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Hi Dear fellow members,
I am working on a payment projection scorecard for Collections team. I wanted to build continuous outcome model where the observed % payment received could be split into one event and one non event with suitable weights (proportion recovered could be weight for event while 1-proportion not recovered would be weight for non event).
Would proc logistic with weights option be a good option or should I consider using survey logistic. I am not using any complex survey data. The standard errors and Chi-sq values between the two methods is remarkably different and I am not sure how to proceed.
Please advise if any of you have any insights into this.
Many thanks in advance!!