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. 2022 Jul 29;23(4):1056–1073. doi: 10.1093/biostatistics/kxac027

Table 5.

MSM for the causal effects of aspirin use on the hearing loss at 4000 Hz

Method Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic Inline graphic
IndCov 16.609 (0.227) 1.317 (0.059) 0.076 (1.312) Inline graphic 0.592 (1.389) 0.541 (1.418) 0.233 (0.880)
ExchCov 16.642 (0.228) 1.306 (0.055) 0.087 (1.045) Inline graphic 0.424 (0.61) 0.335 (0.723) Inline graphic 0.282 (0.918)
Inline graphic Cov 16.642 (0.228) 1.306 (0.054) 0.088 (1.036) Inline graphic 0.409 (0.581) 0.316 (0.702) Inline graphic 0.282 (0.918)
Inline graphic Cov 16.642 (0.228) 1.306 (0.055) 0.088 (1.04) Inline graphic 0.416 (0.594) 0.325 (0.711) Inline graphic 0.282 (0.918)
Inline graphic Cov 16.642 (0.228) 1.306 (0.054) 0.088 (1.036) Inline graphic 0.409 (0.581) 0.316 (0.702) Inline graphic 0.282 (0.918)
Inline graphic Cov 16.642 (0.228) 1.306 (0.055) 0.088 (1.04) Inline graphic 0.416 (0.594) 0.325 (0.711) Inline graphic 0.282 (0.918)
ExchTwoS 16.714 (0.42) 1.358 (0.134) 0.189 (1.401) Inline graphic 1.37 (1.183) 1.321 (1.684) Inline graphic 0.665 (1.177)
Inline graphic TwoS 16.716 (0.419) 1.357 (0.134) 0.09 (1.385) Inline graphic 1.204 (1.281) 1.217 (1.729) Inline graphic 0.665 (1.177)
Inline graphic TwoS 16.715 (0.419) 1.357 (0.134) 0.171 (1.389) Inline graphic 1.417 (1.305) 1.336 (1.724) Inline graphic 0.665 (1.177)
Inline graphic TwoS 16.716 (0.419) 1.357 (0.134) 0.09 (1.385) Inline graphic 1.204 (1.281) 1.217 (1.729) Inline graphic 0.665 (1.177)
Inline graphic TwoS 16.715 (0.419) 1.357 (0.134) 0.171 (1.389) Inline graphic 1.417 (1.305) 1.336 (1.724) Inline graphic 0.665 (1.177)

A mixed-effects model was is to estimate the treatment probability for the weight matrix. For the one-stage method, we consider the following situations: (1) using a working independent covariance matrix (IndCov); (2) using a working exchangeable covariance matrix for within subject correlation and assume independence between subjects (ExchCov); (3) using the four user-defined covariance matrices for within-subject correlation and assume independence between subjects (Inline graphicCov, Inline graphicCov, Inline graphicCov, Inline graphicCov). For the two-stage method, we consider the following situations: (1) using a working exchangeable covariance matrix for the first stage cluster-specific MSMs and combine the results using mixed-effects meta-analysis (ExchTwoS); (2) using the four user-defined covariance matrices for the first stage cluster-specific MSMs and combine the results using mixed-effects meta-analysis (Inline graphicTwoS, Inline graphicTwoS, Inline graphicTwoS, Inline graphicTwoS).