Analysis models on the imputed data sets included the same variables as those used in the analysis models using the complete case analysis approach, that is, age, deprivation, tumour type and screening detection status for breast cancer, and age, sex, deprivation and tumour type for lung cancer, including a random effect for Primary Care Trust.
For sensitivity analysis, the new dataset (n = 115) was derived from original data set by using the complete case analysis in which only questionnaires without DK responses were retained for the analysis, and scores were calculated by summing the response codes to the questionnaire items.
To identify genes that are differentially expressed in cancer tissues, we determined gene specificity (Si) and target specificity (TSij) in dataset A using the complete grouping analysis.
The SNPs were called using the Complete Genomics Analysis tool which was especially designed to analyze data from Complete Genomics.
In order to assess the impact of missing data on our findings, we examined the results when performing the analyses using mean imputation method, and when using the complete case analysis.
The monochromatic aberration function of the eye was measured using the Complete Ophthalmic Analysis System (COAS, Wavefront Sciences Ltd), which is based on the Shack-Hartmann principle as described elsewhere[ 9].
The Random Forest model was developed by calculating and collecting data for 31 covariates from the union set at loci in samples that overlapped with calls made using the Complete Genomics (CGI) analysis pipeline.
Therefore, transcriptome sequencing (RNA-seq) [ 17, 18] was here used for the complete analysis of the mostly uncharted transcriptional landscape of B. methanolicus MGA3.
These imputed data have been used in all analysis, with a sensitivity analysis using the complete cases.
The basic idea of this GRAMMAR is to perform a single polygenic analysis using the complete pedigree but ignoring marker data.
