Results 41 to 50 of about 104,768 (268)

On the implied weights of linear regression for causal inference

Biometrika, 2022
Summary A basic principle in the design of observational studies is to approximate the randomized experiment that would have been conducted under ideal circumstances. At present, linear regression models are commonly used to analyse observational data and estimate causal effects.
Chattopadhyay, Ambarish, Zubizarreta, José R.   +1 more
openaire   +2 more sources

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris, Priya B. Shetty, Olga A. Taylor, Elizabeth G. Atkinson, Melissa A. Richard, M. Monica Gramatges, Mark Zobeck, Sandi Pruitt, Amy Hughes, M. Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Han Chen, Bing Yu, Philip J. Lupo, Karen R. Rabin, Michael E. Scheurer, Austin L. Brown, The REDIAL Consortium   +24 more
wiley   +1 more source

Fitting Additive Binomial Regression Models with the R Package blm

Journal of Statistical Software, 2013
The R package blm provides functions for fitting a family of additive regression models to binary data. The included models are the binomial linear model, in which all covariates have additive effects, and the linear-expit (lexpit) model, which allows ...
Stephanie Kovalchik, Ravi Varadhan
doaj   +1 more source

Development and Implementation of a Disease‐Targeted Storybook as a Clinical Tool for Children With Acute Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin, Usanarat Anurathapan, Rawiwan Roongpraiwan, Potchanee Dandamrongrak, Siriporn Nakhonchai, Pawin Numthavaj, Vilawan Chirdkiatgumchai   +6 more
wiley   +1 more source

Large Sample Theory for Some Ridge-Type Regression Estimators

Stats
This paper provides a large sample theory for some ridge-type multiple linear regression estimators, including Liu-type regression estimators, when the number of predictors is fixed.
Yu Jin, David J. Olive
doaj   +1 more source

Improvement of Sickle Cell Disease Care Mitigates the Healthcare Utilization Induced by Increased Prevalence: Experience of a Tertiary Pediatric Center

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) has undergone major changes in the last decades. Its prevalence has been steadily increasing and numerous advances have been made in the management of the disease. However, the effect in real‐life setting of these major changes is unknown, particularly in a Canadian environment. Procedure We aimed to assess
Maude Cigna, Alexia Muresan, Estelle Lecluze, Karine Leduc, Nathalie Fournier, Maria Tamer, Jean‐François Delisle, Jeremi Charbonneau, Annie Viau, Jessica Darilus, Marie‐Joëlle Doré‐Bergeron, Valérie Arsenault, Evelyne Doyon‐Trottier, Stéphanie Forte, Nancy Robitaille, Yves Pastore, Thomas Pincez   +16 more
wiley   +1 more source

Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction

Journal of Causal Inference, 2019
Often the research interest in causal inference is on the regression causal effect, which is the mean difference in the potential outcomes conditional on the covariates. In this paper, we use sufficient dimension reduction to estimate a lower dimensional
Luo Wei, Wu Wenbo, Zhu Yeying
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Wavelet discrete transform, ANFIS and linear regression for short-term time series prediction of air temperature

IJAIN (International Journal of Advances in Intelligent Informatics), 2017
This paper investigates the ability of Discrete Wavelet Transform and Adaptive Network-Based Fuzzy Inference System in time-series data modeling of weather parameters.
Devi Munandar
doaj   +1 more source