{smcl} {* 26may2003}{...} {hline} help for {cmd:mitestparm}{right:(SJ3-3: st0000)} {hline} {title:Perform multivariate Wald test on multiply imputed datasets} {p 8 27 2} {cmd: mitestparm} {it: varlist} {title:Description} {p 4 4 2} {cmd:mitestparm} is the {hi:mi} version of the post-estimation command {help testparm}. It obtains an approximate {it:F}-test to test the hypothesis that the specified coefficients are all equal to zero, analogous to the standard Wald test. The {cmd:testparm} options {hi:equal} and {hi:equation} have not yet been implemented. {title:Remarks} {p 4 4 2} {cmd: mitestparm} is one of the suite of {hi:mi} commands. Since {cmd:mitestparm} applies only to datasets that have been created by {help miset} and estimates that have been obtained using {help mifit}, it can only be issued after {help miset} and {help mifit}. {title:Examples} {p 4 8 2}{cmd:. mifit: xi: logistic alcdhi i.wave i.smk i.ciscat}{p_end} {p 4 8 2}{cmd:. mitestparm _Iwave*} {title:Authors} {p 4 4 2} Philip Greenwood and John Carlin, Clinical Epidemiology & Biostatistics Unit, Murdoch Research Institute and University of Melbourne. Email: {browse "mailto:jbcarlin@unimelb.edu.au":jbcarlin@unimelb.edu.au} {title:References} {p 4 8 2} Li, K., T. Raghunathan, and D. Rubin. 1991. {it:Analysis of Incomplete Multivariate Data}. London: Chapman & Hall. {title:Also see} {p 4 14 2} Online: help for {help miset}, {help miappend}, {help mimerge}, {help misave}, {help mici}, {help mifit}, {help milincom}, {help mireset}{p_end}