Items where the Publication is Computational statistics & data analysis
Number of items: 14.
2023
  • Fast estimation for generalised multivariate joint models using an approximate EM algorithm. (2023) Murray, James; Philipson, Pete
    • 2018
  • Objective priors for the number of degrees of freedom of a multivariate<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="mml352" display="inline" overflow="scroll" altimg="si1.gif"><mml:mi>t</mml:mi></mml:math>distribution and the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="mml353" display="inline" overflow="scroll" altimg="si1.gif"><mml:mi>t</mml:mi></mml:math>-copula. (2018) Villa, Cristiano; Rubio, Francisco J
    • 2017
  • Self-controlled case series with multiple event types. (2016) Ghebremichael-Weldeselassie, Yonas; Whitaker, Heather J; Douglas, Ian J; Smeeth, Liam; Farrington, C Paddy
    • 2013
  • Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations. (2013) Lee, Donghwan; Lee, Youngjo; Paik, Myunghee Cho; Kenward, Michael G
  • Performance of parametric survival models under non-random interval censoring: A simulation study. (2013) Pantazis, Nikos; Kenward, Michael G; Touloumi, Giota
    • 2012
  • A method for increasing the robustness of multiple imputation. (2012) Daniel, Rhian M; Kenward, Michael G
    • 2011
  • MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness. (2011) Sotto, Cristina; Beunckens, Caroline; Molenberghs, Geert; Kenward, Michael G
    • 2010
  • Semi-parametric marginal models for hierarchical data and their corresponding full models. (2010) Molenberghs, Geert; Kenward, Michael G
  • Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables. (2010) White, Ian R; Daniel, Rhian; Royston, Patrick
    • 2009
  • An improved approximation to the precision of fixed effects from restricted maximum likelihood. (2009) Kenward, Michael G; Roger, James H
  • Bayesian analysis of allelic penetrance models for complex binary traits. (2009) Sepúlveda, Nuno; Paulino, Carlos Daniel; Penha-Gonçalves, Carlos
    • 2008
  • Bayesian model determination for multivariate ordinal and binary data. (2008) Webb, Emily L; Forster, Jonathan J
    • 2006
  • The nature of sensitivity in monotone missing not at random models. (2006) Jansen, Ivy; Hens, Niel; Molenberghs, Geert; Aerts, Marc; Verbeke, Geert; Kenward, Michael G
    • 2001
  • Influence analysis to assess sensitivity of the dropout process. (2001) Molenberghs, G; Verbeke, C; Thijs, H; Lesaffre, E; Kenward, MG