Hello, good afternoon, greetings to all
I have this repeated measures data set.
I need to mark the patients that meet the condition that the value in both variables is 1.
Thank you so much !
clear
input str9 id float(date previous_date) byte(nlest2 spinal_cord)
"10005472" 19015 . 1 1
"10020170" 18590 . 1 1
"10020170" 20368 18590 1 1
"10020777" 17855 . 1 1
"10020777" 17981 . 1 1
"10067748" 21962 21833 10 3
"10087618" 14741 . 7 1
"10087618" 16579 14741 10 1
"10203595" 17774 . 10 3
"10239623" 17821 17465 10 2
"10269479" 14347 . 10 2
"10269479" 16198 14347 10 1
"10269479" 18002 16198 10 1
"10269479" 19820 18002 10 1
"10269479" 23147 20859 10 3
"10309749" 20830 . 3 1
"10329252" 22027 . 10 1
"10369688" 18241 . 10 1
"10427832" 17974 . 9 1
"10430583" 17960 . 10 1
"10443903" 20557 20457 2 1
"10443903" 20557 . 2 1
"10446691" 13724 . 10 1
"10446691" 15585 13724 10 1
"10446691" 17227 15585 10 1
"10446691" 20914 20130 10 4
"10455777" 17231 . 5 2
"10461822" 20486 19013 1 1
"10490935" 13986 . 10 1
"10525421" 23056 22678 10 4
"10541670" 17353 16381 10 2
"10543947" 14221 . 10 1
"10543947" 15608 14221 10 1
"10543947" 17386 15608 10 1
"10544296" 18172 . 1 1
"10552683" 22132 . 10 2
"10552683" 22316 22132 10 2
"10552683" 22698 22316 10 3
"10552683" 23051 22698 10 3
"10582578" 20025 19096 10 4
"10660897" 18110 . 6 1
"10715060" 14663 . 7 1
"10715060" 15016 14663 7 1
"10715060" 16933 15016 10 1
"10718399" 22999 22590 10 1
"10739912" 13859 . 2 1
"10739912" 15679 14220 2 1
"10739912" 17513 15679 2 1
"10833536" 21881 21546 1 1
"10836550" 13781 . 8 2
"10836550" 14140 13781 9 1
"10836550" 15602 14140 10 1
"10836550" 15602 17793 10 1
"10836550" 17386 15602 10 1
"10836550" 22342 21115 10 3
"10836550" 22828 22342 10 3
"10844214" 23095 22679 10 4
"10863990" 18744 . 1 2
"10863990" 19094 19110 1 1
"10875123" 14910 . 10 1
"10875123" 15273 14910 10 1
"10875123" 16729 15273 10 1
"10875123" 18588 16729 10 1
"10909624" 20032 . 10 4
"10913259" 21579 . 10 3
"10939789" 18084 . 10 2
"10939789" 18158 18074 10 1
"10939789" 18158 . 10 1
"10960628" 13107 . 9 1
"10981293" 12849 . 10 1
"10981293" 13566 12849 10 1
"10981293" 15124 13566 10 1
"10981293" 17345 15124 10 2
"109834" 13048 . 1 1
"109834" 13339 13048 1 1
"109834" 16624 13339 1 1
"11042733" 19850 . 1 1
"11042733" 20123 19850 1 1
"11081919" 22913 22745 10 1
"11081919" 23085 22913 10 1
"11091023" 22377 21508 10 4
"11091023" 23126 22377 10 4
"11097546" 19148 . 5 1
"11140827" 18191 18093 1 2
"11140827" 18191 . 1 2
"11140827" 22039 21676 6 1
"11148755" 22846 . 10 2
"11337630" 19997 . 10 4
"11376065" 17804 . 1 1
"11376065" 19859 18052 1 1
"11381717" 14216 . 1 1
"11381717" 14606 14216 1 1
"11381717" 16160 14606 1 1
"11381717" 17845 16160 1 1
"11391472" 14500 . 6 1
"11391472" 14871 14500 7 1
"11391472" 16365 14871 7 1
"11391472" 18149 16365 7 1
"11391472" 19979 18149 10 1
"11414155" 13283 . 8 1
end
format %dD_m_CY date
format %dD_m_CY previous_date
[/CODE]
I have this repeated measures data set.
