Clinical Data Interchange Standards Consortium (CDISC) Standard Data
    Tabulation Model (SDTM) controlled terminology, 2025-03-25.
    Source: <https://evs.nci.nih.gov/ftp1/CDISC/SDTM/>.

Provides a set of tools to assist statistical programmers 
    in validating Study Data Tabulation Model (SDTM) domain data sets. 
    Statistical programmers are required to validate that a SDTM data set domain 
    has been programmed correctly, per the SDTM Implementation Guide (SDTMIG) by 
    'CDISC' (<https://www.cdisc.org/standards/foundational/sdtmig>), 
    study specification, and study protocol using a process called double 
    programming. Double programming involves two different programmers 
    independently converting the raw electronic data cut (EDC) data into a SDTM 
    domain data table and comparing their results to ensure accurate 
    standardization of the data. One of these attempts is termed 'production' 
    and the other 'validation'. Generally, production runs are the official 
    programs for submittals and these are written in 'SAS'. Validation runs can 
    be programmed in another language, in this case 'R'.

Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties. More details about the methodology SDWD is seen on Wang and Zou (2016) (<doi:10.1080/10618600.2015.1049700>).

A few major genes and a series of polygene are responsive for each quantitative trait. Major genes are individually identified while polygene is collectively detected. This is mixed major genes plus polygene inheritance analysis or segregation analysis (SEA). In the SEA, phenotypes from a single or multiple bi-parental segregation populations along with their parents are used to fit all the possible models and the best model of the trait for population phenotypic distributions is viewed as the model of the trait. There are fourteen types of population combinations available. Zhang Yuan-Ming, Gai Jun-Yi, Yang Yong-Hua (2003, <doi:10.1017/S0016672303006141>).