Absence Data Quality
Absence Data Quality is a construct that denotes the degree to which recorded absenteeism data conforms to essential criteria such as accuracy, completeness, consistency, timeliness, and validity, thereby enabling reliable analysis and decision-making within the context of absenteeism surveillance.
12
Publications
2.7K
Citations
33
Authors
22
Institutions
Publications per year
2017–2026
3
Parents
12
1–5 of 12
33
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 33
22
Université Claude Bernard Lyon 1
Villeurbanne, France
2 h-index
2 publications
1.6K citations
Laboratoire de Biométrie et Biologie Evolutive
Villeurbanne, France
2 h-index
2 publications
1.6K citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
1.6K citations
University of Lausanne
Lausanne, Switzerland
2 h-index
6 publications
4.7K citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
1 h-index
4 publications
820 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
205 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
222 citations
University of California, Merced
Merced, United States
1 h-index
1 publications
44 citations
1–8 of 22
2 publications · 274 citations
2
h-index
2 publications · 1.6K citations
2
h-index
1 publications · 131 citations
1
h-index
1 publications · 205 citations
1
h-index
1 publications · 270 citations
1
h-index
1–5