Literature DB >> 22827790

Confounding variables in epidemiologic studies: basics and beyond.

Farin Kamangar1.   

Abstract

This article discusses the importance, definition, and types of confounders in epidemiology. Methods to identify and address confounding are discussed, as well as their strengths and limitations. The article also describes the difference among confounders, mediators, and effect modifiers.

Mesh：

Year:  2012        PMID： 22827790     DOI： 012158/AIM.0014

Source DB:  PubMed          Journal:  Arch Iran Med        ISSN： 1029-2977            Impact factor:   1.354


  15 in total

1.  Are directed acyclic graphs (dags) an important tool to perform observational studies? reflections from a case in burned patients.

Authors:  R Machado-Rivera; E Mezones-Holguín
Journal:  Ann Burns Fire Disasters       Date:  2018-03-31

2.  Estimating the relative contribution of comorbidities in predicting health-related quality of life of people with multiple sclerosis.

Authors:  Lara Marie Pangan Lo; Bruce V Taylor; Tania Winzenberg; Andrew J Palmer; Leigh Blizzard; Hasnat Ahmad; Mohammad Akhtar Hussain; Ingrid van der Mei
Journal:  J Neurol       Date:  2020-09-02       Impact factor: 4.849

3.  Propensity score stratification using bootstrap aggregating classification trees analysis.

Authors:  Bambang Widjanarko Otok; Marsuddin Musa; Septia Devi Prihastuti Yasmirullah
Journal:  Heliyon       Date:  2020-07-10

4.  Comorbidities contribute substantially to the severity of common multiple sclerosis symptoms.

Authors:  Lara Marie Pangan Lo; Bruce V Taylor; Tania Winzenberg; Andrew J Palmer; Leigh Blizzard; Ingrid van der Mei
Journal:  J Neurol       Date:  2020-09-02       Impact factor: 4.849

Review 5.  Estimating the Gender Distribution of Patients with Wild-Type Transthyretin Amyloid Cardiomyopathy: A Systematic Review and Meta-Analysis.

Authors:  Florint Kroi; Nils Fischer; Ana Gezin; Mahmoud Hashim; Mark Hermannes Rozenbaum
Journal:  Cardiol Ther       Date:  2020-12-14

6.  Diabetes mellitus is associated with hepatocellular carcinoma: a retrospective case-control study in hepatitis endemic area.

Authors:  Ze Zheng; Chao Zhang; Jianhua Yan; Yanping Ruan; Xiaoyi Zhao; Xingting San; Yilei Mao; Qinghua Sun; Kezhong Zhang; Zhongjie Fan
Journal:  PLoS One       Date:  2013-12-26       Impact factor: 3.240

7.  Diabetes mellitus may affect the long-term survival of hepatitis B virus-related hepatocellular carcinoma patients after liver transplantation.

Authors:  Qing Zhang; Yong-Lin Deng; Chang Liu; Li-Hong Huang; Lei Shang; Xin-Guo Chen; Le-Tian Wang; Jin-Zan Du; Ying Wang; Pei-Xiao Wang; Hui Zhang; Zhong-Yang Shen
Journal:  World J Gastroenterol       Date:  2016-11-21       Impact factor: 5.742

8.  Sensitivity analysis for mistakenly adjusting for mediators in estimating total effect in observational studies.

Authors:  Tingting Wang; Hongkai Li; Ping Su; Yuanyuan Yu; Xiaoru Sun; Yi Liu; Zhongshang Yuan; Fuzhong Xue
Journal:  BMJ Open       Date:  2017-11-20       Impact factor: 2.692

9.  Association between egg consumption and cardiovascular disease events, diabetes and all-cause mortality.

Authors:  Jing Guo; Ditte A Hobbs; John R Cockcroft; Peter C Elwood; Janet E Pickering; Julie A Lovegrove; David I Givens
Journal:  Eur J Nutr       Date:  2017-11-02       Impact factor: 5.614

10.  Are lifestyle cardiovascular disease risk factors associated with pre-hypertension in 15-18 years rural Nigerian youth? A cross sectional study.

Authors:  N A Odunaiya; Q A Louw; K A Grimmer
Journal:  BMC Cardiovasc Disord       Date:  2015-11-04       Impact factor: 2.298
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