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Items: 1 to 20 of 200

1.

Evaluating the impact of imputations for missing participant outcome data in a network meta-analysis.

Spineli LM, Higgins JP, Cipriani A, Leucht S, Salanti G.

Clin Trials. 2013;10(3):378-88. doi: 10.1177/1740774512470317. Epub 2013 Jan 15.

PMID:
23321265
2.

Allowing for uncertainty due to missing data in meta-analysis--part 1: two-stage methods.

White IR, Higgins JP, Wood AM.

Stat Med. 2008 Feb 28;27(5):711-27.

PMID:
17703496
3.

Allowing for uncertainty due to missing data in meta-analysis--part 2: hierarchical models.

White IR, Welton NJ, Wood AM, Ades AE, Higgins JP.

Stat Med. 2008 Feb 28;27(5):728-45.

PMID:
17703502
4.

Imputation methods for missing outcome data in meta-analysis of clinical trials.

Higgins JP, White IR, Wood AM.

Clin Trials. 2008;5(3):225-39. doi: 10.1177/1740774508091600.

5.

Addressing missing outcome data in meta-analysis.

Mavridis D, Chaimani A, Efthimiou O, Leucht S, Salanti G.

Evid Based Ment Health. 2014 Aug;17(3):85-9. doi: 10.1136/eb-2014-101900. Epub 2014 Jul 9.

PMID:
25009175
6.

A note on dealing with missing standard errors in meta-analyses of continuous outcome measures in WinBUGS.

Stevens JW.

Pharm Stat. 2011 Jul-Aug;10(4):374-8. doi: 10.1002/pst.491. Epub 2011 Mar 11.

PMID:
21394888
7.

Imputation strategies for missing binary outcomes in cluster randomized trials.

Ma J, Akhtar-Danesh N, Dolovich L, Thabane L; CHAT investigators.

BMC Med Res Methodol. 2011 Feb 16;11:18. doi: 10.1186/1471-2288-11-18.

8.

Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta-analysis.

Mavridis D, White IR, Higgins JP, Cipriani A, Salanti G.

Stat Med. 2015 Feb 28;34(5):721-41. doi: 10.1002/sim.6365. Epub 2014 Nov 13.

PMID:
25393541
9.

Adjustment for reporting bias in network meta-analysis of antidepressant trials.

Trinquart L, Chatellier G, Ravaud P.

BMC Med Res Methodol. 2012 Sep 27;12:150. doi: 10.1186/1471-2288-12-150.

10.

A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta-analysis.

Turner NL, Dias S, Ades AE, Welton NJ.

Stat Med. 2015 May 30;34(12):2062-80. doi: 10.1002/sim.6475. Epub 2015 Mar 24.

PMID:
25809313
11.
12.

Network meta-analysis of multiple outcome measures accounting for borrowing of information across outcomes.

Achana FA, Cooper NJ, Bujkiewicz S, Hubbard SJ, Kendrick D, Jones DR, Sutton AJ.

BMC Med Res Methodol. 2014 Jul 21;14:92. doi: 10.1186/1471-2288-14-92.

13.

Impact of reporting bias in network meta-analysis of antidepressant placebo-controlled trials.

Trinquart L, Abbé A, Ravaud P.

PLoS One. 2012;7(4):e35219. doi: 10.1371/journal.pone.0035219. Epub 2012 Apr 20.

14.

Uncertainty method improved on best-worst case analysis in a binary meta-analysis.

Gamble C, Hollis S.

J Clin Epidemiol. 2005 Jun;58(6):579-88. Review.

PMID:
15878471
15.

How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS.

Lambert PC, Sutton AJ, Burton PR, Abrams KR, Jones DR.

Stat Med. 2005 Aug 15;24(15):2401-28.

PMID:
16015676
16.

Network meta-analysis with competing risk outcomes.

Ades AE, Mavranezouli I, Dias S, Welton NJ, Whittington C, Kendall T.

Value Health. 2010 Dec;13(8):976-83. doi: 10.1111/j.1524-4733.2010.00784.x. Epub 2010 Sep 3.

PMID:
20825617
17.

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.

18.

[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
19.

Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches.

Akl EA, Kahale LA, Agoritsas T, Brignardello-Petersen R, Busse JW, Carrasco-Labra A, Ebrahim S, Johnston BC, Neumann I, Sola I, Sun X, Vandvik P, Zhang Y, Alonso-Coello P, Guyatt G.

Syst Rev. 2015 Jul 23;4:98. doi: 10.1186/s13643-015-0083-6.

20.

Newer generation antidepressants for depressive disorders in children and adolescents.

Hetrick SE, McKenzie JE, Cox GR, Simmons MB, Merry SN.

Cochrane Database Syst Rev. 2012 Nov 14;11:CD004851. doi: 10.1002/14651858.CD004851.pub3. Review.

PMID:
23152227
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