Results 61 to 70 of about 58,855 (160)
Semiparametric Trending Panel Data Models with Cross-Sectional Dependence [PDF]
A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it allows for the cross-sectional dependence in both the regressors and the residuals.
Degui Li, Jia Chen, Jiti Gao
core
What's new? While ultraviolet radiation from the sun is the main risk factor for non‐melanoma skin cancer (NMSC), additional factors contribute to NMSC development. The present study examined the impact of occupational radiation exposure on NMSC risk among radiation workers in the United Kingdom.
Nezahat Hunter, Richard Haylock
wiley +1 more source
What's new? Rising cancer incidence in the United States is associated with an increased demand on intensive care units (ICUs). Critically ill cancer patients, however, often rely on life‐sustaining therapies, which are linked to greater ICU mortality.
João Matos +6 more
wiley +1 more source
ABSTRACT Replication is essential to reliable and consistent scientific discovery in high‐throughput experiments. Quantifying the replicability of scientific discoveries and identifying sources of irreproducibility have become important tasks for quality control and data integration.
Monia Ranalli +3 more
wiley +1 more source
A Tutorial on Optimal Dynamic Treatment Regimes
ABSTRACT A dynamic treatment regime (DTR) is a sequence of treatment decision rules tailored to an individual's evolving status over time. In precision medicine, much focus has been placed on finding an optimal DTR which, if followed by everyone in the population, would yield the best outcome on average; and extensive investigations have been conducted
Chunyu Wang, Brian D. M. Tom
wiley +1 more source
Efficient Semiparametric Estimation of Quantile Treatment Effects [PDF]
This paper presents calculations of semiparametric efficiency bounds for quantile treatment effects parameters when selection to treatment is based on observable characteristics.
Sergio Firpo
core
ABSTRACT Confounding bias and selection bias are two major challenges in causal inference with observational data. While numerous methods have been developed to mitigate confounding bias, they often assume that the data are representative of the study population and ignore the potential selection bias introduced during data collection.
Wei Liang, Changbao Wu
wiley +1 more source
Recanting Twins: Addressing Intermediate Confounding in Mediation Analysis
ABSTRACT The presence of intermediate confounders, also called recanting witnesses, is a fundamental challenge to the investigation of causal mechanisms in mediation analysis, preventing the identification of natural path‐specific effects. Common alternatives (such as randomizational interventional effects) are problematic because they can take non ...
Tat‐Thang Vo +4 more
wiley +1 more source
Treatment Effect Heterogeneity of Farmers Participating in Cooperatives
ABSTRACT Despite the many studies providing evidence of the benefits of cooperatives, most small farms and farm households, particularly in transition economies, do not participate in them. This study analyses the effect of cooperative activity on farm performance using a large‐scale farm survey conducted in Armenia. In addition, it addresses the issue
Drini Imami +4 more
wiley +1 more source
Parametric and Semi-parametric Estimations of the Return to Schooling in South Africa [PDF]
This paper estimates return to schooling for african and coloured women in South Africa. It compares parametric and semiparametric estimates of the sample selection model for the case of return to schooling.
Claudia Sanhueza, Sonia Bhalotra
core

