Results 241 to 250 of about 1,487,401 (267)

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

Arthritis Care &Research, Accepted Article.
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy, Lily Waddell, Adam Easterbrook, Jeffrey N. Katz, Cale Jacobs, Morgan Jones, Faith Selzer, Elena Losina, Liana Fraenkel, Nick Bansback   +9 more
wiley   +1 more source

Exploring Patients’ Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial

Arthritis Care &Research, EarlyView.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +1 more source

Clinical Outcomes of Patients Within the Rheumatoid Arthritis Care Pathway Cohort at a Tertiary Care Integrated Delivery Network: A Comparison to Usual Care

Arthritis Care &Research, EarlyView.
Objective We aimed to compare clinical outcomes between patients in the Allegheny Health Network rheumatoid arthritis (RA) care pathway and patients receiving usual care. Methods The care pathway initiative implements guideline‐based best practice alongside multidisciplinary team‐based care.
Tarun Sharma, Tyson S. Barrett, Teigan Dwyer, Nancy Campbell, Jessica Heintzinger, Ellen Kraemer, Adam Dore, Susan Manzi   +7 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Robust Estimation Through Estimating Equations

Biometrika, 1984
The paper deals with the choice of parameter definition. It develops the concepts of parameter defining function and effective parameter. It also provides theory and techniques for choosing from a given set of robust parameters the one that can most efficiently be estimated. This theory is applied to location parameters.
Godambe, V. P., Thompson, M. E.
openaire   +1 more source

Estimating robustness

Journal of Economic Theory, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Robust pose estimation

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999
Standard least-squares (LS) methods for pose estimation of objects are sensitive to outliers which can occur due to mismatches. Even a single mismatch can severely distort the estimated pose. This paper describes a least-median of squares (LMedS) approach to estimating pose using point matches.
openaire   +2 more sources

Robust m-estimators

Econometric Reviews, 1990
This paper provides a summary of the influence function approach to robust estimation of parametric models. Hampel's optimality results for M-estimators with a bounded influence function is generalized to allow for arbitrary choices of the asymptotic efficiency criterion and the norm of the influence function.
openaire   +3 more sources

Robust estimations

2022
This manuscript is currently under review in PNAS. There are three papers related. For more.information, please visit https//github.com/tubanlee. If you are interested, feel free to contact tl@biomathematics.org, for more materials available by request. Please do not use it without the author's approval before publishing.
openaire   +1 more source

Robust Maximum Likelihood Estimation

INFORMS Journal on Computing, 2019
In many applications, statistical estimators serve to derive conclusions from data, for example, in finance, medical decision making, and clinical trials. However, the conclusions are typically dependent on uncertainties in the data. We use robust optimization principles to provide robust maximum likelihood estimators that are protected against data ...
Dimitris Bertsimas, Omid Nohadani
openaire   +2 more sources

H∞ ROBUST LINEAR ESTIMATOR

IFAC Proceedings Volumes, 1990
Abstract An H ∞ approach is considered to the problem of designing a robust linear estimator for discrete time stationary systems. This represents a new class of estimation problem motivated by the need to keep the estimation error spectrum small over a range of frequencies. There follows a brief review of the previous work, a comparison between the
M.J. Grimble, D. Ho, A. Elsayed
openaire   +1 more source