-
1
-
-
0003505146
-
-
Wiley: Chichester
-
Sutton A, Abrams K, Jones DR, Sheldon TA, Song F. Methods for Meta-analysis in Medical Research. Wiley: Chichester, 2000.
-
(2000)
Methods for Meta-analysis in Medical Research
-
-
Sutton, A.1
Abrams, K.2
Jones, D.R.3
Sheldon, T.A.4
Song, F.5
-
3
-
-
84873451734
-
-
Higgins JPT, Green SE (eds). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from [Accessed 10 December 2011].
-
Higgins JPT, Green SE (eds). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from "http://www.cochrane-handbook.org" [Accessed 10 December 2011].
-
-
-
-
4
-
-
0030717641
-
Investigating underlying risk as a source of heterogeneity in meta-analysis
-
Thompson SG, Smith TC, Sharp SJ. Investigating underlying risk as a source of heterogeneity in meta-analysis. Statistics in Medicine 1997; 16:2741-2758.
-
(1997)
Statistics in Medicine
, vol.16
, pp. 2741-2758
-
-
Thompson, S.G.1
Smith, T.C.2
Sharp, S.J.3
-
5
-
-
69949092149
-
Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation
-
Cooper NJ, Sutton AJ, Morris D, Ades AE, Welton NJ. Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation. Statistics in Medicine 2009; 28:1861-1881.
-
(2009)
Statistics in Medicine
, vol.28
, pp. 1861-1881
-
-
Cooper, N.J.1
Sutton, A.J.2
Morris, D.3
Ades, A.E.4
Welton, N.J.5
-
6
-
-
0027058037
-
Importance of trends in the interpretation of an overall odds ratio in the meta-analysis of clinical trials
-
Brand R, Kragt H. Importance of trends in the interpretation of an overall odds ratio in the meta-analysis of clinical trials. Statistics in Medicine 1992; 11:2077-2082.
-
(1992)
Statistics in Medicine
, vol.11
, pp. 2077-2082
-
-
Brand, R.1
Kragt, H.2
-
7
-
-
0029785769
-
The relation between treatment benefit and underlying risk in meta-analysis
-
Sharp SJ, Thompson SG, Altman DG. The relation between treatment benefit and underlying risk in meta-analysis. BMJ 1996; 313:735-738.
-
(1996)
BMJ
, vol.313
, pp. 735-738
-
-
Sharp, S.J.1
Thompson, S.G.2
Altman, D.G.3
-
8
-
-
0030703680
-
Variation in baseline risk as an explanation of heterogeneity in meta-analysis
-
Walter SD. Variation in baseline risk as an explanation of heterogeneity in meta-analysis. Statistics in Medicine 1997; 16:2883-2900.
-
(1997)
Statistics in Medicine
, vol.16
, pp. 2883-2900
-
-
Walter, S.D.1
-
9
-
-
0029766918
-
The population risk as an explanatory variable in research synthesis of clinical trials
-
McIntosh MW. The population risk as an explanatory variable in research synthesis of clinical trials. Statistics in Medicine 1996; 15:1713-1728.
-
(1996)
Statistics in Medicine
, vol.15
, pp. 1713-1728
-
-
McIntosh, M.W.1
-
10
-
-
0034672272
-
Analysing the relationship between treatment effect and underlying risk in meta-analysis: comparison and development of approaches
-
Sharp SJ, Thompson SG. Analysing the relationship between treatment effect and underlying risk in meta-analysis: comparison and development of approaches. Statistics in Medicine 2000; 19:3251-3274.
-
(2000)
Statistics in Medicine
, vol.19
, pp. 3251-3274
-
-
Sharp, S.J.1
Thompson, S.G.2
-
11
-
-
0034736556
-
Baseline risk as predictor of treatment benefit: three clinical meta-re-analyses
-
Arends LR, Hoes AW, Lubsen J, Grobbee DE, Stijnen T. Baseline risk as predictor of treatment benefit: three clinical meta-re-analyses. Statistics in Medicine 2000; 19:3497-3518.
-
(2000)
Statistics in Medicine
, vol.19
, pp. 3497-3518
-
-
Arends, L.R.1
Hoes, A.W.2
Lubsen, J.3
Grobbee, D.E.4
Stijnen, T.5
-
12
-
-
0037186429
-
Advanced methods in meta-analysis: multivariate approach and meta-regression
-
van Houwelingen HC, Arends LR, Stijnen T. Advanced methods in meta-analysis: multivariate approach and meta-regression. Statistics in Medicine 2002; 21:589-624.
