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Statistical methods for assessing the influence of study characteristics on treatment effects in 'meta-epidemiological' research.
Sterne JA, Jüni P, Schulz KF, Altman DG, Bartlett C, Egger M. Sterne JA, et al. Among authors: juni p. Stat Med. 2002 Jun 15;21(11):1513-24. doi: 10.1002/sim.1184. Stat Med. 2002. PMID: 12111917
Assessing bone loss on radiographs of the knee in osteoarthritis: a cross-sectional study.
Dieppe PA, Reichenbach S, Williams S, Gregg P, Watt I, Jüni P. Dieppe PA, et al. Among authors: juni p. Arthritis Rheum. 2005 Nov;52(11):3536-41. doi: 10.1002/art.21418. Arthritis Rheum. 2005. PMID: 16255025
Integrating fragmented evidence by network meta-analysis: relative effectiveness of psychological interventions for adults with post-traumatic stress disorder.
Gerger H, Munder T, Gemperli A, Nüesch E, Trelle S, Jüni P, Barth J. Gerger H, et al. Among authors: juni p. Psychol Med. 2014 Nov;44(15):3151-64. doi: 10.1017/S0033291714000853. Epub 2014 Apr 16. Psychol Med. 2014. PMID: 25066766
Development of a combined database for meta-epidemiological research.
Savović J, Harris RJ, Wood L, Beynon R, Altman D, Als-Nielsen B, Balk EM, Deeks J, Gluud LL, Gluud C, Ioannidis JP, Jűni P, Moher D, Pildal J, Schulz KF, Sterne JA. Savović J, et al. Among authors: juni p. Res Synth Methods. 2010 Jul;1(3-4):212-25. doi: 10.1002/jrsm.18. Epub 2010 Nov 30. Res Synth Methods. 2010. PMID: 26061467
Small study effects in meta-analyses of osteoarthritis trials: meta-epidemiological study.
Nüesch E, Trelle S, Reichenbach S, Rutjes AW, Tschannen B, Altman DG, Egger M, Jüni P. Nüesch E, et al. Among authors: juni p. BMJ. 2010 Jul 16;341:c3515. doi: 10.1136/bmj.c3515. BMJ. 2010. PMID: 20639294 Free PMC article.
RESULTS: On average, treatment effects were more beneficial in small than in large trials (difference in effect sizes -0.21, 95% confidence interval -0.34 to -0.08, P=0.001). ...
RESULTS: On average, treatment effects were more beneficial in small than in large trials (difference in effect sizes -0.21, 95% confidence …
ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.
Sterne JA, Hernán MA, Reeves BC, Savović J, Berkman ND, Viswanathan M, Henry D, Altman DG, Ansari MT, Boutron I, Carpenter JR, Chan AW, Churchill R, Deeks JJ, Hróbjartsson A, Kirkham J, Jüni P, Loke YK, Pigott TD, Ramsay CR, Regidor D, Rothstein HR, Sandhu L, Santaguida PL, Schünemann HJ, Shea B, Shrier I, Tugwell P, Turner L, Valentine JC, Waddington H, Waters E, Wells GA, Whiting PF, Higgins JP. Sterne JA, et al. Among authors: juni p. BMJ. 2016 Oct 12;355:i4919. doi: 10.1136/bmj.i4919. BMJ. 2016. PMID: 27733354 Free PMC article.
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.
Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, Savovic J, Schulz KF, Weeks L, Sterne JA; Cochrane Bias Methods Group; Cochrane Statistical Methods Group. Higgins JP, et al. Among authors: juni p. BMJ. 2011 Oct 18;343:d5928. doi: 10.1136/bmj.d5928. BMJ. 2011. PMID: 22008217 Free PMC article.
Influence of reported study design characteristics on intervention effect estimates from randomized, controlled trials.
Savović J, Jones HE, Altman DG, Harris RJ, Jüni P, Pildal J, Als-Nielsen B, Balk EM, Gluud C, Gluud LL, Ioannidis JP, Schulz KF, Beynon R, Welton NJ, Wood L, Moher D, Deeks JJ, Sterne JA. Savović J, et al. Among authors: juni p. Ann Intern Med. 2012 Sep 18;157(6):429-38. doi: 10.7326/0003-4819-157-6-201209180-00537. Ann Intern Med. 2012. PMID: 22945832
How valuable are multiple treatment comparison methods in evidence-based health-care evaluation?
Cooper NJ, Peters J, Lai MC, Juni P, Wandel S, Palmer S, Paulden M, Conti S, Welton NJ, Abrams KR, Bujkiewicz S, Spiegelhalter D, Sutton AJ. Cooper NJ, et al. Among authors: juni p. Value Health. 2011 Mar-Apr;14(2):371-80. doi: 10.1016/j.jval.2010.09.001. Epub 2011 Feb 5. Value Health. 2011. PMID: 21296599
Combining follow-up and change data is valid in meta-analyses of continuous outcomes: a meta-epidemiological study.
da Costa BR, Nüesch E, Rutjes AW, Johnston BC, Reichenbach S, Trelle S, Guyatt GH, Jüni P. da Costa BR, et al. Among authors: juni p. J Clin Epidemiol. 2013 Aug;66(8):847-55. doi: 10.1016/j.jclinepi.2013.03.009. Epub 2013 Jun 6. J Clin Epidemiol. 2013. PMID: 23747228 Review.
On average, SMDs were 0.04 standard deviation units more beneficial when follow-up values were used (difference in SMDs: -0.04; 95% confidence interval: -0.13, 0.06; P=0.44). ...
On average, SMDs were 0.04 standard deviation units more beneficial when follow-up values were used (difference in SMDs: -0.04; 95% confiden …
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