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The "difficult child" subscale was excluded from analyses due to extensive missing data.
When there is extensive missing data, those variables identified as important for describing missingness structure may also be missing.
Simulations suggest that adding genes with extensive missing data should generally either increase accuracy in Bayesian analyses, or else have no effect [ 83].
Finally, for covariates with extensive missing data, we constructed multivariate regressions both with and without these terms to evaluate the sensitivity of our findings.
These 22 responses had extensive missing data on other survey questions and it was not possible to assess the similarity or otherwise of the excluded to included respondents.
Additionally, the SHL approach is orders of magnitude faster than traditional bootstrapping [ 94, 212, 213], and it appears to be similarly robust to matrices with extensive missing data [ 41].
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Given extensive blocks of missing data in the combined matrix, character resampling (bootstrap) was not utilized to assess nodal support in this study, and estimates of branch support in our trees may be lower than the estimates calculated here.
Further, model diagnostics and missing data receive extensive treatment.
Analyses of raw randomized controlled trial data suggested that both mixed models and multiple imputation performed well, but that multiple imputation may be more robust when missing data are extensive.
Statistical programmers in the United States conducted extensive cleaning: Outliers, implausible values, missing data, and inconsistencies were checked against hard copies and, where necessary, one of us (M.D).
When dropout and/or missing data are extensive, special analytic strategies may be necessary to reduce the potential for selection bias.
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