Results 31 to 40 of about 14,830,215 (249)

SOME METHODS FOR CAUSAL INFERENCE, WITH APPLICATION TO AN OBSERVATIONAL EPILEPSY DATA SET

open access: yes, 2021
N/ACausal inference attempts to attribute a causal mechanism to a treatment in an observational study. Attributing cause is a major focus of research in bio-statistics and application to observational biomedical studies.
Wang, Mengyao
core  

Perbandingan Inferensi Kausal Versi Donald Campbell dengan Donald Rubin

open access: yesBuletin Psikologi, 2018
In a psychological experiment the manipulation of independent variable is deliberatelyintroduced to observe its effects on the dependent variable. The cause-effect relationshipthen is infered.
T Dicky Hastjarjo
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Development of a causal model of self-regulated learning by students at Loei Rajabhat University

open access: yesFrontiers in Education
IntroductionSelf-regulated learning is an active process in which learners employ self-directed behaviors, thoughts, and actions to attain learning objectives.
Anuphum Kumyoung   +4 more
doaj   +1 more source

Causal inference using regression-based statistical control: Confusion in Econometrics

open access: yesJournal of Data and Information Science, 2023
Regression is a widely used econometric tool in research. In observational studies, based on a number of assumptions, regression-based statistical control methods attempt to analyze the causation between treatment and outcome by adding control variables.
Chao Fan, Yu Guang
doaj   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider   +15 more
wiley   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

Beyond Covariation: Cues to Causal Structure [PDF]

open access: yes, 2010
Causal induction has two components: learning about the structure of causal models and learning about causal strength and other quantitative parameters. This chapter argues for several interconnected theses.
Hagmaye, Y   +3 more
core  

simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data

open access: yesJournal of Statistical Software, 2017
The simcausal R package is a tool for specification and simulation of complex longitudinal data structures that are based on non-parametric structural equation models. The package aims to provide a flexible tool for simplifying the conduct of transparent
Oleg Sofrygin   +2 more
doaj   +1 more source

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