Hi,
I have a database of 2000+ twins_siblings, where I want to evaluate 2 potential binary outcomes of sinus disease (sindx). Patient relationships are listed as familyid(same id for family members) and zygosity (mono- & dizygotic twins or sibling). I want to analyze whether there is a higher odds of developing sinus disease if a specific haplotype in a gene is present. There are currently 3 haplotypes (bitfhomo, bithetero, bitnofxn), each their own binary variable. I want to match patients by their zygosity and familyid, with the clogit to give me the OR for each zygosity pairing. Currently Stata is giving me only 1 readout. I have the following so far:
*To match the variables
.ccmatch famid zygosity, id(jhsid) cc(sindx)
*Conditional logistic regression for each gene haplotype
.clogit sindx bitfhomo, group(match) or
.clogit sindx bithetero, group(match) or
.clogit sindx bitnonfxn, group(match) or
For each read-out, I get only 1 OR, however, and want an OR for each of the zygosity listings.
Can you help?
Thanks,
Nick
I have a database of 2000+ twins_siblings, where I want to evaluate 2 potential binary outcomes of sinus disease (sindx). Patient relationships are listed as familyid(same id for family members) and zygosity (mono- & dizygotic twins or sibling). I want to analyze whether there is a higher odds of developing sinus disease if a specific haplotype in a gene is present. There are currently 3 haplotypes (bitfhomo, bithetero, bitnofxn), each their own binary variable. I want to match patients by their zygosity and familyid, with the clogit to give me the OR for each zygosity pairing. Currently Stata is giving me only 1 readout. I have the following so far:
*To match the variables
.ccmatch famid zygosity, id(jhsid) cc(sindx)
*Conditional logistic regression for each gene haplotype
.clogit sindx bitfhomo, group(match) or
.clogit sindx bithetero, group(match) or
.clogit sindx bitnonfxn, group(match) or
For each read-out, I get only 1 OR, however, and want an OR for each of the zygosity listings.
Can you help?
Thanks,
Nick
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