Jacob Stærk-ØstergaardNovo Nordisk
Jacob Stærk-Østergaard
PhD in Statistics
About
19
Publications
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Publications
Publications (19)
Introduction
Elevated levels of high-sensitivity C-reactive protein (hsCRP ≥ 2 mg/L) are a marker of systemic inflammation and a risk factor for atherosclerotic cardiovascular disease (ASCVD). We set out to determine the prevalence of systemic inflammation among individuals with ASCVD participating in the SELECT, SOUL and FLOW trials, three ongoing...
Introduction
Inflammation is a pathophysiological process associated with increased cardiovascular (CV) risk, with high-sensitivity C-reactive protein (hsCRP) used as a biomarker to predict CV risk. However, the prevalence of systemic inflammation (defined as hsCRP ≥ 2 mg/L) in contemporary cohorts with high CV risk, including CV disease (CVD), chr...
Coordinated inauthentic behavior is used as a tool on social media to shape public opinion by elevating or suppressing topics using systematic engagements -- e.g. through *likes* or similar reactions. In an honest world, reactions may be informative to users when selecting on what to spend their attention: through the wisdom of crowds, summed react...
Safe and effective vaccines are crucial for the control of Covid-19 and to protect individuals at higher risk of severe disease. The test-negative design is a popular option for evaluating the effectiveness of Covid-19 vaccines. However, the findings could be biased by several factors, including imperfect sensitivity and/or specificity of the test...
Background:
Predicting non-survival in horses with acute colitis improves early decision making. Therefore, this study aimed to determine the prognostic value of serum amyloid A (SAA) and other clinicopathological and clinical variables in adult horses with acute colitis.
Methods:
Clinical variables, SAA and other blood biomarkers, including pla...
Background:
Horses with non-strangulating intestinal infarction (NSII) are often misdiagnosed with idiopathic peritonitis or acute colitis. Early diagnosis is essential to ensure early surgical intervention and improve survival.
Methods:
Clinical and laboratory data from horses admitted to the University of Copenhagen Large Animal Teaching Hospi...
This paper presents a novel estimator for a non-standard restriction to both symmetry and low rank in the context of high dimensional cointegrated processes. Furthermore, we discuss rank estimation for high dimensional cointegrated processes by restricted bootstrapping of the Gaussian innovations. We demonstrate that the classical rank test for coi...
Safe and effective vaccines are crucial to control Covid-19 and to protect persons who are at high risk of complications or death. Test-negative design is a popular option for evaluating the effectiveness of Covid-19 vaccines, but the findings could be biased by several factors, including imperfect sensitivity and/or specificity of the test used fo...
PCR and antigen tests have been used extensively for screening during the SARS‐CoV‐2 pandemic. However, the real‐world sensitivity and specificity of the two testing procedures in the field have not yet been estimated without assuming that the PCR constitutes a gold standard test. We use latent class models to estimate the in situ performance of bo...
Inference and testing in general point process models such as the Hawkes model is predominantly based on asymptotic approximations for likelihood-based estimators and tests. As an alternative, and to improve finite sample performance, this paper considers bootstrap-based inference for interval estimation and testing. Specifically, for a wide class...
Antigen test kits have been used extensively as a screening tool during the worldwide pandemic of coronavirus (SARS-CoV-2). While it is generally expected that taking samples for analysis with PCR testing gives more reliable results than using antigen test kits, the overall sensitivity and specificity of the two protocols in the field have not yet...
Inference and testing in general point process models such as the Hawkes model is predominantly based on asymptotic approximations for likelihood-based estimators and tests, as originally developed in Ogata (1978). As an alternative, and to improve finite sample performance, this paper considers bootstrap-based inference for interval estimation and...
Online discussion threads are important means for individual decision-making and for aggregating collective judgments, e.g. the `wisdom of crowds'. Empirical investigations of the wisdom of crowds are currently ambivalent about the role played by social information. While some findings suggest that social information undermines crowd accuracy due t...
To understand neural activity, two broad categories of models exist: statistical and dynamical. While statistical models possess rigorous methods for parameter estimation and goodness-of-fit assessment, dynamical models provide mechanistic insight. In general, these two categories of models are separately applied; understanding the relationships be...
We present cointegration analysis as a method to infer the network structure of a linearly phase coupled oscillating system. By defining a class of oscillating systems with interacting phases, we derive a data generating process where we can specify the coupling structure of a network that resembles biological processes. In particular we study a ne...