Published in Am J Epidemiol on June 27, 2007
Non-Hodgkin lymphoma and obesity: a pooled analysis from the InterLymph Consortium. Int J Cancer (2008) 2.01
Differences in incidence and trends of haematological malignancies in Japan and the United States. Br J Haematol (2013) 1.70
Associations between anthropometry, cigarette smoking, alcohol consumption, and non-Hodgkin lymphoma in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Am J Epidemiol (2010) 1.21
Epidemiologic overview of malignant lymphoma. Korean J Hematol (2012) 1.13
Body size, recreational physical activity, and B-cell non-Hodgkin lymphoma risk among women in the California teachers study. Am J Epidemiol (2009) 1.06
Alcohol drinking, tobacco smoking and subtypes of haematological malignancy in the UK Million Women Study. Br J Cancer (2012) 1.05
Medical history, lifestyle, family history, and occupational risk factors for follicular lymphoma: the InterLymph Non-Hodgkin Lymphoma Subtypes Project. J Natl Cancer Inst Monogr (2014) 1.01
A prospective analysis of body size during childhood, adolescence, and adulthood and risk of non-Hodgkin lymphoma. Cancer Prev Res (Phila) (2013) 0.97
Current understanding of lifestyle and environmental factors and risk of non-hodgkin lymphoma: an epidemiological update. J Cancer Epidemiol (2012) 0.95
Body size in relation to incidence of subtypes of haematological malignancy in the prospective Million Women Study. Br J Cancer (2013) 0.95
Medical history, lifestyle, family history, and occupational risk factors for chronic lymphocytic leukemia/small lymphocytic lymphoma: the InterLymph Non-Hodgkin Lymphoma Subtypes Project. J Natl Cancer Inst Monogr (2014) 0.95
Body mass index, weight change, and survival in non-Hodgkin lymphoma patients in Connecticut women. Nutr Cancer (2013) 0.91
Alcohol consumption over time and risk of lymphoid malignancies in the California Teachers Study cohort. Am J Epidemiol (2010) 0.88
Smoking, variation in N-acetyltransferase 1 (NAT1) and 2 (NAT2), and risk of non-Hodgkin lymphoma: a pooled analysis within the InterLymph consortium. Cancer Causes Control (2012) 0.85
Meat intake is not associated with risk of non-Hodgkin lymphoma in a large prospective cohort of U.S. men and women. J Nutr (2012) 0.85
Cigarette smoking, passive smoking, and non-Hodgkin lymphoma risk: evidence from the California Teachers Study. Am J Epidemiol (2011) 0.85
Alcohol consumption and non-Hodgkin lymphoma survival. J Cancer Surviv (2009) 0.82
The association between early life and adult body mass index and physical activity with risk of non-Hodgkin lymphoma: impact of gender. Ann Epidemiol (2012) 0.81
Distinct inhibitory effects on mTOR signaling by ethanol and INK128 in diffuse large B-cell lymphoma. Cell Commun Signal (2015) 0.79
Nutrients and genetic variation involved in one-carbon metabolism and Hodgkin lymphoma risk: a population-based case-control study. Am J Epidemiol (2011) 0.77
Body size and risk of Hodgkin's lymphoma by age and gender: a population-based case-control study in Connecticut and Massachusetts. Cancer Causes Control (2012) 0.77
Alcohol consumption has a protective effect against hematological malignancies: a population-based study in Sweden including 420,489 individuals with alcohol use disorders. Neoplasia (2014) 0.77
Genetic polymorphisms in cytochrome P450s, GSTs, NATs, alcohol consumption and risk of non-Hodgkin lymphoma. Am J Hematol (2010) 0.75
Polycyclic aromatic hydrocarbons: determinants of residential carpet dust levels and risk of non-Hodgkin lymphoma. Cancer Causes Control (2015) 0.75
Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med (2006) 16.17
Body-mass index and mortality among 1.46 million white adults. N Engl J Med (2010) 13.34
Genome-wide association study reveals genetic risk underlying Parkinson's disease. Nat Genet (2009) 10.34
Effect of screening on ovarian cancer mortality: the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Randomized Controlled Trial. JAMA (2011) 9.13
Lymphoma incidence patterns by WHO subtype in the United States, 1992-2001. Blood (2005) 8.37
Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol (2003) 8.25
50-year trends in smoking-related mortality in the United States. N Engl J Med (2013) 7.80
Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol (2003) 7.68
Reporting participation in epidemiologic studies: a survey of practice. Am J Epidemiol (2005) 6.52
Epidemiologic evaluation of measurement data in the presence of detection limits. Environ Health Perspect (2004) 6.43
Meat intake and mortality: a prospective study of over half a million people. Arch Intern Med (2009) 6.42
Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc (2006) 6.26
Colonoscopic screening of average-risk women for colorectal neoplasia. N Engl J Med (2005) 5.88
Performance of common genetic variants in breast-cancer risk models. N Engl J Med (2010) 5.79
Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study. Blood (2009) 5.69
A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. J Am Diet Assoc (2006) 5.61
Smoking and mortality--beyond established causes. N Engl J Med (2015) 5.54
Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer. Nat Genet (2009) 5.14
Americans do not meet federal dietary recommendations. J Nutr (2010) 4.94
A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Nat Genet (2010) 4.89
ABO blood group and the risk of pancreatic cancer. J Natl Cancer Inst (2009) 4.72
Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet (2016) 4.49
A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study. Int J Epidemiol (2003) 4.39
