Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review - Wikidata - wikimedia - TriplyDB

Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review

Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review

http://www.wikidata.org/entity/Q35234208

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Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa Longitudinal comparative evaluation of the equivalence of an integrated peer-support and clinical staffing model for residential mental health rehabilitation: a mixed methods protocol incorporating multiple stakeholder perspectives.

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Reporting and handling of missing data in predictive research for prevalent undiagnosed type 2 diabetes mellitus: a systematic review

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2015 nî lūn-bûn

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2015 թուականի Մարտին հրատարակուած գիտական յօդուած

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2015 թվականի մարտին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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Reporting and handling of miss ...... mellitus: a systematic review

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Reporting and handling of miss ...... mellitus: a systematic review

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The EPMA journal

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Reporting and handling of miss ...... mellitus: a systematic review

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Justin B Echouffo-Tcheugui

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Katya L Masconi

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Rajiv T Erasmus

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P2860

Inference and missing data

Prevalence of diabetes mellitus and the performance of a risk score among Hindustani Surinamese, African Surinamese and ethnic Dutch: a cross-sectional population-based study.

Missing data analysis using multiple imputation: getting to the heart of the matter.

Risk scores based on self-reported or available clinical data to detect undiagnosed type 2 diabetes: a systematic review.

Principled missing data methods for researchers.

Imputing cross-sectional missing data: comparison of common techniques.

Maximizing the Usefulness of Data Obtained with Planned Missing Value Patterns: An Application of Maximum Likelihood Procedures.

Routinely collected general practice data aids identification of people with hyperglycaemia and metabolic syndrome.

The performance of a risk score as a screening test for undiagnosed hyperglycemia in ethnic minority groups: data from the 1999 health survey for England.

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

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type-2 diabetes

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