Indirect estimation of a discrete-state discrete-time model using secondary data analysis of regression data.
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Cites background or methods from "Indirect estimation of a discrete-s..."
...It is equivalent to the example published in Section 3.1 of Isaman et al.2 It was presented here again to deal with the multi-dimensional aspect that was not previously discussed, for the sake of completeness....
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...The details of how the expected values x and the associated covariance matrix C are calculated is beyond the scope of this paper and are addressed in detail by Isaman et al.(2) In 01 p = 01 p (No table – implemented as a single cell table)...
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...1 of Isaman et al.(2) It was presented here again to deal with the multi-dimensional aspect that was not previously discussed, for the sake of completeness....
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...The data for study B2 can be used as incident counts or as the UKPDS 5618 risk engine equation, as described in more detail by Isaman et al.2 The tables that appear in the categorical studies are based on gender in study E, and on gender and age in studies F1 and G. Multiple time outcomes are provided by study F1....
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...Scenario #10 uses the simplest base model with incident counts equivalent to the results published by Ye et al.,3 whereas scenario #20 uses the simplest base model with the regression estimates equivalent to results published by Isaman et al.2 Also note that models #14–#17 and #34– #37 (or #24–#27 and #44–#47) are distinguished by the use of gender versus age as a decision covariate in p34....
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"Indirect estimation of a discrete-s..." refers background in this paper
...likelihood function of unknown parameters k(k) is Normal(k̂(k),R(k)) [17, 18]....
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