COMBO Notation Guide - Two-stage Misclassification Model

Kim Hochstedler

Notation

This guide is designed to summarize key notation and quantities used the COMBO R Package and associated publications.
Term Definition Description
\(X\) Predictor matrix for the true outcome.
\(Z^{(1)}\) Predictor matrix for the first-stage observed outcome, conditional on the true outcome.
\(Z^{(2)}\) Predictor matrix for the second-stage observed outcome, conditional on the true outcome and first-stage observed outcome.
\(Y\) \(Y \in \{1, 2\}\) True binary outcome. Reference category is 2.
\(y_{ij}\) \(\mathbb{I}\{Y_i = j\}\) Indicator for the true binary outcome.
\(Y^{*(1)}\) \(Y^{*(1)} \in \{1, 2\}\) First-stage observed binary outcome. Reference category is 2.
\(y^{*(1)}_{ik}\) \(\mathbb{I}\{Y^{*(1)}_i = k\}\) Indicator for the first-stage observed binary outcome.
\(Y^{*(2)}\) \(Y^{*(2)} \in \{1, 2\}\) Second-stage observed binary outcome. Reference category is 2.
\(y^{*(2)}_{i \ell}\) \(\mathbb{I}\{Y^{*(2)}_i = \ell \}\) Indicator for the second-stage observed binary outcome.
True Outcome Mechanism \(\text{logit} \{ P(Y = j | X ; \beta) \} = \beta_{j0} + \beta_{jX} X\) Relationship between \(X\) and the true outcome, \(Y\).
First-Stage Observation Mechanism \(\text{logit}\{ P(Y^{*(1)} = k | Y = j, Z^{(1)} ; \gamma^{(1)}) \} = \gamma^{(1)}_{kj0} + \gamma^{(1)}_{kjZ^{(1)}} Z^{(1)}\) Relationship between \(Z^{(1)}\) and the first-stage observed outcome, \(Y^{*(1)}\), given the true outcome \(Y\).
Second-Stage Observation Mechanism \(\text{logit}\{ P(Y^{*(2)} = \ell | Y^{*(1)} = k, Y = j, Z^{(2)} ; \gamma^{(2)}) \} = \gamma^{(2)}_{\ell kj0} + \gamma^{(2)}_{\ell kjZ^{(2)}} Z^{(2)}\) Relationship between \(Z^{(2)}\) and the second-stage observed outcome, \(Y^{*(2)}\), given the first-stage observed outcome, \(Y^{*(1)}\), and the true outcome \(Y\).
\(\pi_{ij}\) \(P(Y_i = j | X ; \beta) = \frac{\text{exp}\{\beta_{j0} + \beta_{jX} X_i\}}{1 + \text{exp}\{\beta_{j0} + \beta_{jX} X_i\}}\) Response probability for individual \(i\)’s true outcome category.
\(\pi^{*(1)}_{ikj}\) \(P(Y^{*(1)}_i = k | Y = j, Z^{(1)} ; \gamma^{(1)}) = \frac{\text{exp}\{\gamma^{(1)}_{kj0} + \gamma^{(1)}_{kjZ^{(1)}} Z_i^{(1)}\}}{1 + \text{exp}\{\gamma^{(1)}_{kj0} + \gamma^{(1)}_{kjZ^{(1)}} Z_i^{(1)}\}}\) Response probability for individual \(i\)’s first-stage observed outcome category, conditional on the true outcome.
\(\pi^{*(2)}_{i \ell kj}\) \(P(Y^{*(2)}_i = \ell | Y^{*(1)} = k, Y = j, Z^{(2)} ; \gamma^{(2)}) = \frac{\text{exp}\{\gamma^{(2)}_{\ell kj0} + \gamma^{(2)}_{\ell kjZ^{(2)}} Z_i^{(2)}\}}{1 + \text{exp}\{\gamma^{(2)}_{\ell kj0} + \gamma^{(2)}_{\ell kjZ^{(2)}} Z_i^{(2)}\}}\) Response probability for individual \(i\)’s second-stage observed outcome category, conditional on the first-stage observed outcome and the true outcome.
\(\pi^{*(1)}_{ik}\) \(P(Y^{*(1)}_i = k | X, Z^{(1)} ; \gamma^{(1)}) = \sum_{j = 1}^2 \pi^{*(1)}_{ikj} \pi_{ij}\) Response probability for individual \(i\)’s first-stage observed outcome cateogry.
\(\pi^{*(1)}_{jj}\) \(P(Y^{*(1)} = j | Y = j, Z^{(1)} ; \gamma^{(1)}) = \sum_{i = 1}^N \pi^{*(1)}_{ijj}\) Average probability of first-stage correct classification for category \(j\).
\(\pi^{*(2)}_{jjj}\) \(P(Y^{*(2)} = j | Y^{*(1)}_i = j, Y = j, Z^{(2)} ; \gamma^{(2)}) = \sum_{i = 1}^N \pi^{*(2)}_{ijjj}\) Average probability of first-stage and second-stage correct classification for category \(j\).
First-Stage Sensitivity \(P(Y^{*(1)} = 1 | Y = 1, Z^{(1)} ; \gamma^{(1)}) = \sum_{i = 1}^N \pi^{*(1)}_{i11}\) True positive rate. Average probability of observing first-stage outcome \(k = 1\), given the true outcome \(j = 1\).
First-Stage Specificity \(P(Y^{*(1)} = 2 | Y = 2, Z^{(1)} ; \gamma^{(1)}) = \sum_{i = 1}^N \pi^{*(1)}_{i22}\) True negative rate. Average probability of observing first-stage outcome \(k = 2\), given the true outcome \(j = 2\).
\(\beta_X\) Association parameter of interest in the true outcome mechanism.
\(\gamma^{(1)}_{11Z^{(1)}}\) Association parameter of interest in the first-stage observation mechanism, given \(j=1\).
\(\gamma^{(1)}_{12Z^{(1)}}\) Association parameter of interest in the first-stage observation mechanism, given \(j=2\).
\(\gamma^{(2)}_{111Z^{(2)}}\) Association parameter of interest in the second-stage observation mechanism, given \(k = 1\) and \(j = 1\).
\(\gamma^{(2)}_{121Z^{(2)}}\) Association parameter of interest in the second-stage observation mechanism, given \(k = 2\) and \(j = 1\).
\(\gamma^{(2)}_{112Z^{(2)}}\) Association parameter of interest in the second-stage observation mechanism, given \(k = 1\) and \(j = 2\).
\(\gamma^{(2)}_{122Z^{(2)}}\) Association parameter of interest in the second-stage observation mechanism, given \(k = 2\) and \(j = 2\).