A description of all covariates tested A description of any assumptions or corrections, such as tests of normality and adjustment for multiple comparisons A full description of the statistical parameters including central tendency (e.g. means) or other basic estimates (e.g. regression coefficient) ...
An elaborated description of the hierarchical structure of the models, including all of the hyperpriors that were placed on subject- and group-level parameters, are presented in the Supplementary Code. Model fitting and model comparison We used the RStan package (Stan Development Team, 2016. RStan...
environmental covariates, please keep all 'CV.*' open #CV.MLM=Covariates, #CV.FarmCPU=Covariates, nPC.GLM=5, #if you have added PCs into covariates, please keep there closed nPC.MLM=3, #if you don't want to add PCs as covariates, please comment out the parameter instead of setting ...
Potential applications include real-time screening of in-patients to gauge future demand for intensive care, and decision support at point-of-care in patient triage. The investigated covariates, e.g. medical history, patient demographics, and laboratory values often routinely assessed on admission, ...
Participants in the intervention arm (Community Model) will be offered an additional community intervention designed to enhance the uptake of and engagement with the HAP. Intervention description {11a} Facility model The HAP, a manualised and evidence-based psychosocial treatment based on behavioural ...
Missing data in covariates can result in biased estimates and loss of power to detect associations. It can also lead to other challenges in time-to-event analyses including the handling of time-varying effects of covariates, selection of covariates and t
All assigned metabolomic features (level 1 to 3) were also included in the quantitative description, and the features/pathways associated with PFAS were summed by the study numbers. We presented the results for individual PFAS or PFAS mixtures separately. Definitions of PFAS mixtures in each ...
One of the fundamental questions about human language is whether all languages are equally complex. Here, we approach this question from an information-theoretic perspective. We present a large scale quantitative cross-linguistic analysis of written language by training a language model on more than ...
Although diabetes mellitus is a complex and pervasive disease, most studies to date have focused on individual features, rather than considering the complexities of multivariate, multi-instance, and time-series data. In this study, we developed a novel diabetes prediction model that incorporates these...
Description of overall trial design. Full size image Study sample and recruitment Participants are recruited from six hospital sites in South East London over an 18 month period from March 2009 to September 2010. Breast cancer patients who report HF/NS at clinic appointments are being recruited int...