teah whats this mean ???

Epipop was designed with a direct link to the WA HIV Cohort Study electronic database to facilitate analyses based on Fisher's exact tests and logistic regression models. Power calculations, covariate selection procedures and randomisation procedures are described in detail below.


Steps in Epipop analysis at a single amino acid -an example using position 135 of HIV-1 RT

Set the outcome/response variable as any substitution of population sequence consensus amino acid (isoleucine) at position 135 of HIV-1 RT, ie I135x. Set starting covariates/explanatory variables as all HLA-A and-B alleles present in all individuals (n=473): A1, A2, A3, A9, A10, A11, A19, A28, A31, A36, B5, B7, B8, B12, B13, B14, B15, B16, B17, B18, B21, B22, B27, B35, B37, B40, B41, B42, B55, B56, B58, B60, B61. Serologically defined broad alleles were considered, rather than subtypes defined by high resolution DNA sequence based typing, so that data on all individuals in the cohort could be included. Furthermore, for several published CTL epitopes in HIV-1 RT, the HLA restriction of the epitope to the level of high resolution typing is not known.