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Appendix A: Joint Distribution of Topic Flags
Pages 191-192

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From page 191...
... Accounting for the uncertainty in the estimation of model parameters for the distribution is typically accomplished by alternating draws from a posterior distribution of the parameters θ, given the fully observed data X, observed data Yobs, and the most recent draw of the missing data Yimp(t)
From page 192...
... Imputation for the topic flags is conducted using logistic regression models, stratified on demographic factors, where subject matter experts designed the details of the model for each content flag. An important point, discussed in Chapter 5, is that although SIPP documentation refers to SRMI (sequential regression multiple imputation)


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