Confounding in epidemiological studies: why "independent" effects may not be all they seem.
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Sifting the evidence-what's wrong with significance tests?Are the effects of psychosocial exposures attributable to confounding? Evidence from a prospective observational study on psychological stress and mortalityAssociations of cannabis and cigarette use with psychotic experiences at age 18: findings from the Avon Longitudinal Study of Parents and ChildrenClustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiologyThe oxidative stress theory of disease: levels of evidence and epistemological aspects.Renal dysfunction, restrictive left ventricular filling pattern and mortality risk in patients admitted with heart failure: a 7-year follow-up studyMeta-analyses of observational data should be done with due care.Cannabis and psychosis: what is the link?Inflation in epidemiology: "the proof and measurement of association between two things" revisited.Migrant background and weight gain in early infancy: results from the German study sample of the IDEFICS study.Smoking and other health related behaviour in the social and environmental context.Frederick Banting and the opportunities of research by general practitioners.Alcohol consumption and mortality from all causes, coronary heart disease, and stroke: results from a prospective cohort study of scottish men with 21 years of follow upAssociation between breast feeding and growth: the Boyd-Orr cohort studyDoes material disadvantage explain the increased risk of adverse health, educational, and behavioural outcomes among children in lone parent households in Britain? A cross sectional study.What are the determinants of quality of life in people with cervical dystonia?Impact of measurement error in the study of sexually transmitted infectionsAre risk factors for atherothrombotic disease associated with back pain sickness absence? The Whitehall II Study.Seven mistakes and potential solutions in epidemiology, including a call for a World Council of Epidemiology and Causality.Research steps in the development and evaluation of public health interventionsImpaired lung function and mortality risk in men and women: findings from the Renfrew and Paisley prospective population study.Passive smoking and health: should we believe Philip Morris's "experts"?Birth weight and later socioeconomic disadvantage: evidence from the 1958 British cohort study.A 28 year follow up of mortality among women who smoked during pregnancy.Deprivation and late presentation of glaucoma: case-control study.Approaches for drawing causal inferences from epidemiological birth cohorts: a review.Nonsteroidal anti-inflammatory drugs and prostate cancer: a systematic review of the literature and meta-analysis.An investigation of the significance of residual confounding effect.Periodontitis and Systemic Disease: Association or Causality?Onset and recurrence of depression as predictors of cardiovascular prognosis in depressed acute coronary syndrome patients: a systematic review.Oral Disease and 3-Year Incidence of Frailty in Mexican Older Adults.Challenges and novel approaches for investigating molecular mediation.Transfusion and postoperative pneumonia in coronary artery bypass graft surgery: effect of the length of storage of transfused red cells.Confounding in epidemiological studiesSerum cholesterol and mortality in Finland.[Frederick Banting and the opportunities for research for general practitioners].Confounding in epidemiological studies.Systematic differences among never, occasional and moderate alcohol users in southern China, and its use in alcohol research: a cross-sectional study.RBC transfusion and postoperative length of stay in the hospital or the intensive care unit among patients undergoing coronary artery bypass graft surgery: the effects of confounding factors.An increase in depressive symptoms after myocardial infarction predicts new cardiac events irrespective of depressive symptoms before myocardial infarction.
P2860
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P2860
Confounding in epidemiological studies: why "independent" effects may not be all they seem.
description
1992 nî lūn-bûn
@nan
1992年の論文
@ja
1992年論文
@yue
1992年論文
@zh-hant
1992年論文
@zh-hk
1992年論文
@zh-mo
1992年論文
@zh-tw
1992年论文
@wuu
1992年论文
@zh
1992年论文
@zh-cn
name
Confounding in epidemiological ...... ects may not be all they seem.
@ast
Confounding in epidemiological ...... ects may not be all they seem.
@en
type
label
Confounding in epidemiological ...... ects may not be all they seem.
@ast
Confounding in epidemiological ...... ects may not be all they seem.
@en
prefLabel
Confounding in epidemiological ...... ects may not be all they seem.
@ast
Confounding in epidemiological ...... ects may not be all they seem.
@en
P2860
P356
P1433
P1476
Confounding in epidemiological ...... ects may not be all they seem.
@en
P2093
P2860
P304
P356
10.1136/BMJ.305.6856.757
P407
P577
1992-09-01T00:00:00Z