Literature DB >> 12493654

Data dredging, bias, or confounding.

George Davey Smith, Shah Ebrahim.   

Abstract

Mesh:

Year:  2002        PMID: 12493654      PMCID: PMC1124898          DOI: 10.1136/bmj.325.7378.1437

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


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  12 in total

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2.  Estrogen replacement therapy and coronary heart disease: a quantitative assessment of the epidemiologic evidence.

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3.  Relation between plasma ascorbic acid and mortality in men and women in EPIC-Norfolk prospective study: a prospective population study. European Prospective Investigation into Cancer and Nutrition.

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4.  Carcinogenic and endocrine disrupting effects of cigarette smoke and risk of breast cancer.

Authors:  Pierre R Band; Nhu D Le; Raymond Fang; Michèle Deschamps
Journal:  Lancet       Date:  2002-10-05       Impact factor: 79.321

5.  Psychological stress and cardiovascular disease: empirical demonstration of bias in a prospective observational study of Scottish men.

Authors:  John Macleod; George Davey Smith; Pauline Heslop; Chris Metcalfe; Douglas Carroll; Carole Hart
Journal:  BMJ       Date:  2002-05-25

6.  The effect of vitamin E and beta carotene on the incidence of lung cancer and other cancers in male smokers.

Authors: 
Journal:  N Engl J Med       Date:  1994-04-14       Impact factor: 91.245

Review 7.  Evidence from randomised trials on the long-term effects of hormone replacement therapy.

Authors:  Valerie Beral; Emily Banks; Gillian Reeves
Journal:  Lancet       Date:  2002-09-21       Impact factor: 79.321

8.  MRC/BHF Heart Protection Study of antioxidant vitamin supplementation in 20,536 high-risk individuals: a randomised placebo-controlled trial.

Authors: 
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Review 9.  Can dietary beta-carotene materially reduce human cancer rates?

Authors:  R Peto; R Doll; J D Buckley; M B Sporn
Journal:  Nature       Date:  1981-03-19       Impact factor: 49.962

10.  Alcohol, tobacco and breast cancer--collaborative reanalysis of individual data from 53 epidemiological studies, including 58,515 women with breast cancer and 95,067 women without the disease.

Authors:  N Hamajima; K Hirose; K Tajima; T Rohan; E E Calle; C W Heath; R J Coates; J M Liff; R Talamini; N Chantarakul; S Koetsawang; D Rachawat; A Morabia; L Schuman; W Stewart; M Szklo; C Bain; F Schofield; V Siskind; P Band; A J Coldman; R P Gallagher; T G Hislop; P Yang; L M Kolonel; A M Y Nomura; J Hu; K C Johnson; Y Mao; S De Sanjosé; N Lee; P Marchbanks; H W Ory; H B Peterson; H G Wilson; P A Wingo; K Ebeling; D Kunde; P Nishan; J L Hopper; G Colditz; V Gajalanski; N Martin; T Pardthaisong; S Silpisornkosol; C Theetranont; B Boosiri; S Chutivongse; P Jimakorn; P Virutamasen; C Wongsrichanalai; M Ewertz; H O Adami; L Bergkvist; C Magnusson; I Persson; J Chang-Claude; C Paul; D C G Skegg; G F S Spears; P Boyle; T Evstifeeva; J R Daling; W B Hutchinson; K Malone; E A Noonan; J L Stanford; D B Thomas; N S Weiss; E White; N Andrieu; A Brêmond; F Clavel; B Gairard; J Lansac; L Piana; R Renaud; A Izquierdo; P Viladiu; H R Cuevas; P Ontiveros; A Palet; S B Salazar; N Aristizabel; A Cuadros; L Tryggvadottir; H Tulinius; A Bachelot; M G Lê; J Peto; S Franceschi; F Lubin; B Modan; E Ron; Y Wax; G D Friedman; R A Hiatt; F Levi; T Bishop; K Kosmelj; M Primic-Zakelj; B Ravnihar; J Stare; W L Beeson; G Fraser; R D Bullbrook; J Cuzick; S W Duffy; I S Fentiman; J L Hayward; D Y Wang; A J McMichael; K McPherson; R L Hanson; M C Leske; M C Mahoney; P C Nasca; A O Varma; A L Weinstein; T R Moller; H Olsson; J Ranstam; R A Goldbohm; P A van den Brandt; R A Apelo; J Baens; J R de la Cruz; B Javier; L B Lacaya; C A Ngelangel; C La Vecchia; E Negri; E Marubini; M Ferraroni; M Gerber; S Richardson; C Segala; D Gatei; P Kenya; A Kungu; J G Mati; L A Brinton; R Hoover; C Schairer; R Spirtas; H P Lee; M A Rookus; F E van Leeuwen; J A Schoenberg; M McCredie; M D Gammon; E A Clarke; L Jones; A Neil; M Vessey; D Yeates; P Appleby; E Banks; V Beral; D Bull; B Crossley; A Goodill; J Green; C Hermon; T Key; N Langston; C Lewis; G Reeves; R Collins; R Doll; R Peto; K Mabuchi; D Preston; P Hannaford; C Kay; L Rosero-Bixby; Y T Gao; F Jin; J-M Yuan; H Y Wei; T Yun; C Zhiheng; G Berry; J Cooper Booth; T Jelihovsky; R MacLennan; R Shearman; Q-S Wang; C-J Baines; A B Miller; C Wall; E Lund; H Stalsberg; X O Shu; W Zheng; K Katsouyanni; A Trichopoulou; D Trichopoulos; A Dabancens; L Martinez; R Molina; O Salas; F E Alexander; K Anderson; A R Folsom; B S Hulka; L Bernstein; S Enger; R W Haile; A Paganini-Hill; M C Pike; R K Ross; G Ursin; M C Yu; M P Longnecker; P Newcomb; L Bergkvist; A Kalache; T M M Farley; S Holck; O Meirik
Journal:  Br J Cancer       Date:  2002-11-18       Impact factor: 7.640

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  77 in total

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Review 4.  Hormones and endocrine-disrupting chemicals: low-dose effects and nonmonotonic dose responses.

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Journal:  J Epidemiol Community Health       Date:  2006-05       Impact factor: 3.710

6.  Believability of relative risks and odds ratios in abstracts: cross sectional study.

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Review 7.  Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?

Authors:  Shah Ebrahim; George Davey Smith
Journal:  Hum Genet       Date:  2007-11-23       Impact factor: 4.132

8.  Confounding in publications of observational intervention studies.

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Journal:  Eur J Epidemiol       Date:  2007-05-05       Impact factor: 8.082

Review 9.  Top ten errors of statistical analysis in observational studies for cancer research.

Authors:  A Carmona-Bayonas; P Jimenez-Fonseca; A Fernández-Somoano; F Álvarez-Manceñido; E Castañón; A Custodio; F A de la Peña; R M Payo; L P Valiente
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10.  Conducting a Reproducible Mendelian Randomization Analysis Using the R Analytic Statistical Environment.

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Journal:  Curr Protoc Hum Genet       Date:  2019-01-15
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