Results 91 to 100 of about 1,318,109 (301)

Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study

Data Science in Science
Tree-based learning methods, such as Random Forest and XGBoost, remain the gold standard for prediction in tabular data. Feature importance measures are frequently employed in feature selection and to evaluate the influence of features on the outcome ...
Andrés Romero, Jakob Schwerter, Florian Dumpert, Markus Pauly   +3 more
doaj   +1 more source

Evaluation of regression methods when immunological measurements are constrained by detection limits

BMC Immunology, 2008
Background The statistical analysis of immunological data may be complicated because precise quantitative levels cannot always be determined. Values below a given detection limit may not be observed (nondetects), and data with nondetects are called left ...
Yazdanbakhsh Maria, Hartgers Franca C, Uh Hae-Won, Houwing-Duistermaat Jeanine J   +3 more
doaj   +1 more source

Statistical disaggregation—A Monte Carlo approach for imputation under constraints

Scandinavian Journal of Statistics
AbstractEquality‐constrained models naturally arise in problems in which the measurements are taken at different levels of resolution. The challenge in this setting is that the models usually induce a joint distribution which is intractable. Resorting to instead sampling from the joint distribution by means of a Monte Carlo approach is also challenging.
Shenggang Hu, Hongsheng Dai, Fanlin Meng, Louis Aslett, Murray Pollock, Gareth O. Roberts   +5 more
openaire   +3 more sources

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach

Clinical Epidemiology, 2022
Chinchin Wang,1,2 Tyrel Stokes,3 Russell J Steele,3 Niels Wedderkopp,4 Ian Shrier1 1Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, H3T 1E2, Canada; 2Department of Epidemiology ...
Wang C, Stokes T, Steele RJ, Wedderkopp N, Shrier I   +4 more
doaj  

Hydroxychloroquine Associated With Lower Glomerular Filtration Rate Decline in Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) protects kidney function in lupus nephritis (LN) by preventing flares, yet some cohort studies show no significant benefit in kidney function with HCQ. Clarifying these conflicting findings by showing early and long‐term benefits of HCQ on kidney function preservation is critical.
Shivani Garg, Brad Rovin, Brad C. Astor, Tripti Singh, Fauzia Hollnagel, Megan Kuik, Lexie Kolton, Callie Saric, S. Sam Lim, Christie M. Bartels   +9 more
wiley   +1 more source

Long‐Term Opioids in Gout: A Matched Cohort Study From the Veterans Health Administration

Arthritis Care &Research, EarlyView.
Objective Though used frequently to treat flare, risk of long‐term opioid exposure in gout has not been well defined. In this study, we examined the hypothesis that people with gout are more likely than individuals without gout to be prescribed long‐term opioids over time.
Lindsay N. Helget, Bryant R. England, Punyasha Roul, Harlan Sayles, Tuhina Neogi, James R. O'Dell, Joshua F. Baker, Ted R. Mikuls   +7 more
wiley   +1 more source

Sequence imputation from low density single nucleotide polymorphism panel in a black poplar breeding population

BMC Genomics, 2019
Background Genomic selection accuracy increases with the use of high SNP (single nucleotide polymorphism) coverage. However, such gains in coverage come at high costs, preventing their prompt operational implementation by breeders.
Marie Pégard, Odile Rogier, Aurélie Bérard, Patricia Faivre-Rampant, Marie-Christine Le Paslier, Catherine Bastien, Véronique Jorge, Leopoldo Sánchez   +7 more
doaj   +1 more source

Virtual or In‐Person: Does It Matter? Comparing Pain, Function, Quality of Life, Self‐Efficacy, and Physical Function Outcomes of Virtual, Hybrid, and In‐Person Education and Exercise Program Participants

Arthritis Care &Research, EarlyView.
Objective This study aimed to determine if program format (in‐person, virtual, or hybrid) results in differences in 3‐month outcomes of pain, function, quality of life, self‐efficacy, and chair stands in a hip/knee osteoarthritis‐management program. Methods A secondary analysis of the Good Life with osteoArthritis in Denmark (GLA:D) Canada database was
Jill Van Damme, Vanina Dal Bello‐Haas, Ayse Kuspinar, Patricia Strachan, Michael Zywiel, James Young, Rhona McGlasson, Lisa C. Carlesso   +7 more
wiley   +1 more source

Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes.

PLoS Genetics, 2018
Meta-analysis of genetic association studies increases sample size and the power for mapping complex traits. Existing methods are mostly developed for datasets without missing values, i.e.
Yu Jiang, Sai Chen, Daniel McGuire, Daniel McGuire, Fang Chen, Mengzhen Liu, William G Iacono, John K Hewitt, John E Hokanson, Kenneth Krauter, Markku Laakso, Kevin W Li, Sharon M Lutz, Matthew McGue, Anita Pandit, Gregory J M Zajac, Michael Boehnke, Goncalo R Abecasis, Scott I Vrieze, Xiaowei Zhan, Bibo Jiang, Dajiang J Liu   +21 more
doaj   +1 more source