About: A proxy outcome approach for causal effect in observational studies: a simulation study

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scientific article published on 18 February 2014

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rdf:type	Item
description	videnskabelig artikel (da) article científic (ca) articolo scientifico (it) artigo científico (pt) bilimsel makale (tr) vedecký článok (sk) vetenskaplig artikel (sv) vědecký článek (cs) wetenschappelijk artikel (nl) wissenschaftlicher Artikel (de) научни чланак (sr) article scientifique (fr) artículu científicu espublizáu en 2014 (ast) наукова стаття, опублікована в лютому 2014 (uk) scientific article published on 18 February 2014 (en) مقالة علمية نشرت في 18 فبراير 2014 (ar)
publication date	wds:Q37627021-E1BB84F0-95CD-400D-9D9C-ECF8817E9632
publication date	2014-02-18 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q37627021-6E902023-F5B0-46DC-8D2C-6730C199FEFD
language of work or name	English
cites work	wds:Q37627021-02C2C8C4-DAF4-4F3F-837F-9701B9FA0FE9 wds:Q37627021-0C21755A-CFE9-4E70-AEE0-B0182E2BAD63 wds:Q37627021-24467953-3017-4984-A535-840CBB1505DA wds:Q37627021-2759A579-10A1-4A6A-B85C-CF5854CAAC32 wds:Q37627021-2B95525F-8460-453D-A8A1-CA2254A8DD00 wds:Q37627021-32769492-8B7F-4CE2-9C78-7526766276A7 wds:Q37627021-4739D64F-933A-4B8C-9FF8-2D83F6532054 wds:Q37627021-4AF22367-F675-4CA9-A5FA-78B6B84D4F0F wds:Q37627021-5395E948-DD75-4A69-852F-1B05874AD9A5 wds:Q37627021-56F4D0A9-F21E-4E18-A92A-202B239E6450 wds:Q37627021-70C015C8-5625-4FD4-9200-5C43D37E794E wds:Q37627021-764365D1-73B1-45E9-B5BB-A7C4D70110F9 wds:Q37627021-94A4E497-9D8D-4ADE-9EC9-26297D2DF230 wds:Q37627021-9A0F175A-AC0E-4080-9118-BDCF6276A1B6 wds:Q37627021-9BC60301-765A-4C53-9662-0D5E2B104684 wds:Q37627021-9E5FC8E4-4872-413E-9B7E-58A2A8176D17 wds:Q37627021-A49D4FE7-3AFD-4FE5-956B-E692BF36A465 wds:Q37627021-AE791A45-3667-4E83-AB01-0355FA84BAF1 wds:Q37627021-B6DEEE76-067E-433C-A4B6-9C0053CF3F15 wds:Q37627021-C0D8160E-A7C7-4843-9DDA-809FEB96AE7B wds:Q37627021-C2C23D07-91A6-4CCA-BAAB-EE5A54749387 wds:Q37627021-CFBA8840-D302-4B1F-B663-48FE509F8566 wds:Q37627021-D38565AA-ED86-4A02-89E8-ECAFEB2DFAAE wds:Q37627021-DC044317-3A9D-45EB-BD6D-932549EFD685 wds:Q37627021-DC155505-753F-41F0-BF52-46529B888DE6 wds:Q37627021-FED5C0F3-E7FB-48DD-BE53-9C4ABAD1C613
cites work	Multiple-bias modelling for analysis of observational data (with discussion) Personality and risk-taking: common biosocial factors Prevalence and correlates of DSM-IV alcohol abuse and dependence in Australia: findings of the 2007 National Survey of Mental Health and Wellbeing. Bias formulas for external adjustment and sensitivity analysis of unmeasured confounders. The epidemiology of co-occurring addictive and mental disorders: implications for prevention and service utilization. Bounding the bias of unmeasured factors with confounding and effect-modifying potentials. The sign of the unmeasured confounding bias under various standard populations. Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse Prevalence and comorbidity of major internalizing and externalizing problems among adolescents and adults presenting to substance abuse treatment An evaluation of the impact of a large reduction in alcohol prices on alcohol-related and all-cause mortality: time series analysis of a population-based natural experiment Evaluation of the impact on human salmonellosis of control measures targeted to Salmonella Enteritidis and Typhimurium in poultry breeding using time-series analysis and intervention models in France. The epidemiology, pathophysiology, and management of psychosocial risk factors in cardiac practice: the emerging field of behavioral cardiology Assessing the sensitivity of regression results to unmeasured confounders in observational studies Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders Bayesian sensitivity analysis for unmeasured confounding in observational studies. Prevalence, co-morbidity and correlates of mental disorders in the general population: results from the German Health Interview and Examination Survey (GHS). Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding Causal directed acyclic graphs and the direction of unmeasured confounding bias Alcohol consumption and health status of family members: health impacts without ingestion Observational research on alcohol use and chronic disease outcome: new approaches to counter biases. Adolescents in high-risk trajectory: clustering of risky behavior and the origins of socioeconomic health differentials. Causality in cancer epidemiology Confounding by dietary factors in case-control studies on the efficacy of cancer screening in Japan Confounding in publications of observational intervention studies. Does light alcohol consumption during pregnancy improve offspring's cognitive development?
author name string	wds:Q37627021-183E665C-D6BA-49B1-B942-E3B470A8D966 wds:Q37627021-2B7C070B-FAE6-47DA-89A6-7F549E21D25D wds:Q37627021-86BC3B9D-2A08-46C8-809E-A1056AB5FCC1
author name string	Wenbin Liang Andy H Lee Yuejen Zhao
rdfs:label	A proxy outcome approach for causal effect in observational studies: a simulation study (en) A proxy outcome approach for causal effect in observational studies: a simulation study (nl) A proxy outcome approach for causal effect in observational studies: a simulation study (ast)
skos:prefLabel	A proxy outcome approach for causal effect in observational studies: a simulation study (en) A proxy outcome approach for causal effect in observational studies: a simulation study (nl) A proxy outcome approach for causal effect in observational studies: a simulation study (ast)
name	A proxy outcome approach for causal effect in observational studies: a simulation study (en) A proxy outcome approach for causal effect in observational studies: a simulation study (nl) A proxy outcome approach for causal effect in observational studies: a simulation study (ast)
title	wds:Q37627021-C36551CC-D90F-4051-A1BD-FA4346369B5F
title	A proxy outcome approach for causal effect in observational studies: a simulation study (en)
page(s)	wds:Q37627021-933C8527-40DF-4226-9F10-13F3E4F53D46
page(s)	872435
instance of	wds:Q37627021-C08E36BE-3737-41E6-B0C2-E56B404BD23A
instance of	scholarly article
PubMed ID	wds:Q37627021-D194202D-A345-453F-B0B7-6A89E7A97B34
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/24695548
PubMed ID	24695548
published in	wds:Q37627021-15AF8317-CCCD-4390-BD8E-7C804333DDDC
published in	BioMed Research International
volume	wds:Q37627021-7BBF4748-7FC0-4F7F-B7E3-1A0043ED9014

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