Statistical methods for studying disease subtype heterogeneity - sprookjes - yvandenbroek - TriplyDB

Statistical methods for studying disease subtype heterogeneity

Statistical methods for studying disease subtype heterogeneity

http://www.wikidata.org/entity/Q28385063

about

Proceedings of the third international molecular pathological epidemiology (MPE) meeting.Molecular pathological epidemiology: new developing frontiers of big data science to study etiologies and pathogenesis.Osteoprotegerin and breast cancer risk by hormone receptor subtype: a nested case-control study in the EPIC cohort.Vitamin D and colorectal cancer: molecular, epidemiological and clinical evidence.Untangling the role of one-carbon metabolism in colorectal cancer risk: a comprehensive Bayesian network analysis.A prospective cohort study of oral contraceptive use and ovarian cancer among women in the United States born from 1947 to 1964.The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure.Circulating RANKL and RANKL/OPG and Breast Cancer Risk by ER and PR Subtype: Results from the EPIC Cohort.Calcium intake and risk of colorectal cancer according to expression status of calcium-sensing receptor (CASR).Body mass index and risk of colorectal carcinoma subtypes classified by tumor differentiation status.Androgens Are Differentially Associated with Ovarian Cancer Subtypes in the Ovarian Cancer Cohort Consortium.Association of Physical Activity by Type and Intensity With Digestive System Cancer Risk.Age at diagnosis, obesity, smoking, and molecular subtypes in muscle-invasive bladder cancer.Dietary Patterns and Risk of Colorectal Cancer: Analysis by Tumor Location and Molecular Subtypes.Association of Dietary Patterns With Risk of Colorectal Cancer Subtypes Classified by Fusobacterium nucleatum in Tumor Tissue.A Prospective Study of Smoking and Risk of Synchronous Colorectal Cancers Protein Intake and Breast Cancer Survival in the Nurses' Health Study.Sedentary time and breast cancer incidence in African American women.Cancer subtypes in aetiological research.Regular Aspirin Use Associates With Lower Risk of Colorectal Cancers With Low Numbers of Tumor-Infiltrating Lymphocytes.Body mass index and risk of colorectal cancer according to tumor lymphocytic infiltrate Outdoor Light at Night and Breast Cancer Incidence in the Nurses' Health Study II.Anti-Mullerian hormone and endometrial cancer: a multi-cohort study.Association Between Inflammatory Diet Pattern and Risk of Colorectal Carcinoma Subtypes Classified by Immune Responses to Tumor.Pubertal growth and adult height in relation to breast cancer risk in African American women.The inflammatory potential of diet and ovarian cancer risk: results from two prospective cohort studies.Dietary fat intake and risk of non-Hodgkin lymphoma in 2 large prospective cohorts.Sleep and survival among women with breast cancer: 30 years of follow-up within the Nurses' Health Study.Human Chorionic Gonadotropin Does Not Correlate with Risk for Maternal Breast Cancer: Results from the Finnish Maternity Cohort.Differential Patterns of Risk Factors for Early-Onset Breast Cancer by ER Status in African American Women.Type II Diabetes and Incidence of Estrogen Receptor Negative Breast Cancer in African American Women.Utility of inverse probability weighting in molecular pathological epidemiology.Depression, antidepressant use and breast cancer risk in pre- and postmenopausal women: a prospective cohort study.Serum pepsinogen 1 and anti-Helicobacter pylori IgG antibodies as predictors of gastric cancer risk in Finnish males.Erythrocyte membrane fatty acids and breast cancer risk: a prospective analysis in the nurses' health study II.Integrative analysis of exogenous, endogenous, tumour and immune factors for precision medicine.Diets That Promote Colon Inflammation Associate With Risk of Colorectal Carcinomas That Contain Fusobacterium nucleatum.Type 2 Diabetes in Relation to the Risk of Renal Cell Carcinoma Among Men and Women in Two Large Prospective Cohort Studies.Integration of pharmacology, molecular pathology, and population data science to support precision gastrointestinal oncology.Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study.

