https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Testing the Poisson regression model https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8788 Wed 11 Apr 2018 16:40:08 AEST ]]> Assessing Poisson and logistic regression models using smooth tests https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12895 Wed 11 Apr 2018 13:33:19 AEST ]]> Generalised smooth tests for the generalised Pareto distribution https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15629 Wed 11 Apr 2018 12:34:18 AEST ]]> Assessing the fit of finite mixture distributions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32175 Wed 09 May 2018 12:03:11 AEST ]]> Application of smooth tests of goodness of fit to generalized linear models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12622 Tue 11 Dec 2018 17:18:25 AEDT ]]> Smooth tests for the gamma distribution https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13411 Sat 24 Mar 2018 08:18:35 AEDT ]]> Recentered importance sampling with applications to Bayesian model validation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19981 Sat 24 Mar 2018 07:50:58 AEDT ]]> Combined associations of a polygenic risk score and classical risk factors with breast cancer risk https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46399 313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.]]> Fri 18 Nov 2022 14:15:23 AEDT ]]>