Comments on: Missing data methods in longitudinal studies: A review

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Volumn 18, Issue 1, 2009, Pages 51-58

  Daniels, Michael J ^a   Wang, Chenguang ^a  

^a University of Florida   (United States)

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[No Author keywords available]

Indexed keywords

EID: 63049138893     PISSN: 11330686     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11749-009-0141-2     Document Type: Note

References (16)

1. A Azzalini 1994 Logistic regression for autocorrelated data with application to repeated measures Biometrika 81 4 767 775
2. Daniels MJ, Hogan JW (2008) Missing data in longitudinal studies: strategies for Bayesian modeling and sensitivity analysis. Chapman & Hall/CRC, London/Boca Raton
3. G Fitzmaurice N Laird L Shneyer 2001 An alternative parameterization of the general linear mixture model for longitudinal data with non-ignorable drop-outs Stat Med 20 7 1009 1021
4. P Heagerty 1999 Marginally specified logistic-normal models for longitudinal binary data Biometrics 55 3 688 698
5. P Heagerty 2002 Marginalized transition models and likelihood inference for longitudinal categorical data Biometrics 58 2 342 351
6. RJA Little 1993 Pattern-mixture models for multivariate incomplete data J Am Stat Assoc 88 421 125 134
7. RJA Little 1994 A class of pattern-mixture models for normal incomplete data Biometrika 81 3 471 483
8. G Molenberghs B Michiels M Kenward P Diggle 1998 Monotone missing data and pattern-mixture models Stat Neerl 52 2 153 161
9. A Rotnitzky J Robins DO Scharfstein 1998 Semiparametric regression for repeated outcomes with nonignorable nonresponse J Am Stat Assoc 93 444 1321 1322
10. J Roy MJ Daniels 2008 A general class of pattern mixture models for nonignorable dropout with many possible dropout times Biometrics 64 538 545
11. DO Scharfstein MJ Daniels J Robins 2003 Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes Biostatistics 4 4 495 512
12. A Troxel G Ma D Heitjan 2004 An index of local sensitivity to nonignorability Stat Sin 14 4 1221 1238
13. Wang C, Daniels MJ (2009) A note on identifying restrictions in normal mixture models with and without covariates for incomplete data (working paper)
14. Wang C, Daniels MJ, Scharfstein DO (2009) Bayesian semiparametric selection models with application to a breast cancer prevention trial (working paper)
15. K Wilkins G Fitzmaurice 2006 A hybrid model for nonignorable dropout in longitudinal binary responses Biometrics 62 1 168 176
16. J Zhang D Heitjan 2006 A simple local sensitivity analysis tool for nonignorable coarsening: application to dependent censoring Biometrics 62 4 1260 1268