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Calculate confidence intervals datasets created by miset

mici[, indiv]:varlist[inrange] [ifexp] [,level(#)binomialpoissonexposure(varname)]

Description

micicalculates confidence intervals separately for each of the miset datasets and calculates overall confidence intervals by Rubin's rule of combination.

Options

indivreports the confidence intervals from each of the individual miset datasets, as well as the overall confidence intervals. By default, only the overall confidence interval is displayed.

levelspecifies the desired level of significance in calculating the confidence intervals. The default is 95%.

binomialspecifies that each of the variables invarlisthas a binomial distribution, andmiciwill calculate the binomial standard error for each of the miset datasets and then calculate an overall confidence interval for the corresponding proportion using Rubin's combining rule. If any variable invarlistis not binary (value 0 or 1), an error message is given. Note that the "exact" binomial method is not used since it does not enable application of Rubin's rule.

poissonspecifies that the variables are Poisson-distributed counts. Poisson standard errors are calculated from individual miset datasets, and overall confidence intervals are computed using Rubin's rule.

exposure(varname)is used only withpoisson.varnamecontains the total exposure during which the number of events recorded invarlistwas observed.

Remarks

micican only be used after the multiple datasets have been declared by miset.

Examples

. mici:var1ifvar2==0, binomial. mici, indiv:var1

AuthorsNing Li, Philip Greenwood, and John Carlin, Clinical Epidemiology & Biostatistics Unit, Murdoch Children's Research Institute and University of Melbourne. Email jbcarlin@unimelb.edu.au

ReferencesRubin, D. B. 1987.

Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons.Schafer, J. L. 1997.

Analysis of Incomplete Multivariate Data. London: Chapman & Hall.

Also seeOnline: help for miappend, mimerge, misave, mido, mifit, milincom, mireset, miset