Pool analysis results obtained from the imputed datasets
pool(
results,
conf.level = 0.95,
alternative = c("two.sided", "less", "greater"),
type = c("percentile", "normal")
)# S3 method for pool
as.data.frame(x, ...)
# S3 method for pool
print(x, ...)
an analysis object created by analyse().
confidence level of the returned confidence interval. Must be a single number between 0 and 1. Default is 0.95.
a character string specifying the alternative hypothesis,
must be one of "two.sided" (default), "greater" or "less".
a character string of either "percentile" (default) or
"normal". Determines what method should be used to calculate the bootstrap confidence
intervals. See details.
Only used if method_condmean(type = "bootstrap") was specified
in the original call to draws().
a pool object generated by pool().
not used.
The calculation used to generate the point estimate, standard errors and
confidence interval depends upon the method specified in the original
call to draws(); In particular:
method_approxbayes() & method_bayes() both use Rubin's rules to pool estimates
and variances across multiple imputed datasets, and the Barnard-Rubin rule to pool
degree's of freedom; see Little & Rubin (2002).
method_condmean(type = "bootstrap") uses percentile or normal approximation;
see Efron & Tibshirani (1994). Note that for the percentile bootstrap, no standard error is
calculated, i.e. the standard errors will be NA in the object / data.frame.
method_condmean(type = "jackknife") uses the standard jackknife variance formula;
see Efron & Tibshirani (1994).
method_bmlmi uses pooling procedure for Bootstrapped Maximum Likelihood MI (BMLMI).
See Von Hippel & Bartlett (2021).
Bradley Efron and Robert J Tibshirani. An introduction to the bootstrap. CRC press, 1994. [Section 11]
Roderick J. A. Little and Donald B. Rubin. Statistical Analysis with Missing Data, Second Edition. John Wiley & Sons, Hoboken, New Jersey, 2002. [Section 5.4]
Von Hippel, Paul T and Bartlett, Jonathan W. Maximum likelihood multiple imputation: Faster imputations and consistent standard errors without posterior draws. 2021.