Big data and large sample size: a cautionary note on the potential for bias
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Big data for bipolar disorder.How should the completeness and quality of curated nanomaterial data be evaluated?Applying computation biology and "big data" to develop multiplex diagnostics for complex chronic diseases such as osteoarthritisBig data are coming to psychiatry: a general introductionThe utility of web mining for epidemiological research: studying the association between parity and cancer risk.PIK3CA expression in diffuse large B cell lymphoma tissue and the effect of its knockdown in vitro.Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop.Ethnic Differences in Risk Factors for Obesity among Adults in California, the United States.PIK3CD promoted proliferation in diffuse large B cell lymphoma through upregulation of c-myc.Clinicopathological significance of p38β, p38γ, and p38δ and its biological roles in esophageal squamous cell carcinoma.miR-615-5p prevents proliferation and migration through negatively regulating serine hydromethyltransferase 2 (SHMT2) in hepatocellular carcinoma.Travel burden and dentist bypass among dentally insured children.Big Data in Designing Clinical Trials: Opportunities and ChallengesAssessment of medication adherence and responsible use of isotretinoin and contraception through Belgian community pharmacies by using pharmacy refill data.How Many Subjects are Needed for a Visual Field Normative Database? A Comparison of Ground Truth and Bootstrapped Statistics.Significance Test, Confidence Interval, Both or Neither?Non-completion of secondary education and early disability in Norway: geographic patterns, individual and community risks.Research methodology for orthopaedic surgeons, with a focus on outcome.RETRACTED: KDM3A confers metastasis and chemoresistance in epithelial ovarian cancerChronic kidney disease, worsening renal function and outcomes in a heart failure community setting: A UK national studyAssociation is not causation: treatment effects cannot be estimated from observational data in heart failure
P2860
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P2860
Big data and large sample size: a cautionary note on the potential for bias
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2014 nî lūn-bûn
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2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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Big data and large sample size: a cautionary note on the potential for bias
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Big data and large sample size: a cautionary note on the potential for bias
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Big data and large sample size: a cautionary note on the potential for bias
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Big data and large sample size: a cautionary note on the potential for bias
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Big data and large sample size: a cautionary note on the potential for bias
@ast
Big data and large sample size: a cautionary note on the potential for bias
@en
P2093
P2860
P356
P1476
Big data and large sample size: a cautionary note on the potential for bias
@en
P2093
David A Chambers
Robert M Kaplan
Russell E Glasgow
P2860
P304
P356
10.1111/CTS.12178
P407
P577
2014-07-15T00:00:00Z