Results 101 to 110 of about 620,297 (279)

Marginal Effects in Multivariate Probit and Kindred Discrete and Count Outcome Models, with Applications in Health Economics [PDF]

Estimation of marginal or partial effects of covariates x on various conditional parameters or functionals is often the main target of applied microeconometric analysis.
John Mullahy
core  

Evaluation of Error Rate Estimators in Discriminant Analysis with Multivariate Binary Variables [PDF]

American Journal of Theoretical and Applied Statistics, 2016
Classification problems often suffers from small samples in conjunction with large number of features, which makes error estimation problematic. When a sample is small, there is insufficient data to split the sample and the same data are used for both classifier design and error estimation.
openaire   +1 more source

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis‐Associated Interstitial Lung Disease Risk

Arthritis Care &Research, Accepted Article.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase (MMP)‐7, and serum anti‐malondialdehyde‐acetaldehyde (anti‐MAA) antibody for RA‐associated interstitial lung disease risk stratification. Methods Using a multicenter cohort of US veterans with RA, we performed a cross‐
Kelsey Coziahr, Austin M. Wheeler, Brent A. Luedders, Michael Duryee, Halie Frideres, Katherine D. Wysham, Grant W. Cannon, Gary Kunkel, Dana P. Ascherman, Paul A. Monach, Gail S. Kerr, Andreas M. Reimold, Scott M. Matson, Joshua F. Baker, Geoffrey M. Thiele, Ted R. Mikuls, Bryant R. England   +16 more
wiley   +1 more source

Statistical Analysis of the Three-Dimensional Data of Software Metrics RFC, CBO, and WMC that are not Normally Distributed

Proceedings of the International Conference on Applied Innovations in IT
Empirical data of RFC (response for a class), CBO (coupling between object classes), and WMC (weighted methods per class) software metrics, that can be used for estimation of software quality, deviate from normality.
Sergiy Prykhodko, Lidiia Makarova, Andrii Pukhalevych   +2 more
doaj   +1 more source

Multiple Comparisons using Composite Likelihood in Clustered Data [PDF]

, 2015
We study the problem of multiple hypothesis testing for multidimensional data when inter-correlations are present. The problem of multiple comparisons is common in many applications.
Azadbakhsh, Mahdis, Gao, Xin, Jankowski, Hanna   +2 more
core  

The temporal trends and short‐ and long‐term mortality of people with acute myocardial infarction and rheumatoid arthritis: a nationwide cohort study

Arthritis Care &Research, Accepted Article.
Aims We investigated whether a diagnosis of rheumatoid arthritis (RA) affects the quality of inpatient acute myocardial infarction (AMI) care and long‐term mortality post‐AMI. Methods We analysed data from 784,091 adults, 6,047 with a diagnosis of RA, from England and Wales hospitalised with AMI between 2005 and 2019 from the MINAP registry, linked ...
Megan Butler, Nicholas Weight, Muhammad Rashid, Rodrigo Bagur, Purvi Parwani, Samantha Hider, Edward Roddy, Robert Butler, Mamas A Mamas   +8 more
wiley   +1 more source

An Effective Approach for Reliability-Based Sensitivity Analysis with the Principle of Maximum Entropy and Fractional Moments

Entropy, 2019
The reliability-based sensitivity analysis requires to recursively evaluate a multivariate structural model for many failure probability levels. This is in general a computationally intensive task due to irregular integrations used to define the ...
Xufang Zhang, Jiankai Liu, Ying Yan, Mahesh Pandey   +3 more
doaj   +1 more source

Parametric estimation of the driving L\'evy process of multivariate CARMA processes from discrete observations

, 2012
We consider the parametric estimation of the driving L\'evy process of a multivariate continuous-time autoregressive moving average (MCARMA) process, which is observed on the discrete time grid $(0,h,2h,...)$.
Apostol, Applebaum, Barndorff-Nielsen, Barndorff-Nielsen, Bauer, Benth, Brockwell, Brockwell, Brockwell, Brockwell, Brockwell, Brockwell, Deuflhard, Doob, Eckhard Schlemm, Figueroa-López, Gugushvili, Hall, Hansen, Jacod, Jacod, Kailath, Kailath, Klenke, Krengel, LeVeque, Marquardt, Marquardt, Masuda, Mokkadem, Newey, Ngo, Ogihara, Peter J. Brockwell, Protter, Rajput, Rosenblatt, Sato, Schlemm, Shimizu, Shiryaev, Stone, Todorov, Tucker, van der Vaart   +44 more
core   +1 more source

Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus

Arthritis Care &Research, Accepted Article.
Background Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined: 1) associations between economic insecurities and PROs; 2) the impact of screening and addressing economic insecurities during ...
Jay Patel, Tripti Singh, Meredith Ingersoll, Shelby Gomez, Amanda Weber, Sarah E. Panzer, Sancia Ferguson, Christie M. Bartels, Shivani Garg   +8 more
wiley   +1 more source

MODIFICATION OF THE DECOMPOSITION METHOD OF CONSTRUCTING MULTIVARIATE POLYNOMIAL REGRESSION WHICH IS LINEAR WITH RESPECT TO UNKNOWN COEFFICIENTS

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
The authors created a universal method of constructing multivariate polynomial regression given by a redundant representation. The method is synthetic, it organically combines a decomposition method and the modified group method of data handling.
Alexander Pavlov, Maxim Holovchenko, Valeriia Drozd   +2 more
doaj   +1 more source