Results 81 to 90 of about 2,017,563 (356)
Arthritis Care &Research, EarlyView.Objective Posttraumatic osteoarthritis (PTOA) accounts for nearly 12% of osteoarthritis incidences and often occurs after anterior cruciate ligament (ACL) tear. Ensuring the uptake of preventive treatments for PTOA requires that investigators and clinicians understand factors influencing patients to seek preventive therapies.
Lily M. Waddell +10 more
wiley +1 more source
A Bound on the Variance of the Waiting Time in a Queueing System [PDF]
arXiv, 2011 Kingman has shown, under very weak conditions on the interarrival- and sevice-time distributions, that First-Come-First-Served minimizes the variance of the waiting time among possible service disciplines. We show, under the same conditions, that Last-Come-First-Served maximizes the variance of the waiting time, thereby giving an upper bound on the ...
arxiv
Juvenile Idiopathic Arthritis, Earnings, and Work Loss: A Nationwide Matched Cohort Study
Arthritis Care &Research, EarlyView.Objective This study compares trajectories of earnings and work loss in individuals with juvenile idiopathic arthritis (JIA) versus matched comparators from the general population. Methods Patients with JIA (n = 4,737) were identified in the Swedish National Patient Register (2001–2017) and individually matched to up to five general population ...
Heather Miller +4 more
wiley +1 more source
On optimal allocation of treatment/condition variance in principal component analysis [PDF]
arXiv, 2018 The allocation of a (treatment) condition-effect on the wrong principal component (misallocation of variance) in principal component analysis (PCA) has been addressed in research on event-related potentials of the electroencephalogram. However, the correct allocation of condition-effects on PCA components might be relevant in several domains of ...
arxiv
Scalable method for Bayesian experimental design without integrating over posterior distribution [PDF]
arXiv, 2023 We address the computational efficiency in solving the A-optimal Bayesian design of experiments problems for which the observational map is based on partial differential equations and, consequently, is computationally expensive to evaluate. A-optimality is a widely used and easy-to-interpret criterion for Bayesian experimental design.
arxiv
Lévy processes with finite variance conditioned to avoid an interval
Electronic Journal of Probability, 2019 Conditioning Markov processes to avoid a set is a classical problem that has been studied in many settings. In the present article we study the question if a Levy process can be conditioned to avoid an interval and, if so, the path behavior of the conditioned process.
Döring, Leif +2 more
openaire +9 more sources
Arthritis Care &Research, EarlyView.Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder +5 more
wiley +1 more source
There is a Risk-Return Tradeoff After All [PDF]
This paper studies the ICAPM intertemporal relation between the conditional mean and the conditional variance of the aggregate stock market return. We introduce a new estimator that forecasts monthly variance with past daily squared returns - the Mixed ...
Eric Ghysels +2 more
core +3 more sources
Asymmetric Conditional Volatility in International Stock Markets [PDF]
, 2006 Recent studies show that a negative shock in stock prices will generate more volatility than a positive shock of similar magnitude. The aim of this paper is to appraise the hypothesis under which the conditional mean and the conditional variance of stock
Bacry +31 more
core +4 more sources
Robust conditional variance estimation and value-at-risk [PDF]
The Journal of Risk, 2001 A common approach to estimating the conditional volatility of short horizon asset returns is to use an exponentially weighted moving average (EWMA) of squared past returns. The EWMA estimator is based on the maximum likelihood estimator of the variance of the normal distribution, and is thus optimal when returns are conditionally normal. However, there
Harris, Richard D F, Guermat, Cherif
openaire +3 more sources