Menopausal hormone replacement therapy and risk of ovarian cancer. JAMA (2002) 4.39
Association between smoking and risk of bladder cancer among men and women. JAMA (2011) 4.31
Genetic variation in TNF and IL10 and risk of non-Hodgkin lymphoma: a report from the InterLymph Consortium. Lancet Oncol (2006) 4.13
Genome-wide association study of circulating vitamin D levels. Hum Mol Genet (2010) 4.07
Fruit and vegetable intake and overall cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC). J Natl Cancer Inst (2010) 3.98
Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. Am J Clin Nutr (2012) 3.95
A multi-stage genome-wide association study of bladder cancer identifies multiple susceptibility loci. Nat Genet (2010) 3.93
Performance of a food-frequency questionnaire in the US NIH-AARP (National Institutes of Health-American Association of Retired Persons) Diet and Health Study. Public Health Nutr (2007) 3.88
Association between BRCA1 and BRCA2 mutations and survival in women with invasive epithelial ovarian cancer. JAMA (2012) 3.85
Dietary fiber intake and mortality in the NIH-AARP diet and health study. Arch Intern Med (2011) 3.77
Cancer risk prediction models: a workshop on development, evaluation, and application. J Natl Cancer Inst (2005) 3.75
Detectable clonal mosaicism and its relationship to aging and cancer. Nat Genet (2012) 3.69
Mediterranean dietary pattern and prediction of all-cause mortality in a US population: results from the NIH-AARP Diet and Health Study. Arch Intern Med (2007) 3.58
Multivitamin use and risk of prostate cancer in the National Institutes of Health-AARP Diet and Health Study. J Natl Cancer Inst (2007) 3.51
Methods for pooling results of epidemiologic studies: the Pooling Project of Prospective Studies of Diet and Cancer. Am J Epidemiol (2006) 3.41
Postpolypectomy colonoscopy surveillance guidelines: predictive accuracy for advanced adenoma at 4 years. Ann Intern Med (2008) 3.34
Ovarian cancer biomarker performance in prostate, lung, colorectal, and ovarian cancer screening trial specimens. Cancer Prev Res (Phila) (2011) 3.33
Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes. Biometrics (2009) 3.30
Acute leukemia incidence and patient survival among children and adults in the United States, 2001-2007. Blood (2011) 3.30
Diet, nutrition and the prevention of cancer. Public Health Nutr (2004) 3.28
Risk of monoclonal gammopathy of undetermined significance (MGUS) and subsequent multiple myeloma among African American and white veterans in the United States. Blood (2005) 3.25
Ovarian cancer screening in the Prostate, Lung, Colorectal and Ovarian (PLCO) cancer screening trial: findings from the initial screen of a randomized trial. Am J Obstet Gynecol (2005) 3.25
A road map for efficient and reliable human genome epidemiology. Nat Genet (2006) 3.21
Fruit and vegetable assessment: performance of 2 new short instruments and a food frequency questionnaire. J Am Diet Assoc (2002) 3.16
A framework for evaluating biomarkers for early detection: validation of biomarker panels for ovarian cancer. Cancer Prev Res (Phila) (2011) 3.03
Meat consumption and prospective weight change in participants of the EPIC-PANACEA study. Am J Clin Nutr (2010) 2.87
Body mass and weight change in adults in relation to mortality risk. Am J Epidemiol (2013) 2.87
Tumor necrosis factor (TNF) and lymphotoxin-alpha (LTA) polymorphisms and risk of non-Hodgkin lymphoma in the InterLymph Consortium. Am J Epidemiol (2010) 2.86
Variation of serum prostate-specific antigen levels: an evaluation of year-to-year fluctuations. JAMA (2003) 2.85
Sources of food group intakes among the US population, 2001-2002. J Am Diet Assoc (2008) 2.83
A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method. Stat Med (2010) 2.81
Use of vitamin, mineral, nonvitamin, and nonmineral supplements in the United States: The 1987, 1992, and 2000 National Health Interview Survey results. J Am Diet Assoc (2004) 2.78
Dietary fiber intake and risk of colorectal cancer: a pooled analysis of prospective cohort studies. JAMA (2005) 2.76
Physical activity recommendations and decreased risk of mortality. Arch Intern Med (2007) 2.76
Cigarette smoking and subsequent risk of lung cancer in men and women: analysis of a prospective cohort study. Lancet Oncol (2008) 2.71
A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. Int J Epidemiol (2006) 2.65
Analysis of colorectal cancer occurrence during surveillance colonoscopy in the dietary Polyp Prevention Trial. Gastrointest Endosc (2005) 2.63
Dietary fat and postmenopausal invasive breast cancer in the National Institutes of Health-AARP Diet and Health Study cohort. J Natl Cancer Inst (2007) 2.63
Probabilities of death from breast cancer and other causes among female breast cancer patients. J Natl Cancer Inst (2004) 2.60
Transforming epidemiology for 21st century medicine and public health. Cancer Epidemiol Biomarkers Prev (2013) 2.56
A pooled analysis of advanced colorectal neoplasia diagnoses after colonoscopic polypectomy. Gastroenterology (2008) 2.56
Ongoing colorectal cancer risk despite surveillance colonoscopy: the Polyp Prevention Trial Continued Follow-up Study. Gastrointest Endosc (2009) 2.55
Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol (2014) 2.53
Dietary fiber and whole-grain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study. Am J Clin Nutr (2007) 2.51
Colorectal cancers soon after colonoscopy: a pooled multicohort analysis. Gut (2013) 2.50
A prospective study of red and processed meat intake in relation to cancer risk. PLoS Med (2007) 2.49