A Interpreting QA MIL Package output

The QA MIL Package output datasets l3_mil_aggregate and l3_mil_aggregate_deliv are large files containing multiple levels corresponding to different combinations of stratifying variables. Sections A.1 and A.2 are intended to help users navigate these datasets.

Please note that the unit of analysis for each dataset is slightly different. The unit of analysis for the l3_mil_aggregate is each row in the MIL table, while the unit of analysis for the l3_mil_aggregate_deliv table is deliveries only.

A.1 l3_mil_aggregate Level References

The QA MIL Package’s l3_mil_aggregate output dataset contains 1023 levels corresponding to different combinations of stratifying variables. Table A.1 functions as a reference for users seeking a specific variable combination.

Table A.1: l3_mil_aggregate levels with one stratifying variable
Level Number Level Description Overall MatchMethod DaysDiff sex EncType AgeGroup ICD_Ver YearMonth Year Birth_Type LinkageStatus
000 Overall X
001 MatchMethod X
002 DaysDiff X
004 sex X
008 EncType X
016 AgeGroup X
032 ICD_Ver X
064 YearMonth X
128 Year X
256 Birth_Type X
512 LinkageStatus X

To find the level number for a multiple variable stratification, users should add the level numbers for each variable of interest in Table A.1 together—e.g., the level number for Year is 64 and the Level for YearMonth is 128. The resulting level number for the datasets stratified by Year YearMonth is 192. Similarly, to stratify by Sex, AgeGroup, and MatchMethod, users should add 004 + 016 + 001 together to get 021. Table A.2 demonstrates this principle:

Table A.2: Example l3_mil_aggregate levels with two stratifying variables
Level Number Level Description Overall MatchMethod DaysDiff sex EncType AgeGroup ICD_Ver YearMonth Year Birth_Type LinkageStatus
021 AgeGroup sex MatchMethod X X X
192 Year YearMonth X X

A.2 l3_mil_aggregate_deliv Level References

The QA MIL Package’s l3_mil_aggregate_deliv output dataset contains 255 levels corresponding to different combinations of stratifying variables. The Table A.3 functions as a reference for users seeking to stratify this table by a single variable.

Table A.3: l3_mil_aggregate_deliv levels with one stratifying variable
Level Number Level Description Overall MatchMethod DaysDiff sex EncType AgeGroup ICD_Ver YearMonth Birth_Type LinkageStatus Year
000 Overall X
001 InfantsLinked X
002 EncType X
004 AgeGroup X
008 ICD_Ver X
016 YearMonth X
032 Year X
064 Birth_Type X
128 LinkageStatus X

To find the level number for a multiple variable stratification, users should add the level numbers for each variable of interest in Table A.3 together—e.g., the level number for Year is 016 and the Level for BirthType is 064. The resulting level number for the datasets stratified by Year BirthType is 080. Similarly, to stratify by InfantsLinked, EncType, and AgeGroup users should add 001 + 002 + 004 together to get 007. Table A.4 demonstrates this principle:

Table A.4: l3_mil_aggregate_deliv levels with one stratifying variable
Level Number Level Description Overall MatchMethod DaysDiff sex EncType AgeGroup ICD_Ver YearMonth Birth_Type LinkageStatus Year
007 EncType AgeGroup InfantsLinked X X X
016 YearMonth X