https://communities.sas.com/t5/Statistical-Procedures/weighing/m-p/12193#M168 My dataset looks something similar to this:<BR /> <BR /> id round log_exp timetask_1 ....... time_task_nth<BR /> 1 1 112 3 ....... 1<BR /> 1 2 90 0.5 ....... 5<BR /> .<BR /> .<BR /> .<BR /> nth 1 80 5 ....... 1<BR /> nth 2 100 0 ....... 3<BR /> nth 3 85 7 ....... 0<BR /> <BR /> I'd really appreciate any helps.<BR /> <BR /> Have a good day. Thu, 05 Nov 2009 01:45:37 GMT Miracle 2009-11-05T01:45:37Z https://communities.sas.com/t5/Statistical-Procedures/weighing/m-p/12192#M167 Hi everyone.<BR /> <BR /> I maybe asking a very easy question here but I have a dataset with<BR /> vary numbers of repeated A measurements for each individuals. During<BR /> each measuring round, each individuals would do more than one task for<BR /> a certain time. What would be the most appropriate way to analyze it<BR /> if my interest is to find out what task contributes to higher A<BR /> exposure and at the same time taking into account the correlation of<BR /> the repeated A measurements? I've been told to use weights but i don't<BR /> understand.<BR /> <BR /> Your help is greatly appreciated. Many thanks.<BR /> <BR /> Have a great day. Thu, 05 Nov 2009 01:34:48 GMT https://communities.sas.com/t5/Statistical-Procedures/weighing/m-p/12192#M167 Miracle 2009-11-05T01:34:48Z https://communities.sas.com/t5/Statistical-Procedures/weighing/m-p/12193#M168 My dataset looks something similar to this:<BR /> <BR /> id round log_exp timetask_1 ....... time_task_nth<BR /> 1 1 112 3 ....... 1<BR /> 1 2 90 0.5 ....... 5<BR /> .<BR /> .<BR /> .<BR /> nth 1 80 5 ....... 1<BR /> nth 2 100 0 ....... 3<BR /> nth 3 85 7 ....... 0<BR /> <BR /> I'd really appreciate any helps.<BR /> <BR /> Have a good day. Thu, 05 Nov 2009 01:45:37 GMT https://communities.sas.com/t5/Statistical-Procedures/weighing/m-p/12193#M168 Miracle 2009-11-05T01:45:37Z