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Items: 1 to 20 of 95

1.

Using an Approximate Bayesian Bootstrap to Multiply Impute Nonignorable Missing Data.

Siddique J, Belin TR.

Comput Stat Data Anal. 2008 Dec 15;53(2):405-415.

2.

A Two-Step Approach for Analysis of Nonignorable Missing Outcomes in Longitudinal Regression: an Application to Upstate KIDS Study.

Liu D, Yeung EH, McLain AC, Xie Y, Buck Louis GM, Sundaram R.

Paediatr Perinat Epidemiol. 2017 Aug 2. doi: 10.1111/ppe.12382. [Epub ahead of print]

PMID:
28767145
3.

Treatment of nonignorable missing data when modeling unobserved heterogeneity with finite mixture models.

Lehmann T, Schlattmann P.

Biom J. 2017 Jan;59(1):159-171. doi: 10.1002/bimj.201500037. Epub 2016 Nov 2.

PMID:
27804147
5.
6.

Bayesian hierarchical models for network meta-analysis incorporating nonignorable missingness.

Zhang J, Chu H, Hong H, Virnig BA, Carlin BP.

Stat Methods Med Res. 2015 Jul 28. pii: 0962280215596185. [Epub ahead of print]

7.

Markov transition models for binary repeated measures with ignorable and nonignorable missing values.

Xiaowei Yang, Shoptaw S, Kun Nie, Juanmei Liu, Belin TR.

Stat Methods Med Res. 2007 Aug;16(4):347-64. Review.

PMID:
17715161
8.
9.

Adjusting for nonignorable missingness when estimating generalized additive models.

Xie H.

Biom J. 2010 Apr;52(2):186-200. doi: 10.1002/bimj.200900202.

PMID:
20422637
10.

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

Siddique J, Harel O, Crespi CM, Hedeker D.

Stat Med. 2014 Jul 30;33(17):3013-28. doi: 10.1002/sim.6137. Epub 2014 Mar 17.

11.

Imputing estrogen receptor (ER) status in a population-based cancer registry: a sensitivity analysis.

Andridge R, Noone AM, Howlader N.

Stat Med. 2017 Mar 15;36(6):1014-1028. doi: 10.1002/sim.7193. Epub 2016 Dec 5.

PMID:
27921315
12.

Identifiability and estimation of causal effects in randomized trials with noncompliance and completely nonignorable missing data.

Chen H, Geng Z, Zhou XH.

Biometrics. 2009 Sep;65(3):675-82. doi: 10.1111/j.1541-0420.2008.01120.x. Epub 2008 Aug 28.

13.

Multiple imputation for model checking: completed-data plots with missing and latent data.

Gelman A, Van Mechelen I, Verbeke G, Heitjan DF, Meulders M.

Biometrics. 2005 Mar;61(1):74-85.

PMID:
15737080
14.

Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial.

Muthén B, Asparouhov T, Hunter AM, Leuchter AF.

Psychol Methods. 2011 Mar;16(1):17-33. doi: 10.1037/a0022634.

15.

Nonignorable missingness in matched case-control data analyses.

Cho Paik M.

Biometrics. 2004 Jun;60(2):306-14.

PMID:
15180655
16.

Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data.

Lu ZL, Zhang Z, Lubke G.

Multivariate Behav Res. 2011 Jul 1;46(4):567-597.

18.

Bayesian Two-Part Tobit Models with Left-Censoring, Skewness, and Nonignorable Missingness.

Dagne GA, Huang Y.

J Biopharm Stat. 2015;25(4):714-30. doi: 10.1080/10543406.2014.920860.

PMID:
24905924
19.
20.

Multiple imputation using an iterative hot-deck with distance-based donor selection.

Siddique J, Belin TR.

Stat Med. 2008 Jan 15;27(1):83-102.

PMID:
17634973

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