Science in China Series A-MathematicsA general additive-multiplicative rates model for recurrent event data[J]. DAI JiaJia1,2, SUN LiuQuan3 & YANG ZhenHai2 1 College of Science, Guizhou University, Guiyang 550025, China 2 College of Applied Sciences, Beijing University of Technology, Beijing ...
General additive modeling evaluated factors potentially modulating performance (age, sex, ethnicity, socioeconomic status, and pubertal developmental stage). ... EV Sullivan,T Brumback,SF Tapert,... - 《Neuropsychology》 被引量: 16发表: 2016年 Advances and impasses in Fred Halliday's international...
The theoretical expectations of each of the generations for a model which allows for the additive, dominance and digenic rion-allelic interactions effects of the genes are given in the lower half of table 5. A model which excluded non-allelic interactions was inadequate for all characters except ...
In the absence of epistasis, additive and dominance components of variation may then be estimated by the method of Comstock and Robinson (1952). Where, as in design III, the cross to the F1 is not made, no test for epistasis is possible and the additive and dominance components estimated ...
We explored the nonlinear relationships between glycemic indices and SUA levels with generalized additive models (GAM) using the R package mgcv (R software program, version 3.0.0). Based on the cut-off values indicated in the splines, the participants were stratified into two groups. Within each...
For the beta model, the “betar” argument was used instead of “Gamma”. In this model, the “bam” function was used to generate the GAM in order to reduce computation time on a large data set, but “gam” could be employed for smaller data sets. dti_fa = column name of FA ...
(and some of them predate PyTorch), the process of filling theREPRODUCIBILITY.mdfile is ongoing. We are working hard to fill the file with the results of all models in Mammoth. If you need the results of a specific model, please open an issue in the GitHub repository or contact us ...
The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered an...
Lastly, we applied a generalized additive model (GAM) with Gaussian processes tensor product on the predictive attributes to obtain a parsimonious statistical model that considers nonlinear interactions. Results A total of 92 children were initially included in the study and randomized to the CHS (n...
(ii) Fitting an additive-dominance model The analysis of variance of sums (L1 + L2) and differences (L12 —L2) for the two characters are summarised in table 3. The analyses have been carried out on plot means hence r is effectively 1. Since each cross is repre- sented by four ...