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For each service, we used negative binomial regression to investigate whether assessment rates varied between quartiles of LSOA-level IMD.
We therefore used a zero inflated, negative binomial regression to investigate the relations between the number of discrepancies and retraction status, year, impact factor of the journal, and number of citations.
Because we wished to examine the role of cognitive function on the risk of falling relative to balance, we performed additional analyses using negative binomial regression to investigate the relationships between each cognitive domain z-score and number of falls among individuals with and without balance impairment.
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We analyse cross-national data for the period 2003 14 using negative binomial regressions to investigate the relationship between Islamist and non-Islamist insurgency and the global distribution of polio.
We used binomial regression to calculate RRs adjusted for possible confounders.
After testing different models, we used negative binomial regression to adjust rural and urban cases.
We used logistic binomial regression to estimate relative risks (RR) and control potential confounders.
We used the log-binomial regression model to investigate the factors associated with cytopenias in general and then anemia, leucopenia and thrombocytopenia were considered as individual outcome variables.
Mann-Whitney tests, Kruskal-Wallis ANOVA and negative binomial regression were used to investigate possible associations between the number of citations and reporting quality.
Log binomial regression was performed to investigate whether there were socio-demographic or health system inequalities among women who are and are not assessed across each domain.
Descriptive statistics, chi-square analysis, ANOVA, logistic regressions and negative binomial regression models were used to investigate associations between being a caregiver or not and health and wellbeing.
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