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There are 10472 results for: content related to: Examining missing data mechanisms via homogeneity of parameters, homogeneity of distributions, and multivariate normality

  1. Missing Data in Longitudinal Studies

    Longitudinal Data Analysis

    Hedeker Donald, Gibbons Robert D., Pages: 279–312, 2006

    Published Online : 11 APR 2006, DOI: 10.1002/0470036486.ch14

  2. Weighted estimating equations for longitudinal studies with death and non-monotone missing time-dependent covariates and outcomes

    Statistics in Medicine

    Volume 27, Issue 7, 30 March 2008, Pages: 1008–1025, Michelle Shardell and Ram R. Miller

    Version of Record online : 20 JUN 2007, DOI: 10.1002/sim.2964

  3. Identifying the types of missingness in quality of life data from clinical trials

    Statistics in Medicine

    Volume 17, Issue 5-7, 15 March - 15 April 1998, Pages: 739–756, D. Curran, M. Bacchi, S. F. Hsu Schmitz, G. Molenberghs and R. J. Sylvester

    Version of Record online : 4 DEC 1998, DOI: 10.1002/(SICI)1097-0258(19980315/15)17:5/7<739::AID-SIM818>3.0.CO;2-M

  4. 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

  5. Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values

    Statistics in Medicine

    Volume 29, Issue 28, 10 December 2010, Pages: 2920–2931, Ian R. White and John B. Carlin

    Version of Record online : 13 SEP 2010, DOI: 10.1002/sim.3944

  6. Bias due to missing exposure data using complete-case analysis in the proportional hazards regression model

    Statistics in Medicine

    Volume 22, Issue 4, 28 February 2003, Pages: 545–557, Serkalem Demissie, Michael P. LaValley, Nicholas J. Horton, Robert J. Glynn and L. Adrienne Cupples

    Version of Record online : 28 JAN 2003, DOI: 10.1002/sim.1340

  7. Statistical analysis of quality of life with missing data in cancer clinical trials

    Statistics in Medicine

    Volume 17, Issue 5-7, 15 March - 15 April 1998, Pages: 653–666, Andrea B. Troxel, Diane L. Fairclough, Desmond Curran and Elizabeth A. Hahn

    Version of Record online : 4 DEC 1998, DOI: 10.1002/(SICI)1097-0258(19980315/15)17:5/7<653::AID-SIM812>3.0.CO;2-M

  8. THE ANALYSIS OF INCOMPLETE DATA IN THE THREE-PERIOD TWO-TREATMENT CROSS-OVER DESIGN FOR CLINICAL TRIALS

    Statistics in Medicine

    Volume 15, Issue 2, 30 January 1996, Pages: 127–143, BARBRA A. RICHARDSON and VIRGINIA F. FLACK

    Version of Record online : 4 DEC 1998, DOI: 10.1002/(SICI)1097-0258(19960130)15:2<127::AID-SIM157>3.0.CO;2-D

  9. Performance of weighted estimating equations for longitudinal binary data with drop-outs missing at random

    Statistics in Medicine

    Volume 21, Issue 20, 30 October 2002, Pages: 3035–3054, John S. Preisser, Kurt K. Lohman and Paul J. Rathouz

    Version of Record online : 3 OCT 2002, DOI: 10.1002/sim.1241

  10. Variable selection in the presence of missing data: imputation-based methods

    Wiley Interdisciplinary Reviews: Computational Statistics

    Yize Zhao and Qi Long

    Version of Record online : 24 MAY 2017, DOI: 10.1002/wics.1402

  11. Imputation

    Wiley Interdisciplinary Reviews: Computational Statistics

    Volume 5, Issue 1, January/February 2013, Pages: 20–29, Susanne Rässler, Donald B. Rubin and Elizabeth R. Zell

    Version of Record online : 26 DEC 2012, DOI: 10.1002/wics.1240

  12. Handling drop-out in longitudinal studies

    Statistics in Medicine

    Volume 23, Issue 9, 15 May 2004, Pages: 1455–1497, Joseph W. Hogan, Jason Roy and Christina Korkontzelou

    Version of Record online : 6 APR 2004, DOI: 10.1002/sim.1728

  13. Sensitivity analysis of longitudinal binary quality of life data with drop-out: an example using the EORTC QLQ-C30

    Statistics in Medicine

    Volume 20, Issue 24, 30 December 2001, Pages: 3901–3920, Kristel Van Steen, Desmond Curran and Geert Molenberghs

    Version of Record online : 20 DEC 2001, DOI: 10.1002/sim.1081

  14. Observer error, dental wear, and the inference of new world sundadonty

    American Journal of Physical Anthropology

    Volume 156, Issue 3, March 2015, Pages: 349–362, Christopher M. Stojanowski and Kent M. Johnson

    Version of Record online : 3 NOV 2014, DOI: 10.1002/ajpa.22653

  15. Impact of missing data due to drop-outs on estimators for rates of change in longitudinal studies: a simulation study

    Statistics in Medicine

    Volume 20, Issue 24, 30 December 2001, Pages: 3715–3728, G. Touloumi, A. G. Babiker, S. J. Pocock and J. H. Darbyshire

    Version of Record online : 20 DEC 2001, DOI: 10.1002/sim.1114

  16. Missing Data in Long-term Follow-up of Patients with Eating Disorders Using the Body Attitude Test

    European Eating Disorders Review

    Volume 21, Issue 3, May 2013, Pages: 224–229, Candida Geerdens, Johan Vanderlinden, Guido Pieters, Amber De Herdt and Michel Probst

    Version of Record online : 11 OCT 2012, DOI: 10.1002/erv.2205

  17. Terminology and Framework

    Missing Data in Clinical Studies

    Geert Molenberghs, Michael G. Kenward, Pages: 27–37, 2007

    Published Online : 11 MAY 2007, DOI: 10.1002/9780470510445.ch3

  18. A Pseudo-Bayesian Shrinkage Approach to Regression with Missing Covariates

    Biometrics

    Volume 68, Issue 3, September 2012, Pages: 933–942, Nanhua Zhang and Roderick J. Little

    Version of Record online : 7 DEC 2011, DOI: 10.1111/j.1541-0420.2011.01718.x

  19. Simultaneous Inference and Bias Analysis for Longitudinal Data with Covariate Measurement Error and Missing Responses

    Biometrics

    Volume 67, Issue 1, March 2011, Pages: 67–75, G. Y. Yi, W. Liu and Lang Wu

    Version of Record online : 28 MAY 2010, DOI: 10.1111/j.1541-0420.2010.01437.x

  20. 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