BookmarkSubscribeRSS Feed
☑ This topic is solved. Need further help from the community? Please sign in and ask a new question.
Stanley3
Obsidian | Level 7

Hi,

I have a dataset with multiple timepoint measurements for the same ID. For each unique ID, I need to keep only the earliest observation and delete the rest. How can I code this?

 

Additionally, using the example below, how can I fill in the missing value for the 'sex' variable at timepoint 1 with the value from timepoint 2?

 

Thank you!

 

IDTimepointSex
00011 
00012Female
00013Female
00022Male
00023Male
00032Male
0003Male

 

1 ACCEPTED SOLUTION

Accepted Solutions
PaigeMiller
Diamond | Level 26

@Stanley3 wrote:

 

I have a dataset with multiple timepoint measurements for the same ID. For each unique ID, I need to keep only the earliest observation and delete the rest. How can I code this?


data want;
    set have;
    by id;
    if first.id;
run;

 

Additionally, using the example below, how can I fill in the missing value for the 'sex' variable at timepoint 1 with the value from timepoint 2?

 

See Look Ahead and Look Back

--
Paige Miller

View solution in original post

2 REPLIES 2
PaigeMiller
Diamond | Level 26

@Stanley3 wrote:

 

I have a dataset with multiple timepoint measurements for the same ID. For each unique ID, I need to keep only the earliest observation and delete the rest. How can I code this?


data want;
    set have;
    by id;
    if first.id;
run;

 

Additionally, using the example below, how can I fill in the missing value for the 'sex' variable at timepoint 1 with the value from timepoint 2?

 

See Look Ahead and Look Back

--
Paige Miller
Stanley3
Obsidian | Level 7
Brilliant, thank you so much!

hackathon24-white-horiz.png

2025 SAS Hackathon: There is still time!

Good news: We've extended SAS Hackathon registration until Sept. 12, so you still have time to be part of our biggest event yet – our five-year anniversary!

Register Now

Mastering the WHERE Clause in PROC SQL

SAS' Charu Shankar shares her PROC SQL expertise by showing you how to master the WHERE clause using real winter weather data.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 2 replies
  • 1096 views
  • 0 likes
  • 2 in conversation