Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures. - Wikidata - awgldk - TriplyDB

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

http://www.wikidata.org/entity/Q36143882

about

Investing in prospective cohorts for etiologic study of occupational exposures Telomere length, current perceived stress, and urinary stress hormones in women The impact of cancer prevention guideline adherence on overall mortality in a high-risk cohort of women from the New York site of the Breast Cancer Family Registry Infant siblings and the investigation of autism risk factors Multivitamin use and telomere length in women Design and analysis issues in gene and environment studies Obesity and weight gain in adulthood and telomere length.Association of intrauterine and early-life exposures with age at menopause in the Sister Study.Association between genetic variants in DNA and histone methylation and telomere length.Asymmetry in family history implicates nonstandard genetic mechanisms: application to the genetics of breast cancer.Insights from epidemiology into dichloromethane and cancer risk.A sibling-augmented case-only approach for assessing multiplicative gene-environment interactions.Lifetime use of nonsteroidal anti-inflammatory drugs and breast cancer risk: results from a prospective study of women with a sister with breast cancer.Long-Term Air Pollution Exposure and Blood Pressure in the Sister Study.Overall and central adiposity and breast cancer risk in the Sister Study Migraine and possible etiologic heterogeneity for hormone-receptor-negative breast cancer.Telomere length in peripheral blood and breast cancer risk in a prospective case-cohort analysis: results from the Sister Study Post-treatment Neurocognition and Psychosocial Care Among Breast Cancer Survivors Breast Cancer Risk in Relation to Ambient Air Pollution Exposure at Residences in the Sister Study Cohort.Prenatal and infant exposures and age at menarche.Fruit and vegetable intake and urinary levels of prostaglandin E₂ metabolite in postmenopausal women.Early Life Factors Associated with Adult-Onset Systemic Lupus Erythematosus in Women.Childhood and Adolescent Pesticide Exposure and Breast Cancer Risk Association between urinary prostaglandin E2 metabolite and breast cancer risk: a prospective, case-cohort study of postmenopausal women.Long-term use of calcium channel blocking drugs and breast cancer risk in a prospective cohort of US and Puerto Rican women.Childhood cancer survivorship research in minority populations: A position paper from the Childhood Cancer Survivor Study.Genome-wide age-related DNA methylation changes in blood and other tissues relate to histone modification, expression and cancer.The association between metabolic health, obesity phenotype and the risk of breast cancer.Eating Disorders and Breast Cancer.Single nucleotide polymorphisms in vitamin D-related genes may modify vitamin D-breast cancer associations.Indoor Wood-Burning Stove and Fireplace Use and Breast Cancer in a Prospective Cohort Study.Serum Vitamin D and Risk of Breast Cancer within Five Years.Childhood and teenage physical activity and breast cancer risk.Age- and treatment-related associations with health behavior change among breast cancer survivors.Gestational diabetes mellitus may be associated with increased risk of breast cancer.Communicating with Daughters About Familial Risk of Breast Cancer: Individual, Family, and Provider Influences on Women's Knowledge of Cancer Risk.The Sister Study Cohort: Baseline Methods and Participant Characteristics.Cohort studies in the context of obstetric and gynecologic research: a methodologic overview.Lifetime Alcohol Intake, Binge Drinking Behaviors, and Breast Cancer Risk.

P2860

Q23909407-A2E79B0A-B078-498E-B421-36417CB6688B Q23911111-4E3BA475-A758-4F43-B094-C5D71E094D51 Q28386746-170F1883-1FD1-4BE5-99B7-552F4DDF9A0A Q28388355-D9BA0ACB-3101-41AF-8578-068F9DC955BC Q28389864-F3D9803F-009C-48CA-A599-D1F596188023 Q29109926-36078E63-128E-4FB8-B6CC-2C81A211A930 Q33588124-B3256553-53CB-45B3-8DD7-3DB7558601E8 Q34041689-5D26CB62-0C49-4ED2-97D0-D70002B26FF1 Q34336449-EA55CBB8-482A-4FBF-A066-D49E60161418 Q35126562-5070C559-65B3-4BFF-BF16-F96093856F20 Q35195715-80BDF07F-2D87-4E67-935E-0D36CC5FADBC Q35636042-8AD7B8F0-FF05-43D7-ABBD-F0B98D688E6F Q35870384-70B84464-0810-45CA-818F-83AB6C4FF6FC Q36111998-9EF10E4A-3919-4CCE-9E04-3ED1953D1B06 Q36117798-F6FD9692-4578-40E0-9397-D79D2534D080 Q36146747-B723033B-782A-403E-9863-7AD6358FCB0E Q36242588-670E0CAC-A615-4126-9AFA-5FF128227595 Q36307723-B17E1D5E-4C13-469B-ABBD-ED4265C6F12D Q36391060-6CBC3CE0-DDA6-4116-9CDB-9AF6BA4E2739 Q36586074-CAEFC680-3D84-45F7-9217-4A66A97105F3 Q36654662-A7225400-D288-4A31-BD0A-79C7B5AF2342 Q36747908-D232F86B-E3F3-4551-BBF8-C440237CDBE5 Q36887430-90C2BDEE-DA22-42DE-851A-0B5E420E8765 Q36916609-D0E2E5B5-C53F-4B8D-9435-03D2C2D66695 Q37064504-27C00CEB-5F43-4F7E-B823-C587BDB2B6E4 Q37116007-0CFE3018-5BBD-4FA1-BF63-97621C8B4EE9 Q37537577-088CCD72-58C8-452F-BE81-D9EE6F692BEA Q38924489-72A57F72-EA24-4EAC-918B-BC6893123FB6 Q39274508-E0E0B3DC-5FD4-41DA-83D2-E7D4B2480D0D Q40074734-08813244-41CB-4C8D-90A1-8841F18F3F06 Q40114773-D1ECFBC8-A54A-4190-AD89-DB3C7C9213AF Q40114778-EFCAA48F-EEFD-4F68-AD29-21D8A271C600 Q40203055-92E4062F-E884-4FEE-B820-CEA0647E36C3 Q40310780-B31C28D8-5BEA-417F-B563-C40343CD02BA Q40332297-75523231-A0A1-4FF0-B290-E2C5D7CF61AF Q47552443-556777C9-4854-4D7C-B61A-A54BD0E89429 Q47553137-4834C528-0D01-4042-85BD-1431A8A4D651 Q48197978-83F4FFD1-8258-46D0-BD92-50DF47A5E6AD Q53614070-82D3453E-285B-4E54-BC5D-9D9BA11BCA8B

