Sensitivity and specificity of information criteria
Abstract Information criteria (ICs) based on penalized likelihood, such as Akaike's
information criterion (AIC), the Bayesian information criterion (BIC) and sample-size …
information criterion (AIC), the Bayesian information criterion (BIC) and sample-size …
On efficient adjustment in causal graphs
We consider estimation of a total causal effect from observational data via covariate
adjustment. Ideally, adjustment sets are selected based on a given causal graph, reflecting …
adjustment. Ideally, adjustment sets are selected based on a given causal graph, reflecting …
Examining plant uptake and translocation of emerging contaminants using machine learning: Implications to food security
When water and solutes enter the plant root through the epidermis, organic contaminants in
solution either cross the root membranes and transport through the vascular pathways to the …
solution either cross the root membranes and transport through the vascular pathways to the …
Optimizing customer repurchase intention through cognitive and affective experience: an insight of food delivery applications
Mobile food order applications have become a phenomenal disruption in the food delivery
industry. Customers demand better and more consistent experiences when making most …
industry. Customers demand better and more consistent experiences when making most …
Kinetic modeling of malondialdehyde reactivity in oil to simulate actual malondialdehyde formation upon lipid oxidation
A Vandemoortele, PM Heynderickx, L Leloup… - Food Research …, 2021 - Elsevier
The reactivity of malondialdehyde in saturated glycerol triheptanoate oil was studied over a
wide temperature range (298.15–453.15 K). With respect to the non-ideal character of a lipid …
wide temperature range (298.15–453.15 K). With respect to the non-ideal character of a lipid …
[HTML][HTML] Water quality predictions through linear regression-A brute force algorithm approach
Linear regression is one of the oldest statistical modeling approaches. Still, it is a valuable
tool, particularly when it is necessary to create forecast models with low sample sizes. When …
tool, particularly when it is necessary to create forecast models with low sample sizes. When …
Exploring metacognitions in health anxiety and chronic pain: a cross-sectional survey
Background The occurrence of health anxiety (HA) in chronic pain is associated with
adverse outcomes. As such, it is important to identify constructs that might influence HA and …
adverse outcomes. As such, it is important to identify constructs that might influence HA and …
[PDF][PDF] Graphical Tools for Efficient Causal Effect Estimation
L Henckel - 2021 - research-collection.ethz.ch
Questions of cause and effect are central to many areas of scientific research and policy
making. For example, by how much does societal mask-wearing reduce the transmission …
making. For example, by how much does societal mask-wearing reduce the transmission …
Causal model selection in epidemiology
J Lüschen - 2021 - media.suub.uni-bremen.de
In this thesis, I investigate two related types of causal model selection: confounder selection
and constraint-based causal discovery. The aim of confounder selection is to determine a …
and constraint-based causal discovery. The aim of confounder selection is to determine a …
소아완화의료를 이용한 사별부모의 생애말기 돌봄인식과 애도반응
김초희 - 2021 - s-space.snu.ac.kr
자녀가 중증질환으로 사망에 이르면 사별부모는 상실에 대한 정상적 반응인 애도반응을 겪게
되는데, 애도반응은 사별부모의 삶 전반에 영향을 미치며, 신체적 질병, 우울이나 불안, 사회적 …
되는데, 애도반응은 사별부모의 삶 전반에 영향을 미치며, 신체적 질병, 우울이나 불안, 사회적 …