Results 171 to 180 of about 1,312,626 (282)

Model selection for causal inference in missing exposure problems

Canadian Journal of Statistics, EarlyView.
Abstract In causal inference, properly selecting the propensity score (PS) model is an important topic and has been widely investigated in observational studies. However, there are very few studies investigating the model selection issue for causal inference when the exposure is missing at random (MAR). When the exposure variable contains missing data,
Yuliang Shi, Yeying Zhu, Joel A. Dubin
wiley   +1 more source

Estimation of Covariate Balancing Propensity Score Based on Outcome Adaptive Lasso. [PDF]

Biom J
Zhou Y, Tang L.
europepmc   +1 more source

Evaluating Vaginal Microbiome Effects on Antiretroviral Exposure in the Female Genital Tract Using Pharmacometric and Machine Learning Approaches

Clinical Pharmacology &Therapeutics, EarlyView.
Antiretroviral pre‐exposure prophylaxis (PrEP) is less effective in women than expected, partly because drug exposure within the female genital tract is variable and may be influenced by the vaginal microbiome. We developed an integrated pharmacometrics and machine learning framework to evaluate associations between vaginal microbiome composition and ...
Diqin Yan, Lindsey B. Collins, Christopher Staley, Flavia Kiweewa Matovu, Pamala Jacobson, Melanie Nicol, Shen Cheng   +6 more
wiley   +1 more source

Trends and Associated Factors of Malnutrition Among Adolescents With Diarrhoea in Bangladesh: A Retrospective Cross-Sectional Surveillance Study Using Adaptive LASSO. [PDF]

Health Sci Rep
Al Fidah MF, Islam MR, Bashar SJ, Amin R, Faruque ASG, Ahmed T, Nuzhat S.   +6 more
europepmc   +1 more source

Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley   +1 more source

Research note: An Adaptive Lasso-based genome-wide association study of blood and meat spots in chicken eggs. [PDF]

Poult Sci
Ma X, Chen X, Cheng X, Liu W, Ning Z.
europepmc   +1 more source

Firm‐Level Corporate Social Responsibility and Employees' Affective Outcomes: A Multilevel Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study advances research on corporate social responsibility (CSR) and employees' work attitudes by distinguishing between employee‐level CSR perceptions and firm‐level CSR practices. Prior research has mainly focused on how employees' perceptions of CSR relate to their affective outcomes; this study extends that perspective by jointly ...
Alexander C. Kraaij, Agnieszka Paruzel, Arnoud de Jong   +2 more
wiley   +1 more source

Adaptive Sparsening and Smoothing of the Treatment Model for Longitudinal Causal Inference Using Outcome-Adaptive LASSO and Marginal Fused LASSO. [PDF]

Stat Med
Schnitzer ME, Talbot D, Liu Y, Berger D, Wang G, O'Loughlin J, Sylvestre MP, Ertefaie A.   +7 more
europepmc   +1 more source

Re-evaluating composite scores: Adaptive Lasso variable selection for non-linear models. [PDF]

Stat, 2019
Kravitz ES, Carroll RJ.
europepmc   +1 more source

Forward-LASSO with Adaptive Shrinkage

, 2014
Both classical Forward Selection and the more modern Lasso provide compu-tationally feasible methods for performing variable selection in high dimensional regression problems involving many predictors.
Peter Radchenko, Gareth M. James
core