Showing 1 - 10 of 344
Abstract The paper considers the properties of and relations between confounding and effect modification from the … of confounding depends on how the exposure was assigned; the presence of effect modification does not. The possibility of … confounding without effect modification and vice versa is discussed both with respect to distribution and measure. Discussion is …
Persistent link: https://www.econbiz.de/10014590578
Abstract This paper reviews concepts, principles, and tools that have led to a coherent mathematical theory that … unifies the graphical, structural, and potential outcome approaches to causal inference. The theory provides solutions to a … number of pending problems in causal analysis, including questions of confounding control, policy analysis, mediation …
Persistent link: https://www.econbiz.de/10014610813
Abstract Unmeasured confounding is one of the most important threats to the validity of observational studies. In this … paper we scrutinize a recently proposed sensitivity analysis for unmeasured confounding. The analysis requires specification … implications of this sharp region for the interpretation of the E-value. We illustrate the theory with a real data example and a …
Persistent link: https://www.econbiz.de/10014610900
Abstract Analysts often use data-driven approaches to supplement their knowledge when selecting covariates for effect estimation. Multiple variable selection procedures for causal effect estimation have been devised in recent years, but additional developments are still required to adequately...
Persistent link: https://www.econbiz.de/10014610915
measurement and confounding. We describe two sets of conditions under which adjusting for a non-deferentially mismeasured proxy …
Persistent link: https://www.econbiz.de/10014610918
Abstract Residual confounding is a common source of bias in observational studies. In this article, we build upon a … series of sensitivity analyses methods for residual confounding developed by Brumback et al. and Chiba whose sensitivity …
Persistent link: https://www.econbiz.de/10014610935
digitization and more specifically big data analytics (BDA) and data science (DS) on organizations with a special emphasis on … review of the literature. Findings The development of analytics skills shall not pertain to data scientists only, it must … analytics and data science (BDADS) seems to collide with the dominant “functional silo design” that characterizes business …
Persistent link: https://www.econbiz.de/10014688640
, different mechanistic forms of interaction, when interaction is robust to unmeasured confounding, interaction for continuous …
Persistent link: https://www.econbiz.de/10014590592
structured into theory sections and example sections. The former are intended to serve as a brief but self-consistent tutorial in …
Persistent link: https://www.econbiz.de/10014590607
Abstract This paper describes a targeted maximum likelihood estimator (TMLE) for the parameters of longitudinal static and dynamic marginal structural models. We consider a longitudinal data structure consisting of baseline covariates, time-dependent intervention nodes, intermediate...
Persistent link: https://www.econbiz.de/10014610797