New models for large prospective studies: is there a better way? - Wikidata - awgldk - TriplyDB

New models for large prospective studies: is there a better way?

New models for large prospective studies: is there a better way?

http://www.wikidata.org/entity/Q28730242

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Transforming Epidemiology for 21st Century Medicine and Public Health Knowledge Integration in Cancer: Current Landscape and Future Prospects Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)Biobanks and personalized medicine Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network Newspaper coverage of biobanks Improving the transparency of prognosis research: the role of reporting, data sharing, registration, and protocols Sample and data sharing: observations from a central data repository Biobanking: The Melding of Research with Clinical Care Relationship between use of general practice and healthcare costs at the end of life: a data linkage study in New South Wales, Australia.Digital Connectedness in the Framingham Heart Study.Comparison of sample characteristics in two pregnancy cohorts: community-based versus population-based recruitment methods.The 'cognitive footprint' of psychiatric and neurological conditions: cross-sectional study in the UK Biobank cohort."Collection of a lifetime: a practical approach to developing a longitudinal collection of women's healthcare biological samples".How can polygenic inheritance be used in population screening for common diseases?Biobanking across the phenome - at the center of chronic disease research A platform for the remote conduct of gene-environment interaction studies.Translational cancer research: balancing prevention and treatment to combat cancer globally.Invited commentary: future of population studies--defining research priorities and processes.How Does Cardiovascular Disease First Present in Women and Men? Incidence of 12 Cardiovascular Diseases in a Contemporary Cohort of 1,937,360 People Recruitment strategies in a prospective longitudinal family study on parents with obesity and their toddlers.Protocol for the China PEACE (Patient-centered Evaluative Assessment of Cardiac Events) Million Persons Project pilot.Collecting Biospecimens From an Internet-Based Prospective Cohort Study of Inflammatory Bowel Disease (CCFA Partners): A Feasibility Study.The hallmarks of premalignant conditions: a molecular basis for cancer prevention Counterpoint: "streamlined" does not mean simple.Vehement agreement on new models?Pregnancy recruitment for population research: the National Children's Study vanguard experience in Wayne County, Michigan.Minimum Cost Estimation of a Baseline Survey for a Molecular Epidemiology Cohort Study: Collecting Participants in a Model Region in Japan.Research ethics in the post-genomic era.Effectiveness of individual-focused interventions to prevent chronic disease.Comparison of Recruitment Strategy Outcomes in the National Children's Study.Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants with the General Population.The American Cancer Society's Cancer Prevention Study 3 (CPS-3): Recruitment, study design, and baseline characteristics.Point: is there a future for innovative epidemiology?Socioeconomic status and anthropometric changes-A meta-analytic approach from seven German cohorts.Re: New models for large prospective studies: is there a better way?Healthy Cities of Tomorrow: the Case for Large Scale Built Environment-Health Studies.Cohort studies with low baseline response may not be generalisable to populations with different exposure distributions.Multiple Score Comparison: a network meta-analysis approach to comparison and external validation of prognostic scores.New models for large prospective studies: is there a risk of throwing out the baby with the bathwater?

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P2860

New models for large prospective studies: is there a better way?

http://www.wikidata.org/entity/Q28730242

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2012 nî lūn-bûn

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2012 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2012 թվականի մայիսին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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New models for large prospective studies: is there a better way?

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New models for large prospective studies: is there a better way?

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New models for large prospective studies: is there a better way?

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New models for large prospective studies: is there a better way?

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New models for large prospective studies: is there a better way?

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American Journal of Epidemiology

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New models for large prospective studies: is there a better way?

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Alpa V Patel

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Barnett S Kramer

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Brenda K Weis

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Catherine C Cowie

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Catherine Schaefer

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Chris Berg

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Daniel Masys

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J Michael Gaziano

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Joan A Scott

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John McLaughlin

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P2860

The PhenX Toolkit: get the most from your measures

Public expectations for return of results from large-cohort genetic research

The Cardiovascular Health Study: design and rationale

The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators

New models of collaboration in genome-wide association studies: the Genetic Association Information Network

PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Anonymization of electronic medical records for validating genome-wide association studies

Genes, environment and the value of prospective cohort studies.

Enhancing the feasibility of large cohort studies.

Recruitment methods employed in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

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2338115

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10.1093/AJE/KWR453

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9

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175

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Francis Collins

Catherine A. McCarty

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2012-05-01T00:00:00Z

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221697679

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22411865

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