug was considered
significantly effective

assess_efficacy: Credible interval (or say <U+201C>Bayesian confidence interval<U+201D>) of the mean difference between two groups (treatment and reference) is used to assess the efficacy. If 0 falls outside the interval, the drug was considered significantly effective

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Value