They predicted that GDEM would provide a better alternative to SRTM because of the higher resolution, fewer missing data, and better topographic representation.
In consideration of these limitations, the follow-up questionnaire was constructed to reduce the likelihood of missing data and better suit the ASD population, with fewer items to answer and more direct questions.
Both the questionnaire and software were developed by MEND Australia, however, there were issues with data entry (i.e., no data entry controls) and the high rate of missing data suggests better facilitator training is required to ensure program fidelity in real-world situations.
Those patients with missing data had a better prognosis, so exclusion of the patients with missing values would lead to an underestimate of the true survival of the cohort.
Mixed models are more robust to the biases of missing data, and provide better control of Type 1 and Type 2 errors than last observation carried forward (LOCF) in Analysis of Variance [ 70].
Satorra-Bentler chi-square difference test between Models 7 and 8 revealed that the Model 7 under ignorable missing data assumption achieved a better fit than Model 8 when non-ignorable missingness was assumed (χ=7.17, df =3, P=0.067).
Sensitivity analyses showed that models using the dataset with imputation fitted the observed data better than those with missing data and were therefore used in all analyses.
Spectral methods consider the entire signal in their evaluation of missing data, which in return present better results when large chucks of data are missing.
Because of the mixed family types and incomplete sampling in our data set, PDT will take advantage of multiplex families, whereas APL performs better with missing data.
These models are a validated method for analysing clustered data over time, and can better handle missing data than the alternate methods (such as generalised estimating equations).
