Your English writing platform
Discover LudwigSuggestions(5)
Exact(19)
The analysis of DCE data relies on classical choice models and random utility theory (RUT) [35].
According to Table 4, both OLS models and random coefficient models show similar patterns of how status discordance is shaped.
We then test the implications of the theoretical model using pooled linear probability models and random intercept multilevel models8, accounting for sample selection bias in the mobility equation.
To this purpose, we consider fatigue-limit models and random fatigue-limit models that are specially designed to allow the treatment of the run-outs (right-censored data).
Although the design and evaluation of face recognition algorithms draw upon some familiar statistical ideas in multivariate statistics, dimension reduction, classification, clustering, binary response data, generalized linear models and random effects, the field also presents some unique features and challenges.
Two types of surface subsurface functions, namely linear models and random forests, that estimate subsurface property values from surface values and landscape covariates were first calibrated over the set of legacy measured profiles.
Similar(41)
The focus is to identify factors that contribute for collision type crashes in those locations, mainly factors related to road geometric consistency, since literature is scarce on those, and to research the impact of three modeling methods: generalized estimating equations, random-effects negative binomial models and random-parameters negative binomial models, on the factors of those models.
To estimate selective reporting bias we use fixed-effect models and random-effects models (see Fig. 2).
The overall effect sizes will be estimated using both fixed-effects models and random-effects models.
Table 2 summarized the association between XRCC1 and194Trp Arg399Gln9Gln polymorphisms with response and overall survival in fixed-effect models and random-effect models, respectively.
Comparison of risk levels with logistic models, and random-effects logistic models resulted in very similar estimates for the fresh and marine data.
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