1984
DOI: 10.1093/biomet/71.1.11
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Calculation of polychotomous logistic regression parameters using individualized regressions

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Cited by 185 publications
(158 citation statements)
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“…The multinomial model nevertheless has the advantage of being more efficient and hence yielding narrower CIs. 18 A more parsimonious ordinal logistic model was also tested, but the proportional odds assumption that underlies it was not tenable and so the results from the multinomial model were retained. Unadjusted ORs were estimated without controlling for other variables.…”
Section: Methodsmentioning
confidence: 99%
“…The multinomial model nevertheless has the advantage of being more efficient and hence yielding narrower CIs. 18 A more parsimonious ordinal logistic model was also tested, but the proportional odds assumption that underlies it was not tenable and so the results from the multinomial model were retained. Unadjusted ORs were estimated without controlling for other variables.…”
Section: Methodsmentioning
confidence: 99%
“…19 P-values for trend were computed across categories of duration of use (5-year categories). Given the design of this study, its frequency matched sample of IDC cases based on age, and our exclusion of other histologic subtypes of breast cancer risk, estimates for breast cancer overall could not be calculated.…”
Section: Methodsmentioning
confidence: 99%
“…[1] All analyses were conducted using Stata/SE version 11.2 (StataCorp LP, College Station, TX). All models were adjusted for age (five year categories), reference year (continuous), and county since controls were matched to cases on these factors.…”
Section: Methodsmentioning
confidence: 99%