![]() So the dataset ends up with only two records. From the classroom to the boardroom, WRDS is more than just a data platform. ** Notice that at iteration 4, it's comparing records 4 to 4, not 3 to 4, as we humans would do. Wharton Research Data Services - The Global Standard for Business Research. Before you can perform a match-merge, all data sets must be sorted by the variables that you want to use for the merge. Here's what I think SAS does conceptually with your program and my attempt: Merging with a BY statement enables you to match observations according to the values of the BY variables that you specify. Apparently, when you're merging by ID only, SAS ignores all other fields and merges one by one in sequence. Jymm, your solution seems to have the same problem as my first attempt. Th ose datasets will need to be merged together to create a full picture of the intervention implemented across the course of the study for individual participants. The bad news is that I tried jymm's solution and- no dice. The good news is that I tried teralearner's solution and it worked beautifully. merge in SAS is actually somewhat simpler than join in SQL, in particular as the syntax is simpler, so its somewhat different than the SQL case. One attempt didn’t work- I tried to sort HOSP by “ID” and “start” and EVENT by “ID” and “date”, then merge by ID only (since the dates won’t necessarily be an exact match).Īny thoughts? Thanks! RE: Merge by date range, not exact date teralearner (TechnicalUser) 29 Apr 03 22:05 Theres no functional reason why not, in any event. Merging with a BY statement enables you to match observations according to the values of the BY variables that you specify. So I want my output to have 5 records, merging (A) in HOSP with each (A) in EVENT, (B) with (B) and (C) with (C). The MERGE statement contains at least two obligatory arguments, namely the SAS tables you want to join. How can I merge these two so that I get a match whenever a procedure was done during a matching hospitalization? The problem is that the data in EVENT may not exactly match any field in HOSP. ![]() I have one dataset (HOSP) with hospitalization data and another (EVENT) with procedure data. Understanding the MERGE Statement You merge data sets using the MERGE statement in a DATA step.
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