Sentence examples for models and negative from inspiring English sources
Sex-stratified conditional logistic regression models and negative binomial models were used to compare service use by immigrant region groups to their age-matched long term residents.
Specifically, we re-estimated the baseline model (Poisson regression) using an additional year of data in the period after reform; only propensity score matched counties in control states; bootstrap method to calculate standard errors (in fixed and, separately, random effects models); and negative binomial and linear regression models.
According to previous studies, the Poisson model and negative binomial model could not accurately estimate the wafer yield.
A rule-of-thumb for this situation, which will be discussed in more detail later on, is that positive autocorrelation is usually best treated by adding an AR term to the model and negative autocorrelation is usually best treated by adding an MA term.
The marginal effects of dummy variables in both generalized linear model and negative binomial models were estimated using the method of recycled predictions (22).
The results obtained were in general coherent between models, except for the genetic correlation between ADG0 and FEC1, which was positive with the SNPED model and negative with the PED model.
aPositive Bayes factors (2ΔlnB10) support model M0 over model M1 and negative values support model M1 over model M0.
Interests and areas of expertise include methodology and approach to clinical neurology and teaching, cost-effective medical care, international healthcare models, and the negative effect of modern technology, particularly internet and social media, on the human brain and on learning.
He will create political momentum by producing positive local models and eliminating negative models.
Without NO2, the risks were attenuated in all models, and the negative bias was strongest in the summer season.
Count data models, like Poisson and negative binomial models, are often used to model rare event data (i.e., observations are non-negative integers with numerous zeros) [17], which correspond well to the characteristics of our data.
