pool_propdiff_ac function

Calculates the pooled difference between proportions and standard error according to Agresti-Caffo across multiply imputed datasets.

pool_propdiff_ac Calculates the pooled difference between proportions and standard error according to Agresti-Caffo across multiply imputed datasets.

pool_propdiff_ac(object, conf.level = 0.95, dfcom = NULL)

Arguments

• object: An object of class 'mistats' ('Multiply Imputed Statistical Analysis').
• conf.level: Confidence level of the confidence intervals.
• dfcom: Complete data degrees of freedom. Default number is taken from function propdiff_ac

Returns

The proportion, the Confidence intervals, the standard error and statistic.

Details

For the pooled difference between proportions the difference between proportions according to Wald are used. The Agresti-Caffo difference is used to derive the Agresti-Caffo confidence intervals.

Examples

imp_dat <- df2milist(lbpmilr, impvar="Impnr")
ra <- with(imp_dat, expr=propdiff_ac(Chronic ~ Radiation))
res <- pool_propdiff_ac(ra)
res

References

Agresti, A. and Caffo, B. Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures. The American Statistician. 2000;54:280-288.

Fagerland MW, Lydersen S, Laake P. Recommended confidence intervals for two independent binomial proportions. Stat Methods Med Res. 2015 Apr;24(2):224-54.

See Also

with.milist, propdiff_ac

Author(s)

Martijn Heymans, 2021