P2860

Q30238962-38B0AD5C-3E78-4B0B-B98E-1D47E5236F2D Q30244608-AE1E2458-3422-448D-B231-276312E5372D Q36273402-546F30AB-3D3D-411F-9CD1-94000E762157 Q36960938-CB5C9411-7595-402A-BFAB-F88C594DEFEA Q37663064-BACB9EAA-7F04-4FA9-B70E-7AAD11467EF3 Q38402265-5C1B5989-E469-4B8B-8B28-DC93ABE17759 Q38639638-B0858BEB-F93D-4D20-A4F4-CF46EAC71FC6 Q38682103-F53AD1DA-2F43-4268-8DBA-77E1C2E557AB Q38693893-3533BAE9-ED60-453E-947F-66752A77365C Q38783093-3F6DE232-AFF3-4324-8FF2-003EC26B2998 Q38851593-3D1DFCA5-0FD3-4D72-8495-C9D33F1E3CB2 Q38865259-DDBF293B-9976-4B8D-B366-E94CCF53CEC5 Q38891922-B2924461-81B6-435B-9A3F-5CA3CB0D5125 Q38935141-BFA1BC37-6ED8-4EB6-BB68-237C6425B3E6 Q38997272-5A24ED26-3F1B-4413-9EAD-959B83226741 Q39002395-712F1CDF-501F-4D03-BC07-C035FB67A02C Q39016803-20FC87FA-81BE-487B-85F8-7D1D48D17941 Q39386105-FCF16251-BCD4-4F58-91BA-5495A99AF03E Q39397286-C1B76D76-9D64-455D-8F9C-3E62916BDDCD Q39542382-5E6D75C2-8A04-4919-A1D3-1545E1E7324A Q39869896-27D10C3F-E2AC-4766-9DA5-E785EAAF3E65 Q40050555-30BCB28D-BE7E-40B5-A36D-113AC132024B Q40057472-477C116E-B041-4A8F-AED8-65BF80BE87E6 Q40060444-BBCB8C61-A01D-4571-BB13-40C9D4150386 Q40068331-C450962F-A7BF-4DCB-87AC-BFCFECCC9593 Q40096078-C254B2A9-3D90-4B28-93A3-0159CD087182 Q40142097-9FAF7008-A0BC-4FF5-8959-7F0F5C8A54BC Q40266638-E6DE0C37-AD3E-4192-BDA3-A2E4DA0F0665 Q40512733-075F14CC-453B-42B3-A3BE-E0908189C531 Q40518502-5FF41441-73AC-4A04-90BC-6B72713A8CA9 Q46919408-03A17BCC-78E2-490E-9432-293494071763 Q47271626-6F68CA28-8E77-4240-B401-8DE18BF9FADD Q47672990-3174E1F9-1FF3-4E26-958B-BB1C83A41675 Q48111399-F0E43204-2AB2-4203-A5A7-782C702668E9 Q48126260-A893BEE9-4927-4792-952D-3B9798ABB75E Q50043586-720865CC-F15B-4E6C-893B-7B83028930C9 Q52558651-E2AF8D7E-2544-4D39-BB62-7CC12272BF6F Q52717865-1CD39B21-0B7E-4034-8369-7CF7F31436DF Q53601791-A5A23102-7727-43FF-A2D1-92F4C1B7F3B4 Q55285404-3F37BDA8-08B2-4B4B-8426-A0E3F64B97FF

P2860

Statistical methods for studying disease subtype heterogeneity

http://www.wikidata.org/entity/Q28385063

description

2016 nî lūn-bûn

@nan

2016 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2016 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

