45 research outputs found
Two sided analysis of variance with a latent time series
Many real life regression problems exhibit some kind of calender time dependency and it is often of interest to predict the behavior of the regression function along this calender time direction. This can be formulated as a regression model with an added latent time series and the task is to be able to analyse this series. In this paper we engage this through a two step procedure, firstly we treat the time dependent elements as parameters and estimate them in the two-sided analysis of variance setup, secondly we use the estimated time series as predictor of the latent time series. An application to risk theory is discussed.regression, time series, risk theory
Venous thrombosis in users of non-oral hormonal contraception: follow-up study, Denmark 2001-10
Objective To assess the risk of venous thrombosis in current users of non-oral hormonal contraception
Polyclonal production of antibodies using CHO cell line mixtures
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Risk of venous thromboembolism from use of oral contraceptives containing different progestogens and oestrogen doses: Danish cohort study, 2001-9
Objective To assess the risk of venous thromboembolism from use of combined oral contraceptives according to progestogen type and oestrogen dose
Tax reform, welfare and intergenerational redistribution
This paper analyses the effects of cuts in the marginal tax rates on income from labour and capital on the macroeconomy and on the intergenerational distribution of welfare in a small open economy. For this purpose we set up a computable general equilibrium model incorporating overlapping generations, imperfect competition in the labour market, accumulation of housing and business capital, and a public pension system. We find that a revenue-neutral cut in the marginal labour tax rate yields a Pareto-improvement, whereas a fall in the capital income tax rate tends to benefit the current older generations as well as future generations at the expense of generations entering the economy in the years around the time of the reform. However, by preannouncing the cut in the capital income tax rate, the welfare losses for the young generations can be almost eliminated
The PTPN22 C1858T gene variant is associated with proinsulin in new-onset type 1 diabetes
<p>Abstract</p> <p>Background</p> <p>The protein tyrosine phosphatase nonreceptor type 2 (<it>PTPN22</it>) has been established as a type 1 diabetes susceptibility gene. A recent study found the C1858T variant of this gene to be associated with lower residual fasting C-peptide levels and poorer glycemic control in patients with type 1 diabetes. We investigated the association of the C1858T variant with residual beta-cell function (as assessed by stimulated C-peptide, proinsulin and insulin dose-adjusted HbA<sub>1c</sub>), glycemic control, daily insulin requirements, diabetic ketoacidosis (DKA) and diabetes-related autoantibodies (IA-2A, GADA, ICA, ZnT8Ab) in children during the first year after diagnosis of type 1 diabetes.</p> <p>Methods</p> <p>The C1858T variant was genotyped in an international cohort of children (n = 257 patients) with newly diagnosed type 1 diabetes during 12 months after onset. We investigated the association of this variant with liquid-meal stimulated beta-cell function (proinsulin and C-peptide) and antibody status 1, 6 and 12 months after onset. In addition HbA<sub>1c </sub>and daily insulin requirements were determined 1, 3, 6, 9 and 12 months after diagnosis. DKA was defined at disease onset.</p> <p>Results</p> <p>A repeated measurement model of all time points showed the stimulated proinsulin level is significantly higher (22%, p = 0.03) for the T allele carriers the first year after onset. We also found a significant positive association between proinsulin and IA levels (est.: 1.12, p = 0.002), which did not influence the association between <it>PTPN22 </it>and proinsulin (est.: 1.28, p = 0.03).</p> <p>Conclusions</p> <p>The T allele of the C1858T variant is positively associated with proinsulin levels during the first 12 months in newly diagnosed type 1 diabetes children.</p