In order to show the relationships between actuator constraints, unreliable communication link and mixed delay neural networks, by using Lyapunov functional approach, a missing data probability dependent exponential synchronization criterion is given.
When standard MI was used to impute missing data, coverage probabilities from GEE method increased for CRTs with a small design effect but decreased for CRTs with a large design effect.
We therefore used two approaches to address missing data: inverse probability weights (29) and multiple imputation (30).
Analysis was on an intention to treat basis, with robust treatment effects estimated after adjustment for missing data using probability weights.
When complete case analysis was used to handle missing data, the coverage probabilities from GEE method were at least 0.90 for all the scenarios considered in this paper.
Due to the high percentage of missing data, the "inverse probability weight" method was used.
Due to the high percentage of missing data, the inverse probability weight method was used to analyze data.
The association was similar but nonsignificant based on models employing either multiple imputation of missing data or inverse probability weighting to adjust for loss to follow-up.
Section 2 introduces several missing data approaches for the probability regression model P β (Y|X), where the outcome Y may be missing.
We do, however, increase the weights on other respondents with identical ages, race, and education levels to reflect the missing data by using inverse probability weighting.
