Systematic handling of missing data in complex study designs – experiences from the Health 2000 and 2011 Surveys-Reference-Cited by-同舟云学术

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Systematic handling of missing data in complex study designs – experiences from the Health 2000 and 2011 Surveys

Published:2016-02-18 Issue:15 Volume:43 Page:2772-2790
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Härkänen Tommi¹,Karvanen Juha²,Tolonen Hanna¹,Lehtonen Risto³,Djerf Kari⁴,Juntunen Teppo¹,Koskinen Seppo¹

Affiliation:

1. National Institute for Health and Welfare, Helsinki, Finland

2. Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland

3. Department of Social Research, University of Helsinki, Helsinki, Finland

4. Statistics Finland, Helsinki, Finland

Funder

Suomen Akatemia

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2016.1144725

Reference66 articles.

1. Maximum likelihood identification of Gaussian autoregressive moving average models

2. Comparison of participants and non-participants to the ORISCAV-LUX population-based study on cardiovascular risk factors in Luxembourg

3. The performance of different propensity-score methods for estimating relative risks

4. Doubly Robust Estimation in Missing Data and Causal Inference Models

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