Application of credibility ceilings probes the robustness of meta-analyses of biomarkers and cancer risk.

[1]  J. Ioannidis.  Implausible results in human nutrition research , 2013, BMJ.

[2]  J. Ioannidis.  Clarifications on the application and interpretation of the test for excess significance and its extensions , 2013 .

[3]  J. Ioannidis.  Biomarker failures. , 2013, Clinical chemistry.

[4]  John P A Ioannidis,et al.  Is everything we eat associated with cancer? A systematic cookbook review. , 2013, The American journal of clinical nutrition.

[5]  J. Ioannidis,et al.  Evaluation of excess statistical significance in meta-analyses of 98 biomarker associations with cancer risk. , 2012, Journal of the National Cancer Institute.

[6]  John P A Ioannidis,et al.  Primary study authors of significant studies are more likely to believe that a strong association exists in a heterogeneous meta-analysis compared with methodologists. , 2012, Journal of clinical epidemiology.

[7]  J. Ioannidis,et al.  Minimal and null predictive effects for the most popular blood biomarkers of cardiovascular disease. , 2012, Circulation research.

[8]  J. Ioannidis,et al.  Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials , 2011, BMJ : British Medical Journal.

[9]  J. Ioannidis,et al.  Comparison of effect sizes associated with biomarkers reported in highly cited individual articles and in subsequent meta-analyses. , 2011, JAMA.

[10]  G. Guyatt,et al.  GRADE guidelines: a new series of articles in the Journal of Clinical Epidemiology. , 2011, Journal of clinical epidemiology.

[11]  U. Ekelund,et al.  A proposed method of bias adjustment for meta-analyses of published observational studies , 2010, International journal of epidemiology.

[12]  S. Sutton,et al.  Commentary: Adjusting for bias: a user's guide to performing plastic surgery on meta-analyses of observational studies , 2011 .

[13]  J. Chang-Claude,et al.  Meta-analyses of lignans and enterolignans in relation to breast cancer risk. , 2010, The American journal of clinical nutrition.

[14]  Ross J. Harris,et al.  Circulating Folate, Vitamin B12, Homocysteine, Vitamin B12 Transport Proteins, and Risk of Prostate Cancer: a Case-Control Study, Systematic Review, and Meta-analysis , 2010, Cancer Epidemiology, Biomarkers & Prevention.

[15]  Andrew W Roddam,et al.  Insulin-like growth factor 1 (IGF1), IGF binding protein 3 (IGFBP3), and breast cancer risk: pooled individual data analysis of 17 prospective studies , 2010, The Lancet. Oncology.

[16]  F. Clavel-Chapelon,et al.  Serum levels of IGF‐I, IGFBP‐3 and colorectal cancer risk: results from the EPIC cohort, plus a meta‐analysis of prospective studies , 2010, International journal of cancer.

[17]  Nicola Orsini,et al.  Vitamin B6 and risk of colorectal cancer: a meta-analysis of prospective studies. , 2010, JAMA.

[18]  Peizhan Chen,et al.  Meta-analysis of vitamin D, calcium and the prevention of breast cancer , 2010, Breast Cancer Research and Treatment.

[19]  H. Brenner,et al.  Meta-analysis of longitudinal studies: Serum vitamin D and prostate cancer risk. , 2009, Cancer epidemiology.

[20]  Li Yang,et al.  Urinary estrogen metabolites and prostate cancer: a case-control study and meta-analysis , 2009, Journal of experimental & clinical cancer research : CR.

[21]  L. Cai,et al.  Assessment of the relationship between Helicobacter pylori and lung cancer: a meta-analysis. , 2009, Archives of medical research.

[22]  V. Arndt,et al.  Meta‐analysis: longitudinal studies of serum vitamin D and colorectal cancer risk , 2009, Alimentary pharmacology & therapeutics.

[23]  W. Xu,et al.  IGF-I and IGFBP-3 and the risk of lung cancer: A meta-analysis based on nested case-control studies , 2009, Journal of experimental & clinical cancer research : CR.

[24]  P. Royston,et al.  Prognosis and prognostic research: application and impact of prognostic models in clinical practice , 2009, BMJ : British Medical Journal.

[25]  Ross J. Harris,et al.  Circulating insulin‐like growth factor peptides and prostate cancer risk: A systematic review and meta‐analysis , 2009, International journal of cancer.

[26]  S. Bent,et al.  The relation of alpha-linolenic acid to the risk of prostate cancer: a systematic review and meta-analysis. , 2009, The American journal of clinical nutrition.

[27]  J. Ioannidis,et al.  Synthesis of observational studies should consider credibility ceilings. , 2009, Journal of clinical epidemiology.

[28]  Ross J. Harris,et al.  Associations of circulating C-reactive protein and interleukin-6 with cancer risk: findings from two prospective cohorts and a meta-analysis , 2009, Cancer Causes & Control.

[29]  P. Boyle,et al.  Diet, nutrition and cancer: public, media and scientific confusion. , 2008, Annals of oncology : official journal of the European Society for Medical Oncology.

[30]  F. Islami,et al.  Helicobacter pylori and Esophageal Cancer Risk: A Meta-analysis , 2008, Cancer Prevention Research.

[31]  T. Erlinger,et al.  C‐reactive protein and colorectal cancer risk: A systematic review of prospective studies , 2008, International journal of cancer.

[32]  W. Zhuo,et al.  Possible association of Helicobacter pylori infection with laryngeal cancer risk: an evidence-based meta-analysis. , 2008, Archives of medical research.

[33]  J. Herman,et al.  Carotenoids and the risk of developing lung cancer: a systematic review. , 2008, The American journal of clinical nutrition.

