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Items: 1 to 20 of 166

1.
2.

Network meta-analysis of survival data with fractional polynomials.

Jansen JP.

BMC Med Res Methodol. 2011 May 6;11:61. doi: 10.1186/1471-2288-11-61.

3.

Bias in identification of the best treatment in a Bayesian network meta-analysis for binary outcome: a simulation study.

Kibret T, Richer D, Beyene J.

Clin Epidemiol. 2014 Dec 3;6:451-60. doi: 10.2147/CLEP.S69660.

4.

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.

5.

Network meta-analysis on the log-hazard scale, combining count and hazard ratio statistics accounting for multi-arm trials: a tutorial.

Woods BS, Hawkins N, Scott DA.

BMC Med Res Methodol. 2010 Jun 10;10:54. doi: 10.1186/1471-2288-10-54.

6.

Meta-analysis of repeated measures study designs.

Peters JL, Mengersen KL.

J Eval Clin Pract. 2008 Oct;14(5):941-50. doi: 10.1111/j.1365-2753.2008.01010.x. Review.

PMID:
19018929
7.

Modelling heterogeneity variances in multiple treatment comparison meta-analysis--are informative priors the better solution?

Thorlund K, Thabane L, Mills EJ.

BMC Med Res Methodol. 2013 Jan 11;13:2. doi: 10.1186/1471-2288-13-2.

8.
9.

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.

10.

Network meta-analysis of parametric survival curves.

Ouwens MJ, Philips Z, Jansen JP.

Res Synth Methods. 2010 Jul;1(3-4):258-71. doi: 10.1002/jrsm.25.

PMID:
26061470
11.

A non-parametric procedure for evaluating treatment effect in the meta-analysis of survival data.

Moodie PF, Nelson NA, Koch GG.

Stat Med. 2004 Apr 15;23(7):1075-93.

PMID:
15057879
12.

Profile-specific survival estimates: making reports of clinical trials more patient-relevant.

Julien M, Hanley JA.

Clin Trials. 2008;5(2):107-15. doi: 10.1177/1740774508089511.

PMID:
18375648
13.

Maximum androgen blockade in advanced prostate cancer: a meta-analysis of published randomized controlled trials using nonsteroidal antiandrogens.

Caubet JF, Tosteson TD, Dong EW, Naylon EM, Whiting GW, Ernstoff MS, Ross SD.

Urology. 1997 Jan;49(1):71-8.

PMID:
9000189
14.

Implementing a decision-theoretic design in clinical trials: why and how?

Palmer CR, Shahumyan H.

Stat Med. 2007 Nov 30;26(27):4939-57.

PMID:
17582801
15.

A method for sequential analysis of survival data with nonproportional hazards.

Sooriyarachchi MR, Whitehead J.

Biometrics. 1998 Sep;54(3):1072-84.

PMID:
9750253
16.

[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
17.

Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves.

Guyot P, Ades AE, Ouwens MJ, Welton NJ.

BMC Med Res Methodol. 2012 Feb 1;12:9. doi: 10.1186/1471-2288-12-9.

18.

Semiparametric methods for multistate survival models in randomised trials.

Hudson HM, Lô SN, Simes RJ, Tonkin AM, Heritier S.

Stat Med. 2014 May 10;33(10):1621-45. doi: 10.1002/sim.6060.

PMID:
24338893
19.

Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1.

Jansen JP, Fleurence R, Devine B, Itzler R, Barrett A, Hawkins N, Lee K, Boersma C, Annemans L, Cappelleri JC.

Value Health. 2011 Jun;14(4):417-28. doi: 10.1016/j.jval.2011.04.002.

20.

Using full probability models to compute probabilities of actual interest to decision makers.

Harrell FE Jr, Shih YC.

Int J Technol Assess Health Care. 2001 Winter;17(1):17-26.

PMID:
11329842
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