Table 6: Demographic details of experts review (Focus Group).
No. |
Gender |
Age (Year) |
Education |
Field of Expertise |
Experience (Year) |
1. |
FeMale |
47 |
PhD in Statistics |
Biostatistics |
16 |
2. |
Male |
50 |
PhD in Data Science |
Data Analysis |
17 |
3. |
FeMale |
49 |
PhD in Statistics |
Biostatistics |
20 |
4. |
Male |
52 |
PhD in Data Science |
Data Analysis |
19 |
5. |
FeMale |
49 |
PhD in Statistics |
Biostatistics |
20 |
6. |
FeMale |
50 |
PhD in Statistics |
Biostatistics |
21 |
7. |
FeMale |
48 |
PhD in Statistics |
Data Analysis |
23 |
8. |
FeMale |
55 |
PhD in Statistics |
Biostatistics |
24 |
9. |
FeMale |
50 |
PhD in Bioinformatics |
Bioinformatics |
18 |
10. |
FeMale |
51 |
PhD in Statistics |
Data Analysis |
20 |
11. |
FeMale |
57 |
PhD in Statistics |
Biostatistics |
19 |
12. |
FeMale |
53 |
PhD in Bioinformatics |
Bioinformatics |
17 |
13. |
FeMale |
50 |
PhD in Bioinformatics |
Bioinformatics |
21 |
14. |
FeMale |
57 |
PhD in Data Science |
Biostatistics |
19 |
15. |
FeMale |
53 |
PhD in Data Science |
Biostatistics |
17 |
16. |
FeMale |
50 |
PhD in Bioinformatics |
Bioinformatics |
21 |
17. |
FeMale |
57 |
PhD in Bioinformatics |
Bioinformatics |
19 |
18. |
FeMale |
59 |
PhD in Statistics |
Biostatistics |
24 |
19. |
FeMale |
53 |
PhD in Data Science |
Biostatistics |
17 |
20. |
FeMale |
50 |
PhD in Statistics |
Biostatistics |
21 |