name

Statistical methods for studying disease subtype heterogeneity

@ast

Statistical methods for studying disease subtype heterogeneity

@en

Statistical methods for studying disease subtype heterogeneity

@nl

type

label

Statistical methods for studying disease subtype heterogeneity

@ast

Statistical methods for studying disease subtype heterogeneity

@en

Statistical methods for studying disease subtype heterogeneity

@nl

prefLabel

Statistical methods for studying disease subtype heterogeneity

@ast

Statistical methods for studying disease subtype heterogeneity

@en

Statistical methods for studying disease subtype heterogeneity

@nl

P1433

Q28385063-3099392B-3178-4E3F-AC06-70B134ED9655

P1476

Q28385063-09917584-2D47-41EA-8953-D4752B6B6B7B

P2093

Q28385063-05B7AFA6-E910-438E-BFC1-0E27782C2474

Q28385063-245BB0B3-11C6-4574-8FD9-49938426CAE1

Q28385063-7C45DAE8-C57D-4D20-8C7B-A240E2CF34C3

Q28385063-7C7AB367-05F1-47BD-BB11-D3DEACA33872

Q28385063-8D62D3A8-C613-4BA5-8E6B-8B4923020664

Q28385063-9A3EC386-7B8B-46BB-B6E6-15FE5D3FDCB1

Q28385063-B9F17BBE-C55A-41B4-A62D-F97553D5D703

Q28385063-DB9BCD67-4C19-4F0C-8E12-923BC3E8674A

Q28385063-F6FD6C99-CBEE-4D4E-930A-3262EA835A5D

P2860

Q28385063-083DECB2-1817-4C74-AA61-8001A21F5B46

Q28385063-08CB435A-94BB-4F78-8E53-BDABB3EE9CEF

Q28385063-096FFBA2-5790-4A4B-AE2A-B8F37B61998F

Q28385063-0A2B20D5-F216-4BCA-826E-B6940DCCB25C

Q28385063-0DF53424-4E5E-4A77-80B8-A76014C263CF

Q28385063-115B1CD1-D160-4AED-9F5D-BB646A6D4639

Q28385063-132D50FF-7938-4ABB-80E4-B7023CE9019F

Q28385063-19DF47DA-3852-462C-B5A4-78084E485222

Q28385063-1B20D207-DB8F-49A3-B910-EF038A28C5A3

Q28385063-1B487BCC-B2BB-41A2-A4C5-3F6ED8C32AF1

P304

Q28385063-6929F2AB-96D2-4237-A1C4-EB28B2024653

P31

Q28385063-8746A3F5-48B4-4C0F-8838-F70755331045

P356

Q28385063-40174C21-B6C1-4842-846C-1FDEAF97CD44

P407

Q28385063-2D665E88-69E0-4597-B780-21CFE6EF7E96

P433

Q28385063-F2A9FBFB-AAD7-461C-8AC0-BD636A5865CD

P478

Q28385063-173F1E23-0165-4B69-8CB6-6E7DC4345B3D

P50

Q28385063-0B6773B0-F68A-4ADC-B9CC-8FE4977B6B4D

Q28385063-226C65E0-7F10-44E1-9479-B54B1A213D4B

Q28385063-8EB460FE-C37C-4FDD-AA0D-CEDDCA5E196D

P577

Q28385063-367B6AEE-137B-4B45-B0A1-1734EAB5B968

P698

Q28385063-91D384E9-ABE0-4794-AE61-D7BE96DAC134

P921

Q28385063-565F1FDC-7AB6-4E0A-B181-7CC356D1D5C9

P932

Q28385063-9771D5DB-421B-431B-B54C-4CBA93E291A3

P356

P1433

Statistics in Medicine

P1476

Statistical methods for studying disease subtype heterogeneity

@en

P2093

Andrew T Chan

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

Aya Kuchiba

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

Bernard Rosner

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

Elizabeth M Poole

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

Molin Wang

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

Paul Lochhead

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

Rulla Tamimi

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

Sehee Kim

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

Shuji Ogino

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

P2860

A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits

Molecular pathological epidemiology of epigenetics: emerging integrative science to analyze environment, host, and disease

Molecular pathological epidemiology of colorectal neoplasia: an emerging transdisciplinary and interdisciplinary field

Lifestyle factors and microsatellite instability in colorectal cancer: the evolving field of molecular pathological epidemiology

Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer

A meta-analysis of alcohol drinking and cancer risk

Discovery of colorectal cancer PIK3CA mutation as potential predictive biomarker: power and promise of molecular pathological epidemiology

Frequency and distinctive spectrum of KRAS mutations in never smokers with lung adenocarcinoma.

Diet and lifestyle factor associations with CpG island methylator phenotype and BRAF mutations in colon cancer

KRAS mutations in non-small cell lung cancer

P304

782-800

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

P31

scholarly article

P356

10.1002/SIM.6793

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

P407

P433

5

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

P478

35

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

P50

Edward Giovannucci

Shelley S. Tworoger

Donna Spiegelman

P577

2016-02-28T00:00:00Z

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

P698

26619806

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

P921

P932

4728021

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