{smcl} {* 18sep2002}{...} {hline} help for {cmd: mici}{right:(SJ3-3: st0000)} {hline} {title:Calculate confidence intervals datasets created by miset} {p 8 27 2} {cmd:mici} [{cmd:, indiv}] {cmd::} {it:varlist} [{cmd:in} {it:range}] [{cmd:if} {it:exp}] [{cmd:,} {cmdab:l:evel(}{it:#}{cmd:)} {cmdab:b:inomial} {cmdab:p:oisson} {cmdab:e:xposure(}{it:varname}{cmd:)}] {title:Description} {p 4 4 2} {cmd:mici} calculates confidence intervals separately for each of the {help miset} datasets and calculates overall confidence intervals by Rubin's rule of combination. {title:Options} {p 4 8 2} {cmd:indiv} reports the confidence intervals from each of the individual {help miset} datasets, as well as the overall confidence intervals. By default, only the overall confidence interval is displayed. {p 4 8 2} {cmd:level} specifies the desired level of significance in calculating the confidence intervals. The default is 95%. {p 4 8 2} {cmd:binomial} specifies that each of the variables in {it:varlist} has a binomial distribution, and {cmd:mici} will calculate the binomial standard error for each of the {help miset} datasets and then calculate an overall confidence interval for the corresponding proportion using Rubin's combining rule. If any variable in {it:varlist} is 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. {p 4 8 2} {cmd:poisson} specifies that the variables are Poisson-distributed counts. Poisson standard errors are calculated from individual {help miset} datasets, and overall confidence intervals are computed using Rubin's rule. {p 4 8 2} {cmd:exposure(}{it:varname}{cmd:)} is used only with {cmd:poisson}. {it:varname} contains the total exposure during which the number of events recorded in {it:varlist} was observed. {title:Remarks} {p 4 4 2} {cmd:mici} can only be used after the multiple datasets have been declared by {help miset}. {title:Examples} {p 4 8 2}{cmd:. mici: {it:var1} if {it:var2}==0, binomial}{p_end} {p 4 8 2}{cmd:. mici, indiv: {it:var1}} {title:Authors} {p 4 4 2} Ning Li, Philip Greenwood, and John Carlin, Clinical Epidemiology & Biostatistics Unit, Murdoch Children's Research Institute and University of Melbourne. Email {browse "mailto:jbcarlin@unimelb.edu.au":jbcarlin@unimelb.edu.au} {title:References} {p 4 8 2} Rubin, D. B. 1987. {it:Multiple Imputation for Nonresponse in Surveys}. New York: John Wiley & Sons. {p 4 8 2} Schafer, J. L. 1997. {it:Analysis of Incomplete Multivariate Data}. London: Chapman & Hall. {title:Also see} {p 4 14 2} Online: help for {help miappend}, {help mimerge}, {help misave}, {help mido}, {help mifit}, {help milincom}, {help mireset}, {help miset}{p_end}