Hello,

I have a set of population with multiple risk factors:

- Every population member can have a combination of 30 different risk factors.

- Every risk factor can have a score from 0 to 10 depending on population members' characteristic.

- So for example,

-Member-1 can have 4 risk factors with risk scores as (8,3,6,4),

- Member-2 can have only 2 risk factors with risk scores (9,10),

- Member-3 can have 6 risk factors with risk scores as (4,3,3,4,3,4)

Question: I want to find an "Overall risk value" for each population member in a scale from 0 to 10 depending on their risk depending on their risk scores and amount of risk scores. So the population member with high risk will be placed close to 10, low risk member will be placed closed to 0. What is the best method for it?

Tricky part: If I compare the aggregated risk score of each population member with each other, then for example Member-2 has aggregated score as (9+10=19), and Member-3 has aggregated score as (4+3+3+4+3+4 = 21).

Even if 21 is greater than 19, the particular risk scores in Member-2 are very high compares to Member-3.

So somehow I want to have a more balanced solution. Both "number of scores" and the "size of the particular risk scores" will matter in the result.

Thanks in advance

I have a set of population with multiple risk factors:

- Every population member can have a combination of 30 different risk factors.

- Every risk factor can have a score from 0 to 10 depending on population members' characteristic.

- So for example,

-Member-1 can have 4 risk factors with risk scores as (8,3,6,4),

- Member-2 can have only 2 risk factors with risk scores (9,10),

- Member-3 can have 6 risk factors with risk scores as (4,3,3,4,3,4)

Question: I want to find an "Overall risk value" for each population member in a scale from 0 to 10 depending on their risk depending on their risk scores and amount of risk scores. So the population member with high risk will be placed close to 10, low risk member will be placed closed to 0. What is the best method for it?

Tricky part: If I compare the aggregated risk score of each population member with each other, then for example Member-2 has aggregated score as (9+10=19), and Member-3 has aggregated score as (4+3+3+4+3+4 = 21).

Even if 21 is greater than 19, the particular risk scores in Member-2 are very high compares to Member-3.

So somehow I want to have a more balanced solution. Both "number of scores" and the "size of the particular risk scores" will matter in the result.

Thanks in advance

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