Results 11 to 20 of about 27,731,435 (252)

Causal diagrams, the placebo effect, and the expectation effect

International Journal of General Medicine, 2013
Eyal Shahar,1 Doron J Shahar2 1Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, 2Department of Mathematics, College of Science, University of Arizona, Tucson, AZ, USA Abstract: Using causal diagrams, a formal ...
Shahar E, Shahar DJ
doaj   +1 more source

Delay and knowledge mediation in human causal reasoning [PDF]

, 2002
Contemporary theories of causal induction have focussed largely on the question of how evidence in the form of covariations between causes and effects is used to compute measures of causal strength.
Buehner, Marc
core   +6 more sources

Exploring the Causal Impact of Age and Nighttime Driving on Road Traffic Injuries among Elderly Drivers: A Bayesian LASSO Approach [PDF]

Bulletin of Emergency and Trauma, 2023
Objective: To determine the causal relationship between aging and nighttime driving and the odds of injuryamong elderly drivers.Methods: In this cross-sectional study, 5460 car accidents were investigated from 2015 to 2016.
Fatemeh Jahanjoo, Homayoun Sadeghi-Bazargani, Seyyed Teymoor Hosseini, Mina Goletsani, Mahdi Rezaei, Kavous Shahsavari, Hamid Soori, Mohammad Jafarabadi   +7 more
doaj   +1 more source

Genome-wide Association Study of Estradiol Levels and the Causal Effect of Estradiol on Bone Mineral Density

medRxiv, 2021
Context. Estradiol is the primary female sex hormone and plays an important role for skeletal health in both sexes. Several enzymes are involved in estradiol metabolism but few genome-wide association studies (GWAS) have been performed to characterize ...
D. Schmitz, W. Ek, Elin Berggren, J. Hoglund, T. Karlsson, Å. Johansson   +5 more
semanticscholar   +1 more source

Causal effect on a target population: A sensitivity analysis to handle missing covariates [PDF]

Journal of Causal Inference, 2021
Randomized controlled trials (RCTs) are often considered the gold standard for estimating causal effect, but they may lack external validity when the population eligible to the RCT is substantially different from the target population.
B. Colnet, J. Josse, G. Varoquaux, E. Scornet   +3 more
semanticscholar   +1 more source

Causal relationships between COVID-19 and osteoporosis: a two-sample Mendelian randomization study in European population

Frontiers in Public Health, 2023
IntroductionThe causal relationship between Coronavirus disease 2019 (COVID-19) and osteoporosis (OP) remains uncertain. We aimed to assess the effect of COVID-19 severity (severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, COVID-19 ...
Kai Zhang, Wei Shi, Xinglong Zhang, Xinglong Zhang, Ran Pang, Xinyu Liang, Qian Xu, Chunlei Xu, Xin Wan, Wenhao Cui, Wenhao Cui, Dong Li, Zhaohui Jiang, Zhengxuan Liu, Hui Li, Huafeng Zhang, Zhijun Li   +16 more
doaj   +1 more source

EFFECT OF FARMING TECHNOLOGIES INTENSIFICATION ON WHEAT YIELD IN THE DRY STEPPE OF SIBERIA: AN ANALYSIS BASED ON THE METHOD OF PROPENSITY SCORE MATCHING

Siberian Journal of Life Sciences and Agriculture, 2022
The study examines the effect of crop production technology intensification on wheat yield under drought conditions. The causal effect of fertilizers and herbicides usage was quantified based on a dataset of reports from 196 farms located in the Kulunda ...
Kirill O. Tarasov, Elena V. Ponkina, Aliya B. Nugumanova   +2 more
doaj   +1 more source

Mendelian randomization study reveals a causal relationship between rheumatoid arthritis and risk for pre-eclampsia

Frontiers in Immunology, 2022
BackgroundEpidemiological observational studies have investigated the relationship between rheumatoid arthritis(RA) and pre-eclampsia, but no consistent conclusions were obtained due to various limitations.
Dingyi Zhang, Dingyi Zhang, Ying Hu, Ying Hu, Weijie Guo, Yang Song, Lin Yang, Shuhan Yang, Shuhan Yang, Taoaixin Ou, Taoaixin Ou, Yanxu Liu, Yanxu Liu, Yaoyao Zhang   +13 more
doaj   +1 more source

Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables

IEEE Transactions on Neural Networks and Learning Systems, 2022
Causal effect estimation from observational data is a crucial but challenging task. Currently, only a limited number of data-driven causal effect estimation methods are available.
Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, T. D. Le, Ji-Xue Liu   +5 more
semanticscholar   +1 more source

Causal effect of COVID‐19 on Alzheimer's disease: A Mendelian randomization study

Journal of Medical Virology, 2022
It was reported that severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection may cause brain size reduction and cognitive decline. Whether COVID‐19 may contribute to the development of Alzheimer's disease (AD) is not known.
A. Baranova, Hong-Bao Cao, Fu-Quan Zhang
semanticscholar   +1 more source