I need to mark the patients that meet the condition that the value in both variables is 1.
Thank you so much !
clear
input str9 id float(date previous_date) byte(nlest2 spinal_cord)
"10005472" 19015 . 1 1
"10020170" 18590 . 1 1
"10020170" 20368 18590 1 1
"10020777" 17855 . 1 1
"10020777" 17981 . 1 1
"10067748" 21962 21833 10 3
"10087618" 14741 . 7 1
"10087618" 16579 14741 10 1
"10203595" 17774 . 10 3
"10239623" 17821 17465 10 2
"10269479" 14347 . 10 2
"10269479" 16198 14347 10 1
"10269479" 18002 16198 10 1
"10269479" 19820 18002 10 1
"10269479" 23147 20859 10 3
"10309749" 20830 . 3 1
"10329252" 22027 . 10 1
"10369688" 18241 . 10 1
"10427832" 17974 . 9 1
"10430583" 17960 . 10 1
"10443903" 20557 20457 2 1
"10443903" 20557 . 2 1
"10446691" 13724 . 10 1
"10446691" 15585 13724 10 1
"10446691" 17227 15585 10 1
"10446691" 20914 20130 10 4
"10455777" 17231 . 5 2
"10461822" 20486 19013 1 1
"10490935" 13986 . 10 1
"10525421" 23056 22678 10 4
"10541670" 17353 16381 10 2
"10543947" 14221 . 10 1
"10543947" 15608 14221 10 1
"10543947" 17386 15608 10 1
"10544296" 18172 . 1 1
"10552683" 22132 . 10 2
"10552683" 22316 22132 10 2
"10552683" 22698 22316 10 3
"10552683" 23051 22698 10 3
"10582578" 20025 19096 10 4
"10660897" 18110 . 6 1
"10715060" 14663 . 7 1
"10715060" 15016 14663 7 1
"10715060" 16933 15016 10 1
"10718399" 22999 22590 10 1
"10739912" 13859 . 2 1
"10739912" 15679 14220 2 1
"10739912" 17513 15679 2 1
"10833536" 21881 21546 1 1
"10836550" 13781 . 8 2
"10836550" 14140 13781 9 1
"10836550" 15602 14140 10 1
"10836550" 15602 17793 10 1
"10836550" 17386 15602 10 1
"10836550" 22342 21115 10 3
"10836550" 22828 22342 10 3
"10844214" 23095 22679 10 4
"10863990" 18744 . 1 2
"10863990" 19094 19110 1 1
"10875123" 14910 . 10 1
"10875123" 15273 14910 10 1
"10875123" 16729 15273 10 1
"10875123" 18588 16729 10 1
"10909624" 20032 . 10 4
"10913259" 21579 . 10 3
"10939789" 18084 . 10 2
"10939789" 18158 18074 10 1
"10939789" 18158 . 10 1
"10960628" 13107 . 9 1
"10981293" 12849 . 10 1
"10981293" 13566 12849 10 1
"10981293" 15124 13566 10 1
"10981293" 17345 15124 10 2
"109834" 13048 . 1 1
"109834" 13339 13048 1 1
"109834" 16624 13339 1 1
"11042733" 19850 . 1 1
"11042733" 20123 19850 1 1
"11081919" 22913 22745 10 1
"11081919" 23085 22913 10 1
"11091023" 22377 21508 10 4
"11091023" 23126 22377 10 4
"11097546" 19148 . 5 1
"11140827" 18191 18093 1 2
"11140827" 18191 . 1 2
"11140827" 22039 21676 6 1
"11148755" 22846 . 10 2
"11337630" 19997 . 10 4
"11376065" 17804 . 1 1
"11376065" 19859 18052 1 1
"11381717" 14216 . 1 1
"11381717" 14606 14216 1 1
"11381717" 16160 14606 1 1
"11381717" 17845 16160 1 1
"11391472" 14500 . 6 1
"11391472" 14871 14500 7 1
"11391472" 16365 14871 7 1
"11391472" 18149 16365 7 1
"11391472" 19979 18149 10 1
"11414155" 13283 . 8 1
end
format %dD_m_CY date
format %dD_m_CY previous_date
[/CODE]
Comment