921 to 930 of 932 Results
Adobe PDF - 197.8 KB -
MD5: 15f52ec80841f92953fa9714062d3179
Method report |
Adobe PDF - 231.0 KB -
MD5: dc2f74db2c300929a21aefeb4283d274
Description of derived variables |
ZIP Archive - 67.9 KB -
MD5: 1a52594ee812922055dc84ab0c6ffb5c
List of variables since 2004 (zipped Excel.xls) |
Adobe PDF - 64.1 KB -
MD5: 9d7ec13826df5176068a3fc133305f32
Links to methodological publications |
Adobe PDF - 498.3 KB -
MD5: 15d41f014e56591e33ab48084f2fa38d
Questionnaire |
Tabular Data - 206.3 KB - 3 Variables, 3523 Observations - UNF:6:gsnHHZUZdhxz+un7hpvDtQ==
Variable identifiers and descriptions - machine-readable |
Feb 19, 2019 -
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.
Adobe PDF - 769.0 KB -
MD5: 7ae8fd689ed4492e8bbf1a4e2c620f59
FACTAGE method report SAS-code |
Feb 19, 2019 -
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.
SAS Syntax - 18.3 KB -
MD5: d8e2d1d54896ba2abcc93ff34fdec3d9
Load macros in SAS |
Feb 19, 2019 -
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.
SAS Syntax - 4.4 KB -
MD5: 3210faebac1de916c4badd9c7bff8da3
SAS Application |
Feb 19, 2019 -
Editing EU-SILC UDB Longitudinal Data for Differential Mortality Analyses. SAS code and documentation.
R Syntax - 1.0 KB -
MD5: 77b7aea9eed0aee8e355375ed4ed2073
Exemplary analysis in R |