i found this example online, and i am having a hard time solving it. This is what i have so far:
data Dose;
input Patient Dosedate $9.;
cards;
001 01Jan2003
001 02Jan2003
002 15Mar2003
002 01Mar2003
003 01Mar2003
004 19Mar2003
run;
data AE;
input Patient AeStartDate $10. AeText $15.;
cards;
001 31Dec2002 Headache
001 02Jan2003 Blurry Vision
001 02Jan2003 Anxiety
002 02Mar2003 Migraine
002 01Mar2003 Constipation
002 15Mar2003 Athelete's Foot
003 02Apr2003 Depression
003 02Apr2003 Rash
run;
data Final4;
merge Dose(in=indemog)
Ae(in=invisit);
by patient;
if indemog=1 and invisit=1;
run;
Here is the original Data with the proposed Procedure below it. (All help is greatly appreciated)
Dose
001 | 01Jan2003 |
001 | 02Jan2003 |
002 | 15Mar2003 |
002 | 01Mar2003 |
003 | 01Apr2003 |
004 | 19Mar2003 |
AE
001 | 31Dec2002 | Headache |
001 | 02Jan2003 | Blurry Vision |
001 | 02Jan2003 | Anxiety |
002 | 02Mar2003 | Migraine |
002 | 01Mar2003 | Constipation |
002 | 15Mar2004 | Athlete’s Foot |
003 | 02Apr2003 | Depression |
003 | 02Apr2003 | Rash |
Final
001 | 01Jan2003 | 02Jan2003 | Blurry Vision |
001 | 01Jan2003 | 02Jan2003 | Anxiety |
002 | 01Mar2003 | 01Mar2003 | Constipation |
002 | 01Mar2003 | 02Mar2003 | Migraine |
003 | 01Apr2003 | 02Apr2003 | Depression |
003 | 01Apr2003 | 02Apr2003 | Rash |
Questions
(http://technico.qnownow.com/sas-project-2-clinical-trials-sas-technical-problem-solve-diy/)
If I understood what you mean.
data Dose; infile cards truncover; input patient $3. Dose_dt :date9.; format dose_dt date9.; cards; 001 01Jan2003 001 02Jan2003 002 15Mar2003 002 01Mar2003 003 01Apr2003 004 19Mar2003 ; data AE; infile cards truncover; input patient : $3. AE_dt :date9. Symptom &$20.; format ae_dt date9.; cards; 001 31Dec2002 Headache 001 02Jan2003 Blurry Vision 001 02Jan2003 Anxiety 002 02Mar2003 Migraine 002 01Mar2003 Constipation 002 15Mar2004 Athlete's Foot 003 02Apr2003 Depression 003 02Apr2003 Rash ; run; data temp_dose; set dose; _Dose_dt=Dose_dt; output; Dose_dt=Dose_dt+1;output; format _dose_dt date9.; run; proc sort data=temp_dose nodupkey;by patient Dose_dt;run; proc sort data=Ae ;by patient AE_dt ;run; data Final4; merge temp_dose(in=indemog rename=(Dose_dt=dt)) Ae(in=invisit rename=(AE_dt=dt)); by patient dt; if indemog=1 and invisit=1; run;
Xia Keshan
Message was edited by: xia keshan Fix some errors
Message was edited by: xia keshan
Proc SQL seems to be straightforward:
data Dose;
infile cards dlm='09'x;
input id $3. Dose_dt :date9.;
format dose_dt date9.;
cards;
001 01Jan2003
001 02Jan2003
002 15Mar2003
002 01Mar2003
003 01Apr2003
004 19Mar2003
;
data AE;
infile cards dlm='09'x;
input id $3. AE_dt :date9. Symptom :&$20.;
format ae_dt date9.;
cards;
001 31Dec2002 Headache
001 02Jan2003 Blurry Vision
001 02Jan2003 Anxiety
002 02Mar2003 Migraine
002 01Mar2003 Constipation
002 15Mar2004 Athlete’s Foot
003 02Apr2003 Depression
003 02Apr2003 Rash
;
proc sql;
select distinct a.id, dose_dt, ae_dt, symptom
from dose a, ae b
where a.id=b.id and ae_dt between dose_dt and dose_dt+1
group by a.id, ae_dt, symptom
having dose_dt=min(dose_dt)
order by a.id, ae_dt, symptom desc
;
quit;
If I understood what you mean.
data Dose; infile cards truncover; input patient $3. Dose_dt :date9.; format dose_dt date9.; cards; 001 01Jan2003 001 02Jan2003 002 15Mar2003 002 01Mar2003 003 01Apr2003 004 19Mar2003 ; data AE; infile cards truncover; input patient : $3. AE_dt :date9. Symptom &$20.; format ae_dt date9.; cards; 001 31Dec2002 Headache 001 02Jan2003 Blurry Vision 001 02Jan2003 Anxiety 002 02Mar2003 Migraine 002 01Mar2003 Constipation 002 15Mar2004 Athlete's Foot 003 02Apr2003 Depression 003 02Apr2003 Rash ; run; data temp_dose; set dose; _Dose_dt=Dose_dt; output; Dose_dt=Dose_dt+1;output; format _dose_dt date9.; run; proc sort data=temp_dose nodupkey;by patient Dose_dt;run; proc sort data=Ae ;by patient AE_dt ;run; data Final4; merge temp_dose(in=indemog rename=(Dose_dt=dt)) Ae(in=invisit rename=(AE_dt=dt)); by patient dt; if indemog=1 and invisit=1; run;
Xia Keshan
Message was edited by: xia keshan Fix some errors
Message was edited by: xia keshan
thank you both
Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.
Register today!Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.
Select SAS Training centers are offering in-person courses. View upcoming courses for: