About creating pseudo-levels
Posted: Mon Jun 12, 2023 11:37 am
I've got a question that I think it may be a too noob one, but I'm more or less new in the world of multilevel analysis.
I have data about cases of a disease that include sex, age and small area code. I also have date at small area level including socio-economic index, and population by sex and by age groups. I was trying to estimate a multilevel logistic regression model based on proportion (assuming binomial distribution). The question is wether I can, and how, introduce pseudo-levels in order to adjust for age and sex.
I think it may be like this:
I use the data that is registered as "women younger than 16", "women between 16-64", and son on, to set denominators. So, I get age group and sex specific denominators for the level 1 units. Each level 1 unit is included then in a pseudo unit for level 2. The codes for level 1 and level 2 are the same. Then, I include level 2 units in level 3 units that are the small area, so every small area will have 6 units (2 sexes * 3 age groups). Then I can include sex and age group confounders (as level 2 variables).
Is this correct?
Thanks in advance
I have data about cases of a disease that include sex, age and small area code. I also have date at small area level including socio-economic index, and population by sex and by age groups. I was trying to estimate a multilevel logistic regression model based on proportion (assuming binomial distribution). The question is wether I can, and how, introduce pseudo-levels in order to adjust for age and sex.
I think it may be like this:
I use the data that is registered as "women younger than 16", "women between 16-64", and son on, to set denominators. So, I get age group and sex specific denominators for the level 1 units. Each level 1 unit is included then in a pseudo unit for level 2. The codes for level 1 and level 2 are the same. Then, I include level 2 units in level 3 units that are the small area, so every small area will have 6 units (2 sexes * 3 age groups). Then I can include sex and age group confounders (as level 2 variables).
Is this correct?
Thanks in advance