conflict_disbayes: Conflict p-values

In disbayes: Bayesian Multi-State Modelling of Chronic Disease Burden Data

Conflict p-values

Description

A test of the hypothesis that the direct data on a disease outcome give the same information about that outcome as an indirect evidence synthesis obtained from a fitted disbayes model. The outcome may be annual incidence, mortality, remission probabilities, or prevalence.

Usage

conflict_disbayes(x, varname)

Arguments

x	A fitted disbayes model.
varname	Either inc, prev, mort or rem.

Details

Hierarchical models are not currently supported in this function.

Value

A data frame with columns indicating age, gender and area.

p1 is a "one-sided" p-value for the null hypothesis that r_{obs}=r_{fit} against the alternative that r_{obs} > r_{fit},

p2 is the two-sided p-value for the null hypothesis that r_{obs}=r_{fit} against the alternative that r_{obs} is not equal to r_{fit},

where r_{obs} is the rate informed only by direct data, and r_{fit} is the rate informed by evidence synthesis. Therefore if the evidence synthesis excludes the direct data, then these are interpreted as "conflict" p-values (see Presanis et al. 2013).

In each case, a small p-value favours the alternative hypothesis.

References

Presanis, A. M., Ohlssen, D., Spiegelhalter, D. J. and De Angelis, D. (2013) Conflict diagnostics in directed acyclic graphs, with applications in Bayesian evidence synthesis. Statistical Science, 28, 376-397.

disbayes documentation built on Sept. 10, 2023, 1:08 a.m.