estimate_posterior_nominator {bpp}

Posterior density conditional on interim result is proportional to the value of this function

Description

If we update the prior with a known estimate at an interim analysis, we get a density that is proportional to the value of this function.

Usage

estimate_posterior_nominator(x, prior = c("normal", "flat"), interimmean, 
                                    interimSE, priormean, ...)

Arguments

x

Value at which to evaluate the function.

prior

Prior density on effect sizes.

interimmean

Mean of the data.

interimSE

(Known) standard error of interimmean.

priormean

Prior mean.

...

Further arguments specific to the chosen prior (see bpp for examples).

Value

Value of the function, a real number.

Author(s)

Kaspar Rufibach (maintainer)
[e-mail]

References

Rufibach, K., Jordan, P., Abt, M. (2016a). Sequentially Updating the Likelihood of Success of a Phase 3 Pivotal Time-to-Event Trial based on Interim Analyses or External Information. J. Biopharm. Stat., 26(2), 191–201.

Examples

# type ?bpp_1interim for code of all the computations in Rufibach et al (2016a).