Dear collegues. It is with great joy that i joint this group I'm a Medical doctor, Epidemiologist, actually involved in the analysis of a baseline survey. The survey used a multilevel stratified sampling design, with The province as PSU and Age group as strata How do I weight my sample in the estimation of proportion taking into account the stratified sampling procedure? This is the contibution (percentages) of each age group to the total sample sample size
15 - 24: 32.89 25 - 34: 24.25 35 - 44: 18.30 45 - 54: 12.28 55 - 64 6.90 >= 65: 5.37 As you notice, the age groups are quite imbalance. It looks necessary to weight my data to estimate a proportion (like prevalence of HBP) How do I attribute weight (pweight) for survey analysis? Is it the inverse of the probability of each age group to be selected or what? That is what I did I created a variable call agweight To each age group I attributed a weight that is equal to the inverse of the probability of a record in that agegroup to be sampled I obtained something like this? 15 - 24: 0.67 25 - 34: 0.76 35 - 44: 0.82 45 - 54: 0.88 55 - 64: 0.93 >=65 0.95 Does this procedure sound right Do i set svyset pweight to the newly created variable agweight? . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