-
(2002)
Statistics in Medicine
, vol.21
, pp. 589-624
-
-
van Houwelingen, H.C.1
Arends, L.R.2
Stijnen, T.3
-
14
-
-
67649303082
-
A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered
-
Salanti G, Marinho V, Higgins JP. A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered. Journal of Clinical Epidemiology 2009; 62:857-864.
-
(2009)
Journal of Clinical Epidemiology
, vol.62
, pp. 857-864
-
-
Salanti, G.1
Marinho, V.2
Higgins, J.P.3
-
15
-
-
84873466978
-
-
NICE DSU Technical Support Document 3: Heterogeneity: subgroups, meta-regression, bias and bias-adjustment, Available from [Accessed 8 November 2011].
-
Dias S, Sutton AJ, Welton NJ, Ades AE. NICE DSU Technical Support Document 3: Heterogeneity: subgroups, meta-regression, bias and bias-adjustment, 2011. Available from: http://www.nicedsu.org.uk [Accessed 8 November 2011].
-
(2011)
-
-
Dias, S.1
Sutton, A.J.2
Welton, N.J.3
Ades, A.E.4
-
16
-
-
78649672029
-
Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data
-
Stijnen T, Hamza TH, Ozdemir P. Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data. Statistics in Medicine 2010; 29:3046-3067.
-
(2010)
Statistics in Medicine
, vol.29
, pp. 3046-3067
-
-
Stijnen, T.1
Hamza, T.H.2
Ozdemir, P.3
-
17
-
-
84855476074
-
Network meta-analysis to evaluate the effectiveness of interventions to increase the uptake of smoke alarms
-
Cooper NJ, Kendrick D, Achana F, Dhiman P, He Z, Wynn P, Le Cozannet E, Saramago P, Sutton AJ. Network meta-analysis to evaluate the effectiveness of interventions to increase the uptake of smoke alarms. Epidemiologic Reviews 2011; 34:32-45.
-
(2011)
Epidemiologic Reviews
, vol.34
, pp. 32-45
-
-
Cooper, N.J.1
Kendrick, D.2
Achana, F.3
Dhiman, P.4
He, Z.5
Wynn, P.6
Le Cozannet, E.7
Saramago, P.8
Sutton, A.J.9
-
18
-
-
77951451674
-
Paracetamol and selective and non-selective nonsteroidal anti-inflammatory drugs (NSAIDs) for the reduction of morphine-related side effects after major surgery: a systematic review
-
McDaid C, Maund E, Rice S, Wright K, Jenkins B, Woolacott N. Paracetamol and selective and non-selective nonsteroidal anti-inflammatory drugs (NSAIDs) for the reduction of morphine-related side effects after major surgery: a systematic review. Health Technology Assessment 2010; 14:1-153.
-
(2010)
Health Technology Assessment
, vol.14
, pp. 1-153
-
-
McDaid, C.1
Maund, E.2
Rice, S.3
Wright, K.4
Jenkins, B.5
Woolacott, N.6
-
19
-
-
84878520280
-
Modelling the effect of baseline risk in meta-analysis: a review from the perspective of errors-in-variables regression
-
DOI: 10.1177/0962280211412244.
-
Ghidey W, Stijnen T, van Houwelingen HC. Modelling the effect of baseline risk in meta-analysis: a review from the perspective of errors-in-variables regression. Statistical Methods in Medical Research 2011. DOI: 10.1177/0962280211412244.
-
(2011)
Statistical Methods in Medical Research
-
-
Ghidey, W.1
Stijnen, T.2
van Houwelingen, H.C.3
-
20
-
-
0033556393
-
Investigating underlying risk as a source of heterogeneity in meta-analysis
-
van Houwelingen H, Senn S. Investigating underlying risk as a source of heterogeneity in meta-analysis. Statistics in Medicine 1999; 18:110-115.
-
(1999)
Statistics in Medicine
, vol.18
, pp. 110-115
-
-
van Houwelingen, H.1
Senn, S.2
-
21
-
-
38849117691
-
Semi-parametric modelling of the distribution of the baseline risk in meta-analysis
-
Ghidey W, Lesaffre E, Stijnen T. Semi-parametric modelling of the distribution of the baseline risk in meta-analysis. Statistics in Medicine 2007; 26:5434-5444.
-
(2007)
Statistics in Medicine
, vol.26
, pp. 5434-5444
-
-
Ghidey, W.1
Lesaffre, E.2
Stijnen, T.3
-
22
-
-
84873432137
-
-
NICE DSU Technical Support Document 2: A generalised linear modelling framework for pairwise and network meta-analysis of randomised controlled trials, Available from [Accessed 8 November 2011].
-
Dias S, Welton NJ, Sutton AJ, Ades AE. NICE DSU Technical Support Document 2: A generalised linear modelling framework for pairwise and network meta-analysis of randomised controlled trials, 2011. Available from: http://www.nicedsu.org.uk [Accessed 8 November 2011].
