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There are 7381 results for: content related to: Modelling the rate of change in a longitudinal study with missing data, adjusting for contact attempts

  1. Missing Data

    Standard Article

    Developmental Psychopathology

    Todd D. Little, Kyle M. Lang, Wei Wu and Mijke Rhemtulla

    Published Online : 10 FEB 2016, DOI: 10.1002/9781119125556.devpsy117

  2. Measuring the impact of nonignorability in panel data with non-monotone nonresponse

    Journal of Applied Econometrics

    Volume 27, Issue 1, January/February 2012, Pages: 129–159, Hui Xie and Dr Yi Qian

    Version of Record online : 1 FEB 2010, DOI: 10.1002/jae.1157

  3. Simple generalized estimating equations (GEEs) and weighted generalized estimating equations (WGEEs) in longitudinal studies with dropouts: guidelines and implementation in R

    Statistics in Medicine

    Alejandro Salazar, Begoña Ojeda, María Dueñas, Fernando Fernández and Inmaculada Failde

    Version of Record online : 5 APR 2016, DOI: 10.1002/sim.6947

  4. Non-random error in genotype calling procedures: Implications for family-based and case–control genome-wide association studies

    American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

    Volume 147B, Issue 8, 5 December 2008, Pages: 1379–1386, Richard J.L. Anney, Elaine Kenny, Colm T. O'Dushlaine, Jessica Lasky-Su, Barbara Franke, Derek W. Morris, Benjamin M. Neale, Philip Asherson, Stephen V. Faraone and Michael Gill

    Version of Record online : 28 JUL 2008, DOI: 10.1002/ajmg.b.30836

  5. Estimating household structure in ancient China by using historical data: a latent class analysis of partially missing patterns

    Journal of the Royal Statistical Society: Series A (Statistics in Society)

    Volume 167, Issue 1, February 2004, Pages: 125–139, Tim Futing Liao

    Version of Record online : 17 DEC 2003, DOI: 10.1111/j.1467-985X.2004.00294.x

  6. Prediction with missing data via Bayesian Additive Regression Trees

    Canadian Journal of Statistics

    Volume 43, Issue 2, June 2015, Pages: 224–239, Adam Kapelner and Justin Bleich

    Version of Record online : 10 APR 2015, DOI: 10.1002/cjs.11248

  7. Adjusting for Nonignorable Missingness When Estimating Generalized Additive Models

    Biometrical Journal

    Volume 52, Issue 2, April 2010, Pages: 186–200, Hui Xie

    Version of Record online : 26 APR 2010, DOI: 10.1002/bimj.200900202

  8. Simulation driven inferences for multiply imputed longitudinal datasets

    Statistica Neerlandica

    Volume 58, Issue 4, November 2004, Pages: 466–482, Hakan Demirtas

    Version of Record online : 6 DEC 2004, DOI: 10.1111/j.1467-9574.2004.00271.x

  9. A flexible marginal modelling strategy for non-monotone missing data

    Journal of the Royal Statistical Society: Series A (Statistics in Society)

    Volume 171, Issue 2, April 2008, Pages: 347–373, Ivy Jansen and Geert Molenberghs

    Version of Record online : 10 MAR 2008, DOI: 10.1111/j.1467-985X.2007.00524.x

  10. You have free access to this content
    Predictive mean matching imputation of semicontinuous variables

    Statistica Neerlandica

    Volume 68, Issue 1, February 2014, Pages: 61–90, Gerko Vink, Laurence E. Frank, Jeroen Pannekoek and Stef van Buuren

    Version of Record online : 28 JAN 2014, DOI: 10.1111/stan.12023

  11. Accounting for informatively missing data in logistic regression by means of reassessment sampling

    Statistics in Medicine

    Volume 34, Issue 11, 20 May 2015, Pages: 1925–1939, Ji Lin and Robert H. Lyles

    Version of Record online : 23 FEB 2015, DOI: 10.1002/sim.6456

  12. On the practical application of mixed effects models for repeated measures to clinical trial data

    Pharmaceutical Statistics

    Volume 12, Issue 1, January/February 2013, Pages: 7–16, Scott W. Andersen and Brian A. Millen

    Version of Record online : 13 DEC 2012, DOI: 10.1002/pst.1548

  13. Methods for Handling Missing Data

    Chapter

    Handbook of Psychology, Second Edition

    John W. Graham, Patricio E. Cumsille and Allison E. Shevock

    Published Online : 26 SEP 2012, DOI: 10.1002/9781118133880.hop202004

  14. A Local Influence Approach Applied to Binary Data from a Psychiatric Study

    Biometrics

    Volume 59, Issue 2, June 2003, Pages: 410–419, Ivy Jansen, Geert Molenberghs, Marc Aerts, Herbert Thijs and Kristel Van Steen

    Version of Record online : 11 JUN 2003, DOI: 10.1111/1541-0420.00048

  15. Every missingness not at random model has a missingness at random counterpart with equal fit

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 70, Issue 2, April 2008, Pages: 371–388, Geert Molenberghs, Caroline Beunckens, Cristina Sotto and Michael G. Kenward

    Version of Record online : 6 FEB 2008, DOI: 10.1111/j.1467-9868.2007.00640.x

  16. Maximum likelihood estimation of bivariate logistic models for incomplete responses with indicators of ignorable and non-ignorable missingness

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 51, Issue 3, July 2002, Pages: 281–295, Nicholas J. Horton and Garrett M. Fitzmaurice

    Version of Record online : 30 JUL 2002, DOI: 10.1111/1467-9876.00269

  17. You have free access to this content
    A multifaceted sensitivity analysis of the Slovenian public opinion survey data

    Journal of the Royal Statistical Society: Series C (Applied Statistics)

    Volume 58, Issue 2, May 2009, Pages: 171–196, Caroline Beunckens, Cristina Sotto, Geert Molenberghs and Geert Verbeke

    Version of Record online : 22 JAN 2009, DOI: 10.1111/j.1467-9876.2009.00647.x

    Corrected by:

    Corrigendum: A multifaceted sensitivity analysis of the Slovenian public opinion survey data

    Vol. 58, Issue 4, 575–576, Version of Record online: 4 AUG 2009

  18. Nonignorable Models for Intermittently Missing Categorical Longitudinal Responses

    Biometrics

    Volume 66, Issue 3, September 2010, Pages: 834–844, Roula Tsonaka, Dimitris Rizopoulos, Geert Verbeke and Emmanuel Lesaffre

    Version of Record online : 30 NOV 2009, DOI: 10.1111/j.1541-0420.2009.01365.x

  19. Semiparametric approach for non-monotone missing covariates in a parametric regression model

    Biometrics

    Volume 70, Issue 2, June 2014, Pages: 299–311, Samiran Sinha, Krishna K. Saha and Suojin Wang

    Version of Record online : 26 FEB 2014, DOI: 10.1111/biom.12159

  20. You have full text access to this OnlineOpen article
    A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta-analysis

    Statistics in Medicine

    Volume 34, Issue 12, 30 May 2015, Pages: 2062–2080, N. L. Turner, S. Dias, A. E. Ades and N. J. Welton

    Version of Record online : 24 MAR 2015, DOI: 10.1002/sim.6475