Sentence examples for binomial models were used from inspiring English sources

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Mixed effects models and log binomial models were used to assess the association of maternal PHIV status with infant outcomes.

Exponential conditional mean models and zero-inflated negative binomial models were used to analyse mean monthly healthcare expenditures and short-term disability days.

Negative binomial models were used to fit the data for both species and Akaike's Information Criterion (corrected for small sample size) was used to determine the best model.

Negative binomial models were used to calculate significance for weeks missed due to injury.

Negative binomial models were used to quantify the relationship between HAART use and shedding of either HSV type.

Negative binomial models were used over Poisson models due to over-dispersion in the rates of polypharmacy.

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A similar pattern in healthcare utilization was seen within 90 days after index discharge.> -wrap-foot> confidencence interval, ICU intensive care unit aOdds ratio (OR) from Chi-square test is used for categorical variables, negative binomial models are used to test for differences between means for count variables (number of events and length of stay).

MVPA data were highly over-dispersed with variance 5 to 6 times higher than the means within each period of the day, so negative binomial model were used to investigate which factors were related to the percentage of time spent in MVPA and the results were reported as rate ratios (RRs) [ 26].

39 40 Quasi-binomial models were used to avoid overdispersion.

Log-binomial models were used to estimate relative risks (RR) and 95% CI [ 41, 42].

41 GLM quasi-binomial models were used to explore bivariate associations between malnutrition and independent variables, reported as crude (unadjusted) PRs with their associated 95% CIs.

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