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- Dominicus, Annica, et al.
(författare)
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Likelihood ratio tests in behavioral genetics: Problems and solutions
- 2006
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Ingår i: Behavior Genetics. - : Springer. - 0001-8244 .- 1573-3297. ; 36:2, s. 331-340
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Tidskriftsartikel (refereegranskat)abstract
- The likelihood ratio test of nested models for family data plays an important role in the assessment of genetic and environmental influences on the variation in traits. The test is routinely based on the assumption that the test statistic follows a chi-square distribution under the null, with the number of restricted parameters as degrees of freedom. However, tests of variance components constrained to be non-negative correspond to tests of parameters on the boundary of the parameter space. In this situation the standard test procedure provides too large p-values and the use of the Akaike Information Criterion (AIC) or the Bayesian Information Criterion (BIC) for model selection is problematic. Focusing on the classical ACE twin model for univariate traits, we adapt existing theory to show that the asymptotic distribution for the likelihood ratio statistic is a mixture of chi-square distributions, and we derive the mixing probabilities. We conclude that when testing the AE or the CE model against the ACE model, the p-values obtained from using the v2 (1 df) as the reference distribution should be halved. When the E model is tested against the ACE model, a mixture of v2(0 df), v2(1 df) and v2 (2 df) should be used as the reference distribution, and we provide a simple formula to compute the mixing probabilities. Similar results for tests of the AE, DE and E models against the ADE model are also derived. Failing to use the appropriate reference distribution can lead to invalid conclusions.
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| 3. |
- Parodis, Ioannis, 1981-, et al.
(författare)
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Lupus Low Disease Activity State and organ damage in relation to quality of life in systemic lupus erythematosus : a cohort study with up to 11 years of follow-up
- 2024
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Ingår i: Rheumatology. - : Oxford University Press. - 1462-0324 .- 1462-0332.
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES: Beyond prevention of organ damage, treatment goals in systemic lupus erythematosus (SLE) include optimisation of health-related quality of life (HRQoL). The Lupus Low Disease Activity State (LLDAS) has received increasing attention as a goal whenever remission cannot be achieved. How SLE disease activity, organ damage, and LLDAS attainment relate to patient-reported outcomes (PROs) is not fully explored, which formed the scope of this investigation.METHODS: We included 327 patients with SLE from a tertiary referral centre. Longitudinal registrations of disease activity using SLEDAI-2K and physician global assessment (PhGA), organ damage using the SLICC/ACR damage index (SDI), pharmacotherapies, EQ-5D-3L data, as well as visual analogue scale (VAS) scores for fatigue, pain, and overall SLE-related health state over a median follow-up time of 8.5 years were analysed.RESULTS: In the overall population, as well as subgroups of patients with recent-onset SLE and those with clinically active, autoantibody-positive disease, LLDAS attainment, lower PhGA, and lower clinical SLEDAI-2K scores were associated with favourable HRQoL by EQ-5D-3L and VAS assessments, while increasing SDI scores were associated with poor PROs yet not fatigue in the overall population. PROs were further enhanced by being in LLDAS sustainedly. In fully adjusted models of the entire study population, LLDAS attainment and lower disease activity were associated with favourable PROs, irrespective of SDI.CONCLUSION: In one of the longest to date observational studies, we demonstrated that low disease activity and being sustainedly in LLDAS were coupled with favourable HRQoL, pain, fatigue, and overall health experience, irrespective of organ damage.
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| 4. |
- Ripatti, Samuli, et al.
(författare)
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GENESTAT : an information portal for design and analysis of genetic association studies
- 2009
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Ingår i: European Journal of Human Genetics. - : Springer Science and Business Media LLC. - 1018-4813 .- 1476-5438. ; 17:4, s. 533-536
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Tidskriftsartikel (refereegranskat)abstract
- We present the rationale, the background and the structure for version 2.0 of the GENESTAT information portal (www.genestat.org) for statistical genetics. The fast methodological advances, coupled with a range of standalone software, makes it difficult for expert as well as non-expert users to orientate when designing and analysing their genetic studies. The ultimate ambition of GENESTAT is to guide on statistical methodology related to the broad spectrum of research in genetic epidemiology. GENESTAT 2.0 focuses on genetic association studies. Each entry provides a summary of a topic and gives links to key papers, websites and software. The flexibility of the internet is utilised for cross-referencing and for open editing. This paper gives an overview of GENESTAT and gives short introductions to the current main topics in GENESTAT, with additional entries on the website. Methods and software developers are invited to contribute to the portal, which is powered by a Wikipedia-type engine and allows easy additions and editing.
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