[34]  P. Bossuyt,et al.  Reporting bias in diagnostic and prognostic studies: time for action. , 2008, Clinical chemistry.

[35]  Fan Wang,et al.  Meta-analysis of different test indicators: Helicobacter pylori infection and the risk of colorectal cancer , 2008, International Journal of Colorectal Disease.

[36]  F. Perera,et al.  DNA adducts and cancer risk in prospective studies: a pooled analysis and a meta-analysis. , 2008, Carcinogenesis.

[37]  Peter C Gøtzsche,et al.  Bmc Medical Research Methodology Open Access Recommendations by Cochrane Review Groups for Assessment of the Risk of Bias in Studies , 2022 .

[38]  A. Roddam,et al.  Endogenous sex hormones and prostate cancer: a collaborative analysis of 18 prospective studies. , 2008, Journal of the National Cancer Institute.

[39]  P. Pisani.  Hyper-insulinaemia and cancer, meta-analyses of epidemiological studies. , 2008, Archives of physiology and biochemistry.

[40]  Nikolaos A Patsopoulos,et al.  Uncertainty in heterogeneity estimates in meta-analyses , 2007, BMJ : British Medical Journal.

[41]  John P A Ioannidis,et al.  Almost all articles on cancer prognostic markers report statistically significant results. , 2007, European journal of cancer.

[42]  R. Hunt,et al.  The Association Between Helicobacter pylori Infection and Early Gastric Cancer: A Meta-Analysis , 2007, The American Journal of Gastroenterology.

[43]  J. Ioannidis,et al.  An exploratory test for an excess of significant findings , 2007, Clinical trials.

[44]  J. Hoving,et al.  Systematic Review and Meta-analysis of Cyclodiene Insecticides and Breast Cancer , 2007, Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews.

[45]  S. Larsson,et al.  Folate and risk of breast cancer: a meta-analysis. , 2007, Journal of the National Cancer Institute.

[46]  J. Gutiérrez,et al.  Meta-analysis of studies analyzing the relationship between bladder cancer and infection by human papillomavirus. , 2006, The Journal of urology.

[47]  J. Sterne,et al.  Human papillomavirus and head and neck cancer: a systematic review and meta‐analysis , 2006, Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery.

[48]  N. Wald,et al.  Insulin-like growth factors and cancer: no role in screening. Evidence from the BUPA study and meta-analysis of prospective epidemiological studies , 2006, British Journal of Cancer.

[49]  B. Wells,et al.  Prostate cancer and sexually transmitted diseases: a meta-analysis. , 2005, Family medicine.

[50]  Sander Greenland,et al.  Multiple‐bias modelling for analysis of observational data , 2005 .

[51]  E. Riboli,et al.  Biomarkers of dietary fatty acid intake and the risk of breast cancer: A meta‐analysis , 2004, International journal of cancer.

[52]  Kerrie Mengersen,et al.  Adjusted Likelihoods for Synthesizing Empirical Evidence from Studies that Differ in Quality and Design: Effects of Environmental Tobacco Smoke , 2004 .

[53]  C. Steinmaus,et al.  Selenium and lung cancer: a quantitative analysis of heterogeneity in the current epidemiological literature. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[54]  L. López-Carrillo,et al.  Dichlorodiphenyldichloroethane burden and breast cancer risk: a meta-analysis of the epidemiologic evidence. , 2003, Environmental health perspectives.

[55]  D. Spiegelhalter,et al.  Disease Mapping With WinBUGS and MLwiN, Bayesian Approaches to Clinical Trials and Health Care Evaluation , 2004 .

[56]  R. Hunt,et al.  Meta-analysis of the relationship between cagA seropositivity and gastric cancer. , 2003, Gastroenterology.

[57]  F. Song,et al.  Evaluating non-randomised intervention studies. , 2003, Health technology assessment.

[58]  D. Altman,et al.  Measuring inconsistency in meta-analyses , 2003, BMJ : British Medical Journal.

[59]  S. Thompson,et al.  Quantifying heterogeneity in a meta‐analysis , 2002, Statistics in medicine.

[60]  T. Key,et al.  Endogenous sex hormones and breast cancer in postmenopausal women: reanalysis of nine prospective studies. , 2002, Journal of the National Cancer Institute.

[61]  Simon G. Thompson,et al.  Presenting random effects meta-analyses: where we are going wrong? , 2001 .

[62]  J. Mandelblatt,et al.  Is HIV infection a cofactor for cervical squamous cell neoplasia? , 1999, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[63]  P Boffetta,et al.  A meta‐analysis of epidemiological studies on the combined effect of hepatitis B and C virus infections in causing hepatocellular carcinoma , 1998, International journal of cancer.

[64]  G. Smith,et al.  Bias in meta-analysis detected by a simple, graphical test , 1997, BMJ.

[65]  R J Lilford,et al.  For Debate: The statistical basis of public policy: a paradigm shift is overdue , 1996, BMJ.

[66]  C. Begg,et al.  Is Trichomonas vaginalis a cause of cervical neoplasia? Results from a combined analysis of 24 studies. , 1994, International journal of epidemiology.

[67]  Ross D. Shachter,et al.  A Bayesian Method for Synthesizing Evidence: The Confidence Profile Method , 1990, International Journal of Technology Assessment in Health Care.

[68]  N. Laird,et al.  Meta-analysis in clinical trials. , 1986, Controlled clinical trials.

[69]  A. B. Hill.  The Environment and Disease: Association or Causation? , 1965, Proceedings of the Royal Society of Medicine.