Format
Items per page
Sort by

Send to:

Choose Destination

Links from PubMed

Items: 1 to 20 of 87

1.

Multiple imputation of missing blood pressure covariates in survival analysis.

van Buuren S, Boshuizen HC, Knook DL.

Stat Med. 1999 Mar 30;18(6):681-94.

PMID:
10204197
2.

Multiple imputation of baseline data in the cardiovascular health study.

Arnold AM, Kronmal RA.

Am J Epidemiol. 2003 Jan 1;157(1):74-84.

3.

[Meta-analysis of the Italian studies on short-term effects of air pollution].

Biggeri A, Bellini P, Terracini B; Italian MISA Group.

Epidemiol Prev. 2001 Mar-Apr;25(2 Suppl):1-71. Italian.

PMID:
11515188
4.
5.
6.

A multiple imputation model for imputing missing physiologic data in the national trauma data bank.

Moore L, Hanley JA, Turgeon AF, Lavoie A, Emond M.

J Am Coll Surg. 2009 Nov;209(5):572-9. doi: 10.1016/j.jamcollsurg.2009.07.004. Epub 2009 Sep 17.

PMID:
19854396
7.

Modeling major lung resection outcomes using classification trees and multiple imputation techniques.

Ferguson MK, Siddique J, Karrison T.

Eur J Cardiothorac Surg. 2008 Nov;34(5):1085-9. doi: 10.1016/j.ejcts.2008.07.037. Epub 2008 Aug 29.

PMID:
18760930
8.

Imputation methods for missing data for polygenic models.

Fridley B, Rabe K, de Andrade M.

BMC Genet. 2003 Dec 31;4 Suppl 1:S42.

9.

Extended follow-up and spatial analysis of the American Cancer Society study linking particulate air pollution and mortality.

Krewski D, Jerrett M, Burnett RT, Ma R, Hughes E, Shi Y, Turner MC, Pope CA 3rd, Thurston G, Calle EE, Thun MJ, Beckerman B, DeLuca P, Finkelstein N, Ito K, Moore DK, Newbold KB, Ramsay T, Ross Z, Shin H, Tempalski B.

Res Rep Health Eff Inst. 2009 May;(140):5-114; discussion 115-36.

PMID:
19627030
10.

Multiple imputation for missing data.

Patrician PA.

Res Nurs Health. 2002 Feb;25(1):76-84. Review.

PMID:
11807922
11.

Developing a prognostic model in the presence of missing data: an ovarian cancer case study.

Clark TG, Altman DG.

J Clin Epidemiol. 2003 Jan;56(1):28-37.

PMID:
12589867
12.

Combining multiple imputation and meta-analysis with individual participant data.

Burgess S, White IR, Resche-Rigon M, Wood AM.

Stat Med. 2013 Nov 20;32(26):4499-514. doi: 10.1002/sim.5844. Epub 2013 May 24.

13.

Effects of long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in the Netherlands: the NLCS-AIR study.

Brunekreef B, Beelen R, Hoek G, Schouten L, Bausch-Goldbohm S, Fischer P, Armstrong B, Hughes E, Jerrett M, van den Brandt P.

Res Rep Health Eff Inst. 2009 Mar;(139):5-71; discussion 73-89.

PMID:
19554969
14.

Multiple imputation methods for longitudinal blood pressure measurements from the Framingham Heart Study.

Kang T, Kraft P, Gauderman WJ, Thomas D; Framingham Heart Study.

BMC Genet. 2003 Dec 31;4 Suppl 1:S43.

15.

A multiple imputation strategy for incomplete longitudinal data.

Landrum MB, Becker MP.

Stat Med. 2001 Sep 15-30;20(17-18):2741-60.

PMID:
11523080
16.
17.
18.

Imputation of missing longitudinal data: a comparison of methods.

Engels JM, Diehr P.

J Clin Epidemiol. 2003 Oct;56(10):968-76.

PMID:
14568628
19.

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

Touloumi G, Babiker AG, Pocock SJ, Darbyshire JH.

Stat Med. 2001 Dec 30;20(24):3715-28.

PMID:
11782028
20.

[Multiple imputation of missing at random data: General points and presentation of a Monte-Carlo method].

Cottrell G, Cot M, Mary JY.

Rev Epidemiol Sante Publique. 2009 Oct;57(5):361-72. doi: 10.1016/j.respe.2009.04.011. Epub 2009 Aug 11. French.

PMID:
19674855
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk