Results 161 to 170 of about 753,997 (217)
Integrating Causal Inference with Graph Neural Networks for Alzheimer’s Disease Analysis
Pranay Peddi, Dhrubajyoti Ghosh
openalex +1 more source
Causal analysis of gastroesophageal reflux disease and esophageal cancer. [PDF]
Wang S, Li Z, Zhou Z, Kang M, Kang M.
europepmc +1 more source
Impact of treatment attendance on mental health outcomes within task-shared psychological treatments: a causal analysis from the PRIME India study. [PDF]
Dev S +4 more
europepmc +1 more source
Bone health, cardiovascular disease, and imaging outcomes in UK Biobank: a causal analysis. [PDF]
Condurache DG +10 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Physical Medicine and Rehabilitation Clinics of North America, 2002
This article reviews basic tort law concepts, which medical evaluators should be familiar with when working in the medicolegal environment. To facilitate medicolegal causal analysis, the concept of the health claim statement or argument is proposed. We describe medicolegal causal analysis model, which should assist the medical evaluator's determination
Michel, Lacerte, Pierre, Forcier
openaire +2 more sources
This article reviews basic tort law concepts, which medical evaluators should be familiar with when working in the medicolegal environment. To facilitate medicolegal causal analysis, the concept of the health claim statement or argument is proposed. We describe medicolegal causal analysis model, which should assist the medical evaluator's determination
Michel, Lacerte, Pierre, Forcier
openaire +2 more sources
Fifth International Conference on Application of Concurrency to System Design (ACSD'05), 2006
Perfectly synchronous systems immediately react to the inputs of their environment, which may lead to so-called causality cycles between actions and their trigger conditions. Algorithms to analyze the consistency of such cycles usually extend data types by an additional value to explicitly indicate unknown values.
Klaus Schneider 0001 +3 more
openaire +1 more source
Perfectly synchronous systems immediately react to the inputs of their environment, which may lead to so-called causality cycles between actions and their trigger conditions. Algorithms to analyze the consistency of such cycles usually extend data types by an additional value to explicitly indicate unknown values.
Klaus Schneider 0001 +3 more
openaire +1 more source
The Regression Analysis of Causal Paths
Biometrics, 1959The purpose of this presentation is to acquaint biologists and biometricians with an important tool, path analysis. This tool can be of help in dealing with complex causal networks. These often, though not always, prove amenable to common regression technics.
Turner, Malcolm E., Stevens, Charles D.
openaire +2 more sources