P2860

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

http://www.wikidata.org/entity/Q36143882

description

2007 nî lūn-bûn

@nan

2007年の論文

@ja

2007年論文

@yue

2007年論文

@zh-hant

2007年論文

@zh-hk

2007年論文

@zh-mo

2007年論文

@zh-tw

2007年论文

@wuu

2007年论文

@zh

2007年论文

@zh-cn

name

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

@ast

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

@en

type

label

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

@ast

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

@en

prefLabel

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

@ast

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

@en

P1433

Q36143882-44C40084-6C6F-40A9-8343-4751B2D4D162

P1476

Q36143882-87F9A7BF-DB5A-4504-8CD4-FC3D2585FC82

P2093

Q36143882-4D843CE7-6F8C-413F-BD3C-2A0BCC7B7D19

Q36143882-80025588-5574-4C67-BD63-47EE2901B3AC

P2860

Q36143882-0FFD823B-40E1-4DEE-AF28-B472B7EE8E96

Q36143882-1C9F3606-3AE3-4BA3-B4AE-93A97E8A682E

Q36143882-210E5F98-B831-4247-B218-984D28443751

Q36143882-58F854EE-B315-45E6-A08E-E580ADBD7383

Q36143882-88CEF510-2352-4F64-B6E9-5DB0E58BAB42

Q36143882-8C8EC75C-D059-4FAE-B954-028CE63642C6

Q36143882-99E1CB52-1260-4A47-AF18-182B0F6FB00D

Q36143882-B3DA1E2A-CCE7-497D-A760-D23574F77FE5

Q36143882-C322D544-C350-4706-9475-345B17B9D617

Q36143882-D2CA06E5-C6EA-4725-967F-1D391BC7BBEA

P304

Q36143882-4297CB4B-7D00-44E7-A04E-F40405788582

P31

Q36143882-15AC06E7-A9F1-4721-B9F8-54B4DEA28B3A

P356

Q36143882-6E141888-B838-43B8-96E9-79305ADC22F0

P407

Q36143882-774478F1-7E75-4312-8D70-1E3C86F7ED91

P433

Q36143882-6F9CAE70-3AEB-4B8C-898F-640E06C726E0

P478

Q36143882-378FAC08-B38D-4278-A147-C141BE2D8135

P50

Q36143882-6B570703-2FAA-4E80-8B67-FBF76F448A17

Q36143882-84339B57-8943-49C6-BED0-B2D50626358E

P577

Q36143882-4192C64D-30F6-4DE7-AC6E-1A386294836C

P5875

Q36143882-51366DA9-C35F-4C69-92DA-FF6264DCEB3D

P698

Q36143882-F6ADFDE0-609D-4B39-A59F-5914119B8E80

P932

Q36143882-FBBCC4FC-FB59-4257-B07C-60374100E0DD

P356

P1433

American Journal of Epidemiology

P1476

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.

@en

P2093

Clarice R Weinberg

http://www.w3.org/2001/XMLSchema#string

David L Shore

http://www.w3.org/2001/XMLSchema#string

P2860

Environmental and heritable factors in the causation of cancer--analyses of cohorts of twins from Sweden, Denmark, and Finland

The genetics of autism

Familial breast cancer: collaborative reanalysis of individual data from 52 epidemiological studies including 58,209 women with breast cancer and 101,986 women without the disease.

Assessing maternal genetic associations: a comparison of the log-linear approach to case-parent triad data and a case-control approach.

The use of case-parent triads to study joint effects of genotype and exposure.

Birth weight and breast cancer risk

Weighted likelihood, pseudo-likelihood and maximum likelihood methods for logistic regression analysis of two-stage data.

Familial aggregation of a disease consequent upon correlation between relatives in a risk factor measured on a continuous scale.

Randomized recruitment in case-control studies.

A two stage design for the study of the relationship between a rare exposure and a rare disease.

P304

447-455

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/AJE/KWM097

http://www.w3.org/2001/XMLSchema#string

P407

P433

4

http://www.w3.org/2001/XMLSchema#string

P478

166

http://www.w3.org/2001/XMLSchema#string

P50

Dale P. Sandler

P577

2007-06-07T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

6279673

http://www.w3.org/2001/XMLSchema#string

P698

17556763

http://www.w3.org/2001/XMLSchema#string

P932

2077981

http://www.w3.org/2001/XMLSchema#string