[HTML][HTML] Longitudinal association between hippocampus atrophy and episodic-memory decline

T Gorbach, S Pudas, A Lundquist, G Orädd… - Neurobiology of …, 2017 - Elsevier
There is marked variability in both onset and rate of episodic-memory decline in aging.
Structural magnetic resonance imaging studies have revealed that the extent of age-related …

[HTML][HTML] A longitudinal study on social support, social participation, and older Europeans' Quality of life

SK Lestari, X De Luna, M Eriksson, G Malmberg… - SSM-population …, 2021 - Elsevier
The association between quality of life (QoL) and social relationships is well established.
This paper further analyses whether and how participation in social activities as well as …

From experimentation to scaling: what shapes the funnel of AI adoption?

N Ameye, J Bughin… - Economics of Innovation …, 2024 - Taylor & Francis
Firms tend to manage the diffusion of complex and uncertain technologies through a 'funnel',
whereby firms first experiment (test and learn), then decide to exploit and scale technology …

Exact parametric causal mediation analysis for a binary outcome with a binary mediator

M Doretti, M Raggi, E Stanghellini - Statistical Methods & Applications, 2022 - Springer
With reference to causal mediation analysis, a parametric expression for natural direct and
indirect effects is derived for the setting of a binary outcome with a binary mediator, both …

Sensitivity analysis for unobserved confounding of direct and indirect effects using uncertainty intervals

A Lindmark, X de Luna, M Eriksson - Statistics in medicine, 2018 - Wiley Online Library
To estimate direct and indirect effects of an exposure on an outcome from observed data,
strong assumptions about unconfoundedness are required. Since these assumptions cannot …

Double robust estimation of functional outcomes with data missing at random

X Liu, K Ecker, L Schelin, X de Luna - arXiv preprint arXiv:2411.17224, 2024 - arxiv.org
We present and study semi-parametric estimators for the mean of functional outcomes in
situations where some of these outcomes are missing and covariate information is available …

Causal inference accounting for unobserved confounding after outcome regression and doubly robust estimation

M Genbäck, X de Luna - Biometrics, 2019 - Wiley Online Library
Causal inference with observational data can be performed under an assumption of no
unobserved confounders (unconfoundedness assumption). There is, however, seldom clear …

Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation

A Lindmark - Statistical Methods & Applications, 2022 - Springer
Causal mediation analysis is used to decompose the total effect of an exposure on an
outcome into an indirect effect, taking the path through an intermediate variable, and a direct …

Regularization and variable selection in Heckman selection model

EO Ogundimu - Statistical Papers, 2022 - Springer
Sample selection arises when the outcome of interest is partially observed in a study. A
common challenge is the requirement for exclusion restrictions. That is, some of the …

Predictors of decline in self-reported health: addressing non-ignorable dropout in longitudinal studies of aging

M Genbäck, N Ng, E Stanghellini, X de Luna - European Journal of Ageing, 2018 - Springer
Predictors of decline in health in older populations have been investigated in multiple
studies before. Most longitudinal studies of aging, however, assume that dropout at follow …