Presenting simulation results in a nested loop plot

BMC Medical Research Methodology

Volumn 14, Issue 1, 2014, Pages

  Rücker, Gerta ^a   Schwarzer, Guido ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Diagram; Graphical representation; Plot; Simulation study; Trellis plot

Indexed keywords

COMPUTER SIMULATION; HUMAN; META ANALYSIS (TOPIC); PUBLISHING; REGRESSION ANALYSIS; SELECTION BIAS; STATISTICAL ANALYSIS;

COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; META-ANALYSIS AS TOPIC; PUBLICATION BIAS; REGRESSION ANALYSIS; SELECTION BIAS;

EID: 84923868510     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-14-129     Document Type: Article

References (16)

1. Burton A, Altman DG, Royston P, Holder RL: The design of simulation studies inmedical statistics. Stat Med 2006, 25:4279-4292.
2. Koehler E, Brown E, Haneuse SJPA: On the assessment of Monte Carlo error in simulation-based statistical analyses. Am Stat 2009, 63(2):155-162.
3. White IR: simsum: Analyses of simulation studies including Monte Carlo error. Stat J 2010, 10(3):369-38517.
4. Harbord RM, Egger M, Sterne JAC: A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints. Stat Med 2006, 25 (20):3443-3457.
5. Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L: Comparison of two methods to detect publication bias inmeta-analysis. J Am Med Assoc 2006, 295:676-680.
6. Schwarzer G, Antes G, Schumacher M: A test for publication bias in meta-analysis with sparse binary data. Stat Med 2007, 26: 721-733.
7. Rücker G, Schwarzer G, Carpenter JR: Arcsine test for publication bias in meta-analyses with binary outcomes. Stat Med 2008, 27(5):746-763.
8. Moreno SG, Sutton AJ, Ades AE, Stanley TD, Abrams KR, Peters JL, Cooper NJ: Assessment of regression-based methods to adjust for publication bias through a comprehensive simulation study. BMC Med Res Methodol 2009, 9: 2.
9. Rücker G, Schwarzer G, Carpenter J, Binder H, Schumacher M: Treatment effect estimates adjusted for small-study effects via a limit meta-analysis. Biostatistics 2010, 12(1):122-142. doi:10.1136/jme.2008.024521.
10. Rücker G, Carpenter J, Schwarzer G: Detecting and adjusting for small-study effects inmeta-analysis. Biom J 2011, 53(2):351-368.
11. Bradburn MJ, Deeks JJ, Berlin JA, Localio AR: Much ado about nothing: a comparison of the performance ofmeta-analytical methods with rare events. Stat Med 2007, 26: 53-77.
12. Rücker G, Schwarzer G, Carpenter J, Olkin I: Why add anything to nothing? The arcsine difference as a measure of treatment effect in meta-analysis with zero cells. Stat Med 2009, 28(5):721-738.
13. Kulinskaya E, Morgenthaler S, Staudte RG: Combining the evidence using stable weights. Res Synth Methods 2011, 3-4: 284-296.
14. Yusuf S, Peto R, Lewis J, Collins R, Sleight P: Beta blockade during and after myocardial infarction: an overview of the randomized trials. Prog Cardiovasc Dis 1985, 27: 335-371.
15. Duval S, Tweedie R: A nonparametric "Trim and Fill" method of accounting for publication bias inmeta-analysis. J AmStat Assoc 2000, 95: 89-98.
16. Sweeting MJ, Sutton AJ, Lambert PC: What to add to nothing? Use and avoidance of continuity corrections inmeta-analysis of sparse data. Stat Med 2004, 23: 1351-1375.