Discusses extensions to discrete response, panel data, and time series models, as well as issues such as omitted variables, missing data, sample selection, randomized and quasi-experiments, and instrumental variables.
These missing values did not affect the sample's description, since no significant differences were found between the complete data set and the missing data sample concerning age, gender, height and weight.
Missing data: Sample population 4 records with no deprivation data, 1 record with no maternal age; screened population 18 records with no maternal age, 787 (3.7%) with no deprivation data, 746 with no self reported smoking data (that is, not linked records); West of Scotland 38 with no region data; Scottish data 163 with no deprivation data.
A proportion of children had missing data on samples at the one year visit, primarily because the protocol was started after the beginning of the cohort study.
In general, the spatiotemporally smoothed plume will be less biased by missing sampling rounds or missing data within sample rounds (Cressie and Wikle 2011).
Due to missing data the sample size was smaller for some tests, but never below 12 for red, green, and blue, or 9 for yellow.
Possible topics include missing data, survey sampling and experimental designs for field research, machine learning, text mining, clustering, Bayesian methods, spatial statistics, and web scraping.
The two-phase framework can be applied in missing data problems, sampling at multiple occasions, and situations without a good frame.
With a 10% allowance for missing data, a sample size of 96 was obtained for this study.
The results suggested that WGEE estimator is consistent under various scenarios of percentage of missing data and sample size, while the WLS approach could yield biased estimators due to a misspecified missing data mechanism.
