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A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...
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Obesity is a major risk factor for several diseases including diabetes, heart disease and stroke. Increasing rates of obesity internationally are set to cost health systems increasing resources. In the US a conservative estimate puts resources already spent on obesity at $120 billion annually....
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Bivariate Probit (RBP) process, the resulting BP correlation parameter is a weighted average of the RBP correlation parameter … correlation parameter in a BP model, usually interpreted as evidence of independence between the binary variables under study, may … actually mask the presence of a RBP process; and ii) the interpretation of the correlation parameter in the RBP is not the same …
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