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There are 103990 results for: content related to: Missing data: Discussion points from the PSI missing data expert group

  1. Review of guidelines and literature for handling missing data in longitudinal clinical trials with a case study

    Pharmaceutical Statistics

    Volume 5, Issue 1, January/March 2006, Pages: 7–18, M. Liu, L. Wei and J. Zhang

    Version of Record online : 24 FEB 2006, DOI: 10.1002/pst.189

  2. Missing Data in Model-Based Pharmacometric Applications: Points to Consider

    The Journal of Clinical Pharmacology

    Volume 50, Issue S9, September 2010, Pages: 63S–74S, Dr Marc R. Gastonguay, Dr Jonathan L. French, Dr Daniel F. Heitjan, Dr James A. Rogers, Dr Jae Eun Ahn and Dr Patanjali Ravva

    Version of Record online : 7 MAR 2013, DOI: 10.1177/0091270010378409

  3. Binary variable multiple-model multiple imputation to address missing data mechanism uncertainty: application to a smoking cessation trial

    Statistics in Medicine

    Volume 33, Issue 17, 30 July 2014, Pages: 3013–3028, Juned Siddique, Ofer Harel, Catherine M. Crespi and Donald Hedeker

    Version of Record online : 17 MAR 2014, DOI: 10.1002/sim.6137

  4. Examining missing data mechanisms via homogeneity of parameters, homogeneity of distributions, and multivariate normality

    Wiley Interdisciplinary Reviews: Computational Statistics

    Volume 6, Issue 1, January/February 2014, Pages: 56–73, Mortaza Jamshidian and Ke-Hai Yuan

    Version of Record online : 21 DEC 2013, DOI: 10.1002/wics.1287

  5. Identifiability and Estimation of Causal Effects in Randomized Trials with Noncompliance and Completely Nonignorable Missing Data

    Biometrics

    Volume 65, Issue 3, September 2009, Pages: 675–682, Hua Chen, Zhi Geng and Xiao-Hua Zhou

    Version of Record online : 28 AUG 2008, DOI: 10.1111/j.1541-0420.2008.01120.x

  6. Subsample ignorable likelihood for regression analysis with missing data

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

    Volume 60, Issue 4, August 2011, Pages: 591–605, Roderick J. Little and Nanhua Zhang

    Version of Record online : 26 MAY 2011, DOI: 10.1111/j.1467-9876.2011.00763.x

  7. Maximum Likelihood Methods for Nonignorable Missing Responses and Covariates in Random Effects Models

    Biometrics

    Volume 59, Issue 4, December 2003, Pages: 1140–1150, Amy L. Stubbendick and Joseph G. Ibrahim

    Version of Record online : 11 DEC 2003, DOI: 10.1111/j.0006-341X.2003.00131.x

  8. An Extended General Location Model for Causal Inferences from Data Subject to Noncompliance and Missing Values

    Biometrics

    Volume 60, Issue 3, September 2004, Pages: 598–607, Yahong Peng, Roderick J. A. Little and Trivellore E. Raghunathan

    Version of Record online : 27 AUG 2004, DOI: 10.1111/j.0006-341X.2004.00208.x

  9. Rejoinder

    Biometrics

    Volume 65, Issue 3, September 2009, Pages: 689–691, Hua Chen, Zhi Geng and Xiao-Hua Zhou

    Version of Record online : 28 AUG 2008, DOI: 10.1111/j.1541-0420.2008.01123.x

  10. You have full text access to this OnlineOpen article
    How much can we learn about missing data?: an exploration of a clinical trial in psychiatry

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

    Volume 173, Issue 3, July 2010, Pages: 593–612, Dan Jackson, Ian R. White and Morven Leese

    Version of Record online : 4 JAN 2010, DOI: 10.1111/j.1467-985X.2009.00627.x

  11. Meta-Analysis of Studies with Missing Data

    Biometrics

    Volume 65, Issue 2, June 2009, Pages: 487–496, Ying Yuan and Roderick J. A. Little

    Version of Record online : 28 JUN 2008, DOI: 10.1111/j.1541-0420.2008.01068.x

  12. The design and conduct of clinical trials to limit missing data

    Statistics in Medicine

    Volume 31, Issue 28, 10 December 2012, Pages: 3433–3443, R. J. Little, M. L. Cohen, K. Dickersin, S. S. Emerson, J. T. Farrar, J. D. Neaton, W. Shih, J. P. Siegel and H. Stern

    Version of Record online : 25 JUL 2012, DOI: 10.1002/sim.5519

  13. Discussions

    Biometrics

    Volume 65, Issue 3, September 2009, Pages: 686–689, Stijn Vansteelandt

    Version of Record online : 28 AUG 2008, DOI: 10.1111/j.1541-0420.2008.01122.x

  14. Semiparametric Models for Missing Covariate and Response Data in Regression Models

    Biometrics

    Volume 62, Issue 1, March 2006, Pages: 177–184, Qingxia Chen and Joseph G. Ibrahim

    Version of Record online : 28 SEP 2005, DOI: 10.1111/j.1541-0420.2005.00438.x

  15. Missing covariates in generalized linear models when the missing data mechanism is non-ignorable

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

    Volume 61, Issue 1, 1999, Pages: 173–190, J. G. Ibrahim, S. R. Lipsitz and M.-H. Chen

    Version of Record online : 6 JAN 2002, DOI: 10.1111/1467-9868.00170

  16. A penalized EM algorithm incorporating missing data mechanism for Gaussian parameter estimation

    Biometrics

    Volume 70, Issue 2, June 2014, Pages: 312–322, Lin S. Chen, Ross L. Prentice and Pei Wang

    Version of Record online : 28 JAN 2014, DOI: 10.1111/biom.12149

  17. Missing data in the exposure of interest and marginal structural models: A simulation study based on the Framingham Heart Study

    Statistics in Medicine

    Volume 29, Issue 4, 20 February 2010, Pages: 431–443, Susan M. Shortreed and Andrew B. Forbes

    Version of Record online : 21 DEC 2009, DOI: 10.1002/sim.3801

  18. Discussion of “Identifiability and Estimation of Causal Effects in Randomized Trials with Noncompliance and Completely Nonignorable Missing Data”

    Biometrics

    Volume 65, Issue 3, September 2009, Pages: 682–686, Dylan S. Small and Jing Cheng

    Version of Record online : 28 AUG 2008, DOI: 10.1111/j.1541-0420.2008.01121.x

  19. Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates

    Biometrics

    Volume 61, Issue 3, September 2005, Pages: 767–780, Lan Huang, Ming-Hui Chen and Joseph G. Ibrahim

    Version of Record online : 14 APR 2005, DOI: 10.1111/j.1541-0420.2005.00338.x

  20. Bayesian sensitivity models for missing covariates in the analysis of survival data

    Journal of Evaluation in Clinical Practice

    Volume 18, Issue 2, April 2012, Pages: 238–246, Karla Hemming and Jane Luise Hutton

    Version of Record online : 30 NOV 2010, DOI: 10.1111/j.1365-2753.2010.01569.x