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Rhian Mair Daniel

Personal Details

First Name:Rhian
Middle Name:Mair
Last Name:Daniel
Suffix:
RePEc Short-ID:pda411
http://www.lshtm.ac.uk/people/daniel.rhian

Affiliation

London School of Hygiene and Tropical Medicine (London School of Hygiene and Tropical Medicine)

http://www.lshtm.ac.uk
London

Research output

as
Jump to: Articles Software

Articles

  1. White, Ian R. & Daniel, Rhian & Royston, Patrick, 2010. "Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2267-2275, October.

Software components

  1. Rhian Daniel, 2010. "GFORMULA: Stata module to implement the g-computation formula for estimating causal effects in the presence of time-varying confounding or mediation," Statistical Software Components S457204, Boston College Department of Economics, revised 29 Sep 2021.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. White, Ian R. & Daniel, Rhian & Royston, Patrick, 2010. "Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2267-2275, October.

    Cited by:

    1. Feld, Lars P. & Necker, Sarah & Frey, Bruno S., 2013. "Happiness of economists," Freiburg Discussion Papers on Constitutional Economics 13/7, Walter Eucken Institut e.V..
    2. Doidge, James C & Higgins, Daryl J & Delfabbro, Paul & Edwards, Ben & Vassallo, Suzanne & Toumbourou, John W & Segal, Leonie, 2017. "Economic predictors of child maltreatment in an Australian population-based birth cohort," Children and Youth Services Review, Elsevier, vol. 72(C), pages 14-25.
    3. Vincent Bauer & Keven Ruby & Robert Pape, 2017. "Solving the Problem of Unattributed Political Violence," Journal of Conflict Resolution, Peace Science Society (International), vol. 61(7), pages 1537-1564, August.
    4. Morris A. Davis & William D. Larson & Stephen D. Oliner & Benjamin Smith, 2019. "Mortgage Risk Since 1990," FHFA Staff Working Papers 19-02, Federal Housing Finance Agency.
    5. Mingyang Cai & Gerko Vink, 2022. "A note on imputing squares via polynomial combination approach," Computational Statistics, Springer, vol. 37(5), pages 2185-2201, November.
    6. Ferrari, Pier Alda & Annoni, Paola & Barbiero, Alessandro & Manzi, Giancarlo, 2011. "An imputation method for categorical variables with application to nonlinear principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2410-2420, July.
    7. Martin, Eisele & Zhu, Junyi, 2013. "Multiple imputation in a complex household survey - the German Panel on Household Finances (PHF): challenges and solutions," MPRA Paper 57666, University Library of Munich, Germany.
    8. Ahmad R. Alsaber & Jiazhu Pan & Adeeba Al-Hurban, 2021. "Handling Complex Missing Data Using Random Forest Approach for an Air Quality Monitoring Dataset: A Case Study of Kuwait Environmental Data (2012 to 2018)," IJERPH, MDPI, vol. 18(3), pages 1-25, February.
    9. Zhong, Hua & Hu, Wuyang & Penn, Jerrod M., 2018. "Application of Multiple Imputation in Dealing with Missing Data in Agricultural Surveys: The Case of BMP Adoption," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    10. Templ, Matthias & Kowarik, Alexander & Filzmoser, Peter, 2011. "Iterative stepwise regression imputation using standard and robust methods," Computational Statistics & Data Analysis, Elsevier, vol. 55(10), pages 2793-2806, October.
    11. Williams, Randi M. & Zhang, Jing & Woodard, Nathaniel & Slade, Jimmie & Santos, Sherie Lou Zara & Knott, Cheryl L., 2020. "Development and validation of an instrument to assess institutionalization of health promotion in faith-based organizations," Evaluation and Program Planning, Elsevier, vol. 79(C).
    12. Royston, Patrick & White, Ian R., 2011. "Multiple Imputation by Chained Equations (MICE): Implementation in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i04).
    13. Caroline J. Dodd-Reynolds & Dimitris Vallis & Adetayo Kasim & Nasima Akhter & Coral L. Hanson, 2020. "The Northumberland Exercise Referral Scheme as a Universal Community Weight Management Programme: A Mixed Methods Exploration of Outcomes, Expectations and Experiences across a Social Gradient," IJERPH, MDPI, vol. 17(15), pages 1-21, July.
    14. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    15. Rabea Aschenbruck & Gero Szepannek & Adalbert F. X. Wilhelm, 2023. "Imputation Strategies for Clustering Mixed-Type Data with Missing Values," Journal of Classification, Springer;The Classification Society, vol. 40(1), pages 2-24, April.
    16. Reza C. Daniels, 2012. "Univariate Multiple Imputation for Coarse Employee Income Data," SALDRU Working Papers 88, Southern Africa Labour and Development Research Unit, University of Cape Town.

Software components

    Sorry, no citations of software components recorded.

More information

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Statistics

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Co-authorship network on CollEc

Corrections

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