Your English writing platform
Discover LudwigExact(23)
We applied a stepwise regression model with forward selection of explanatory variables.
We investigated effects of elastic structure on coseismic deformation due to the 2011 Tohoku-oki earthquake, Japan, with a 3-D finite element model with forward and inverse approaches.
The analysis of the generalized linear mixed model with forward selection determined that age was a significant factor affecting positive phonotactic responses and that age and body size both significantly affected acoustic responses (Table 3).
Variables found to be significantly related to HPV infection by univariate analyses were entered into a multiple logistic regression model with forward selection procedures to identify variables that contributed independently to the probability of HPV prevalence.
In our simulations, this is done using SRmapqtl with model set to two (the model with forward and backward selection in stepwise regression) in the QTL Cartographer software [18].
Factors were included in the Cox model with forward selection.
Similar(37)
Additionally, we tested CRF models with forward (from left to right) and backward (from right to left) parsing.
Multiple linear regression models with forward stepwise methods were used to analyze the temporal associations between weather and headaches.
Variables showing significance at the 5% level were entered into multiple linear regression models with forward selection.
Independent predictors of PMCE in univariate analysis were included in multivariate logistic models with forward conditional methods.
Analysis was carried out using logistic regression models with forward selection at an alpha level of 5%.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com