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 |