23 We tested statistical significance by using a negative binomial regression analysis with the patient as the unit of analysis.
A negative binomial regression analysis showed the heterozygous males had three times the risk of sperm having a XY content, compared to sperm from wild type males (P = 0.024).
◯ The replication attempt will also perform negative binomial regression analysis of the macrometastases count data.
Sensitivity analyses were then used to assess the impact of the selected data transformation method (using prespecified log-normal regression analysis) and the impact of outliers (using prespecified zero-truncated negative binomial regression analysis) on the LOS.
This supported conducting parallel and separate negative binomial regression analysis on the two crime types.
The study will have 80% power to detect as significant at the 5% level a 23% reduction in the rate of falling (i.e. an IRR of 0.77 using negative binomial regression analysis) in the 13-month follow-up period.
The study will have 80% power to detect as significant at the 5% level a 30% reduction in the rate of falling (i.e. an IRR of 0.70 using negative binomial regression analysis) in the 12-month follow-up period.
When the startups variable is defined as the dependent variable a priori in the negative binomial regression analysis, URs is the only statistically significant independent variable.
In the negative binomial regression analysis (table 1), the adjusted IRR for polypharmacy in 2012 compared to 1997 is 4.16 (95% CI 3.23 to 5.36).
Findings from preliminary linear-regression models of logistically transformed density (i.e., ln (density + 1)) reflect the negative binomial regression analysis presented in the accompanying paper 30; log-density was associated with bed-net use, household crowding, and proximity to rice paddies and the central rocky area.
