Results 101 to 110 of about 884,004 (326)
A redescending M-estimator approach for outlier-resilient modeling
The OLS model is built on the assumption of normality in the distribution of error terms. However, this assumption can be easily violated, especially when there are outliers in the data.
Aamir Raza +4 more
doaj +1 more source
Objective Reports have linked both high and low serum uric acid (SUA) levels to adverse health outcomes. This study aimed to establish a reference interval for SUA in older adults and assessed its association with clinically relevant outcomes in relatively healthy, community‐dwelling individuals aged ≥70 years old.
Amanda J. Rickard +15 more
wiley +1 more source
This paper introduces the rank-based estimation method to modelling the Cobb-Douglas production function as an alternative to the least squares approach.
Henry De-Graft Acquah
doaj +1 more source
Wavelet Estimation of Time Series Regression with Long Memory Processes [PDF]
This paper studies the estimation of time series regression when both regressors and disturbances have long memory. In contrast with the frequency domain estimation as in Robinson and Hidalgo (1997), we propose to estimate the same regression model with ...
Haibin Wu
core
Kernel-Based Regularized Least Squares in R (KRLS) and Stata (krls)
The Stata package krls as well as the R package KRLS implement kernel-based regularized least squares (KRLS), a machine learning method described in Hainmueller and Hazlett (2014) that allows users to tackle regression and classification problems without
Jeremy Ferwerda +2 more
semanticscholar +1 more source
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 +14 more
wiley +1 more source
No penalty no tears: Least squares in high-dimensional linear models [PDF]
Ordinary least squares (OLS) is the default method for fitting linear models, but is not applicable for problems with dimensionality larger than the sample size.
Dunson, David +2 more
core +1 more source
Objective Foot orthoses are thought to improve pain by potentially modifying internal mechanical forces. To test this, we explored whether foot orthoses can modify patterns of bone marrow lesions (BMLs) in people with midfoot pain. Methods Forty‐two people were recruited with midfoot pain, and magnetic resonance imaging–confirmed midfoot BMLs ...
Jill Halstead +4 more
wiley +1 more source
Economic Returns to Schooling for China’s Korean Minority [PDF]
This paper examines economic returns to schooling for China’s Korean minority in the urban labour market using ordinary least squares (OLS) and two-stage least squares.
Russell Smyth, vinod Mishra
core
Financial Distress and Its Determinants in Rheumatoid Arthritis
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent prolonged use of expensive disease‐modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or noninflammatory musculoskeletal disease (NIMSKD) completing the ...
Amber Brown Keebler +5 more
wiley +1 more source

