To search the space of models, we use the stepwise model search algorithm of Broman and Speed (2002): we use forward selection up to a model of fixed size (e.g., ten QTL), followed by backward elimination to the null model.
To search the space of models, we use the stepwise model search algorithm of Broman and Speed (2002): We use forward selection up to a model of fixed size (e.g., 10 QTL), followed by backward elimination to the null model.
To detect the presence of possible population bottlenecks, genotype data were analyzed in the computer program B OTTLENECK[ 36] using the stepwise mutation model (SMM) and two-phase model (TPM) at 95% stepwise and 70% stepwise.
Analyses using the stepwise mutation model were also carried out, but they provided similar results, so only those with the infinite allele mutation model are presented.
Joint QTL mapping for a single NAM population or the two NAM populations together was conducted by using the stepwise regression model described by Buckler et al. [ 9].
To illustrate the possible consequences of different features in essential gene prediction, we investigate the linkages between gene essentiality and gene features in the Saccharomyces cerevisiae (SCE, Table 2A) and Escherichia coli (ECO, Table 2B) genomes, using the stepwise regression model (SRM) combined with forward selection [ 39- 41].
Using the stepwise logistic regression model for potential variables, only stroke subtype, NIHSS score, and serum TBARS level were independently associated with three-month outcome.
Associated variables were entered into logistic regression models using the stepwise selection procedure, one model for each selected complication.
Using the stepwise method, the final model considered a 0.05 significance cut-off.
