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We used Poisson regression to examine time trends in research publications and negative binomial regression to explore determinants of research publications.
The study used negative binomial regression to explore factors associated with research publications because of greater variability than expected in the number of research publications.
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Of 3244 subjects (return rate 52.4%), 936 men aged 40 64 years were analyzed using log-binomial regression to explore factors related to PSA-screening participation within 1 year.
We also calculated per cent relative growth and the per cent share of worldwide research output as follows: We used negative binomial regression models to explore the country-level factors associated with health research publications.
We used negative binomial regression to analyze survey data for 9974 middle-aged and older respondents to the Health and Retirement Study in the USA.
We conducted a negative binomial regression to determine any differences in the pre-post periods.In our multivariable analysis, there was a statistically significant decrease in hospital admissions.
After testing different models, we used negative binomial regression to adjust rural and urban cases.
We used binomial regression to calculate RRs adjusted for possible confounders.
We used logistic binomial regression to estimate relative risks (RR) and control potential confounders.
We used log binomial regressions to control for any potential confounders.
We used Cox log-binomial regression to estimate predictors of the use of vascular endothelial growth factor (VEGF) antagonists within 1 year after diagnosis.
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