Intraclass　correlation　models　with　missing　data　at　random　are　considered.　With　a　properly　reduced　model,　a　general　method,　which　allows　repeated　observations　with　missing　data　in　a　non-monotone　pattern,　is　proposed　to　construct　exact　test　statistics　and　simultaneous　confidence　intervals　for　linear　contrasts　in　the　means.　Simulation　results　are　given　to　compare　exact　and　asymptotic　simultaneous　confidence　intervals.　A　real　example　is　provided　for　the　illustration　of　the　proposed　method.　Published　by　Elsevier　Inc.