-
(2011)
-
-
Dias, S.1
Welton, N.J.2
Sutton, A.J.3
Ades, A.E.4
-
23
-
-
5044221416
-
Combination of direct and indirect evidence in mixed treatment comparisons
-
Lu G, Ades AE. Combination of direct and indirect evidence in mixed treatment comparisons. Statistics in Medicine 2004; 23:3105-3124.
-
(2004)
Statistics in Medicine
, vol.23
, pp. 3105-3124
-
-
Lu, G.1
Ades, A.E.2
-
24
-
-
26944454062
-
Simultaneous comparison of multiple treatments: combining direct and indirect evidence
-
Caldwell DM, Ades AE, Higgins JP. Simultaneous comparison of multiple treatments: combining direct and indirect evidence. BMJ 2005; 331:897-900.
-
(2005)
BMJ
, vol.331
, pp. 897-900
-
-
Caldwell, D.M.1
Ades, A.E.2
Higgins, J.P.3
-
27
-
-
84873481573
-
-
WinBUGS User Manual Version 1.4 January 2003. Upgraded to Version 1.4.3
-
Spiegelhalter D, Thomas AB, Best N, Lunn D. WinBUGS User Manual Version 1.4 January 2003. Upgraded to Version 1.4.3, 2007.
-
(2007)
-
-
Spiegelhalter, D.1
Thomas, A.B.2
Best, N.3
Lunn, D.4
-
28
-
-
0006407254
-
WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility
-
Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 2000; 10:325-337.
-
(2000)
Statistics and Computing
, vol.10
, pp. 325-337
-
-
Lunn, D.J.1
Thomas, A.2
Best, N.3
Spiegelhalter, D.4
-
30
-
-
74349083543
-
Modeling between-trial variance structure in mixed treatment comparisons
-
Lu GB, Ades A. Modeling between-trial variance structure in mixed treatment comparisons. Biostatistics 2009; 10:792-805.
-
(2009)
Biostatistics
, vol.10
, pp. 792-805
-
-
Lu, G.B.1
Ades, A.2
-
31
-
-
0032583159
-
Meta-analysis of multiple outcomes by regression with random effects
-
Berkey CS, Hoaglin DC, Antczak-Bouckoms A, Mosteller F, Colditz GA. Meta-analysis of multiple outcomes by regression with random effects. Statistics in Medicine 1998; 17:2537-2550.
-
(1998)
Statistics in Medicine
, vol.17
, pp. 2537-2550
-
-
Berkey, C.S.1
Hoaglin, D.C.2
Antczak-Bouckoms, A.3
Mosteller, F.4
Colditz, G.A.5
-
33
-
-
34548178985
-
Meta-analysis of mixed treatment comparisons at multiple follow-up times
-
Lu G, Ades AE, Sutton AJ, Cooper NJ, BriggS AH, Caldwell DM. Meta-analysis of mixed treatment comparisons at multiple follow-up times. Statistics in Medicine 2007; 26:3681-3699.
-
(2007)
Statistics in Medicine
, vol.26
, pp. 3681-3699
-
-
Lu, G.1
Ades, A.E.2
Sutton, A.J.3
Cooper, N.J.4
BriggS, A.H.5
Caldwell, D.M.6
-
34
-
-
77953688080
-
Mixed treatment comparison analysis provides internally coherent treatment effect estimates based on overviews of reviews and can reveal inconsistency
-
Caldwell DM, Welton NJ, Ades AE. Mixed treatment comparison analysis provides internally coherent treatment effect estimates based on overviews of reviews and can reveal inconsistency. Journal of Clinical Epidemiology 2010; 63:875-882.
-
(2010)
Journal of Clinical Epidemiology
, vol.63
, pp. 875-882
-
-
Caldwell, D.M.1
Welton, N.J.2
Ades, A.E.3
-
35
-
-
84873425081
-
-
NICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials. 2011. Available from. [Accessed 8 November 2011].
-
Dias S, Welton NJ, Sutton AJ, Ades AE, 2011. NICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials. 2011. Available from:http://www.nicedsu.org.uk. [Accessed 8 November 2011].
-
(2011)
-
-
Dias, S.1
Welton, N.J.2
Sutton, A.J.3
Ades, A.E.4
-
37
-
-
84873456512
-
-
Bayesian methods for modelling non-random missing data mechanisms in longitudinal studies. PhD Thesis, Imperial College, UK
-
Mason AJ. Bayesian methods for modelling non-random missing data mechanisms in longitudinal studies. PhD Thesis, Imperial College, UK, 2009.
-
(2009)
-
-
Mason, A.J.1
|