Little RJA - Search Results

1

A simulation study of diagnostics for selection bias.

Boonstra PS, Little RJA, West BT, Andridge RR, Alvarado-Leiton F. Boonstra PS, et al. Among authors: little rja. J Off Stat. 2021 Sep;37(3):751-769. doi: 10.2478/jos-2021-0033. Epub 2021 Sep 12. J Off Stat. 2021. PMID: 34566235 Free PMC article.

2

An evaluation of asthma interventions for preteen students.

Clark NM, Shah S, Dodge JA, Thomas LJ, Andridge RR, Little RJ. Clark NM, et al. J Sch Health. 2010 Feb;80(2):80-7. doi: 10.1111/j.1746-1561.2009.00469.x. J Sch Health. 2010. PMID: 20236406 Free PMC article. Clinical Trial.

3

The Use of Sample Weights in Hot Deck Imputation.

Andridge RR, Little RJ. Andridge RR, et al. J Off Stat. 2009;25(1):21-36. J Off Stat. 2009. PMID: 21691591 Free PMC article.

4

A Review of Hot Deck Imputation for Survey Non-response.

Andridge RR, Little RJ. Andridge RR, et al. Int Stat Rev. 2010 Apr;78(1):40-64. doi: 10.1111/j.1751-5823.2010.00103.x. Int Stat Rev. 2010. PMID: 21743766 Free PMC article.

5

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

Little RJ, Cohen ML, Dickersin K, Emerson SS, Farrar JT, Neaton JD, Shih W, Siegel JP, Stern H. Little RJ, et al. Stat Med. 2012 Dec 10;31(28):3433-43. doi: 10.1002/sim.5519. Epub 2012 Jul 25. Stat Med. 2012. PMID: 22829439 Free PMC article.

6

Indices of non-ignorable selection bias for proportions estimated from non-probability samples.

Andridge RR, West BT, Little RJA, Boonstra PS, Alvarado-Leiton F. Andridge RR, et al. Among authors: little rja. J R Stat Soc Ser C Appl Stat. 2019 Nov;68(5):1465-1483. doi: 10.1111/rssc.12371. Epub 2019 Aug 2. J R Stat Soc Ser C Appl Stat. 2019. PMID: 33304001 Free PMC article.

7

Measures of the Degree of Departure from Ignorable Sample Selection.

Little RJA, West BT, Boonstra PS, Hu J. Little RJA, et al. J Surv Stat Methodol. 2020 Nov;8(5):932-964. doi: 10.1093/jssam/smz023. Epub 2019 Aug 29. J Surv Stat Methodol. 2020. PMID: 33381610 Free PMC article.

8

Bayesian sensitivity analyses for longitudinal data with dropouts that are potentially missing not at random: A high dimensional pattern-mixture model.

Kaciroti NA, Little RJA. Kaciroti NA, et al. Among authors: little rja. Stat Med. 2021 Sep 20;40(21):4609-4628. doi: 10.1002/sim.9083. Epub 2021 Jun 2. Stat Med. 2021. PMID: 34405912

9

ASSESSING SELECTION BIAS IN REGRESSION COEFFICIENTS ESTIMATED FROM NONPROBABILITY SAMPLES WITH APPLICATIONS TO GENETICS AND DEMOGRAPHIC SURVEYS.

West BT, Little RJ, Andridge RR, Boonstra PS, Ware EB, Pandit A, Alvarado-Leiton F. West BT, et al. Ann Appl Stat. 2021 Sep;15(3):1556-1581. doi: 10.1214/21-aoas1453. Epub 2021 Sep 23. Ann Appl Stat. 2021. PMID: 35237377 Free PMC article.

10

On summary measures analysis of the linear mixed effects model for repeated measures when data are not missing completely at random.

Little RJ, Raghunathan T. Little RJ, et al. Stat Med. 1999 Sep 15-30;18(17-18):2465-78. doi: 10.1002/(sici)1097-0258(19990915/30)18:17/18<2465::aid-sim269>3.0.co;2-2. Stat Med. 1999. PMID: 10474153 Free article.

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