-
2
-
-
27944450011
-
The interpretation of random-effects meta-analysis in decision models
-
Ades AE, Lu G, Higgins JPT. The interpretation of random-effects meta-analysis in decision models. Med Decis Making. 2005;25:646-654.
-
(2005)
Med Decis Making
, vol.25
, pp. 646-654
-
-
Ades, A.E.1
Lu, G.2
Higgins, J.P.T.3
-
4
-
-
84956942689
-
Approximate confidence intervals for moment-based estimators of the between-study variance in random effects meta-analysis
-
Jackson D, Bowden J, Baker R. Approximate confidence intervals for moment-based estimators of the between-study variance in random effects meta-analysis. Res Synth Methods. 2015;6:372-382.
-
(2015)
Res Synth Methods
, vol.6
, pp. 372-382
-
-
Jackson, D.1
Bowden, J.2
Baker, R.3
-
5
-
-
71649090646
-
Hoes does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?
-
Jackson D, Bowden J, Baker R. Hoes does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts? J Stat Plann Inference. 2010;140:961-970.
-
(2010)
J Stat Plann Inference
, vol.140
, pp. 961-970
-
-
Jackson, D.1
Bowden, J.2
Baker, R.3
-
6
-
-
0033263106
-
An alternative method for meta-analysis
-
Hartung J. An alternative method for meta-analysis. Biometrical J. 1999;41:901-916.
-
(1999)
Biometrical J
, vol.41
, pp. 901-916
-
-
Hartung, J.1
-
7
-
-
0035973279
-
On tests of the overall treatment effect in meta-analysis with normally distributed responses
-
Hartung J, Knapp G. On tests of the overall treatment effect in meta-analysis with normally distributed responses. Stat Med. 2001;20:1771-1782.
-
(2001)
Stat Med
, vol.20
, pp. 1771-1782
-
-
Hartung, J.1
Knapp, G.2
-
8
-
-
0035977414
-
A refined method for the meta-analysis of controlled clinical trials with binary outcome
-
Hartung J, Knapp G. A refined method for the meta-analysis of controlled clinical trials with binary outcome. Stat Med. 2001;20:3875-3889.
-
(2001)
Stat Med
, vol.20
, pp. 3875-3889
-
-
Hartung, J.1
Knapp, G.2
-
9
-
-
0037110527
-
A simple confidence interval for meta-analysis
-
Sidik K, Jonkman JN. A simple confidence interval for meta-analysis. Stat Med. 2002;21:3153-3159.
-
(2002)
Stat Med
, vol.21
, pp. 3153-3159
-
-
Sidik, K.1
Jonkman, J.N.2
-
10
-
-
33646936223
-
Letters to the editor
-
Copas J. Letters to the editor. Stat Med. 2003;22:2667-2668.
-
(2003)
Stat Med
, vol.22
, pp. 2667-2668
-
-
Copas, J.1
-
12
-
-
84899478410
-
The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method
-
IntHout J, Ioannidis JPA, Borm GF. The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method. BMC Med Research Method. 2014;14:25.
-
(2014)
BMC Med Research Method
, vol.14
, pp. 25
-
-
IntHout, J.1
Ioannidis, J.P.A.2
Borm, G.F.3
-
13
-
-
84963850958
-
Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies
-
Röver C, Knapp G, Friede T. Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies. BMC Med Res Method. 2015;15:99.
-
(2015)
BMC Med Res Method
, vol.15
, pp. 99
-
-
Röver, C.1
Knapp, G.2
Friede, T.3
-
14
-
-
77958110812
-
Conducting meta-analyses in R with the metafor package
-
Viechtbauer W. Conducting meta-analyses in R with the metafor package. J Stat Software. 2010;36:1-48.
-
(2010)
J Stat Software
, vol.36
, pp. 1-48
-
-
Viechtbauer, W.1
-
15
-
-
65349169770
-
meta: An R package for meta-analysis
-
Schwarzer G. meta: An R package for meta-analysis. R News. 2007;7:40-45.
-
(2007)
R News
, vol.7
, pp. 40-45
-
-
Schwarzer, G.1
-
16
-
-
0042926567
-
Improved tests for a random effects meta-regression with a single covariate
-
Knapp G, Hartung J. Improved tests for a random effects meta-regression with a single covariate. Stat Med. 2003;22:2293-2710.
-
(2003)
Stat Med
, vol.22
, pp. 2293-2710
-
-
Knapp, G.1
Hartung, J.2
-
17
-
-
84892485024
-
A refined method for multivariate meta-analysis and meta-regression
-
Jackson D, Riley RD. A refined method for multivariate meta-analysis and meta-regression. Stat Med. 2014;33:541-554.
-
(2014)
Stat Med
, vol.33
, pp. 541-554
-
-
Jackson, D.1
Riley, R.D.2
-
18
-
-
61749099575
-
A re-evaluation of the ‘quantile approximation method’ for random effects meta-analysis
-
Jackson D, Bowden J. A re-evaluation of the ‘quantile approximation method’ for random effects meta-analysis. Stat Med. 2009;28:338-348.
-
(2009)
Stat Med
, vol.28
, pp. 338-348
-
-
Jackson, D.1
Bowden, J.2
-
19
-
-
81955161941
-
Confidence intervals for a random-effects meta-analysis based on Bartlett-type corrections
-
Noma H. Confidence intervals for a random-effects meta-analysis based on Bartlett-type corrections. Stat Med. 2011;30:3304-3312.
-
(2011)
Stat Med
, vol.30
, pp. 3304-3312
-
-
Noma, H.1
-
20
-
-
84892476509
-
Meta-analysis inside and outside particle physics: two traditions that should converge?
-
Baker R, Jackson D. Meta-analysis inside and outside particle physics: two traditions that should converge? Res Synth Methods. 2013;4:109-124.
-
(2013)
Res Synth Methods
, vol.4
, pp. 109-124
-
-
Baker, R.1
Jackson, D.2
-
21
-
-
84930391011
-
Meta-analysis inside and outside particle physics: convergence using the path of least resistance?
-
Jackson D, Baker R. Meta-analysis inside and outside particle physics: convergence using the path of least resistance? Res Synth Methods. 2013;4:125-126.
-
(2013)
Res Synth Methods
, vol.4
, pp. 125-126
-
-
Jackson, D.1
Baker, R.2
-
22
-
-
84959297600
-
Methods to estimate the between-study variance and its uncertainty in meta-analysis
-
Veroniki AA, Jackson D, Viechtbauer W, et al. Methods to estimate the between-study variance and its uncertainty in meta-analysis. Res Synth Methods. 2016;7:55-79.
-
(2016)
Res Synth Methods
, vol.7
, pp. 55-79
-
-
Veroniki, A.A.1
Jackson, D.2
Viechtbauer, W.3
-
23
-
-
0037098199
-
Quantifying heterogeneity in a meta-analysis
-
Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539-1558.
-
(2002)
Stat Med
, vol.21
, pp. 1539-1558
-
-
Higgins, J.P.T.1
Thompson, S.G.2
-
24
-
-
33646338881
-
Assessing the amount of heterogeneity in random-effects meta-analysis
-
Knapp G, Biggerstaff BJ, Harting J. Assessing the amount of heterogeneity in random-effects meta-analysis. Biometrical J. 2006;48:271-285.
-
(2006)
Biometrical J
, vol.48
, pp. 271-285
-
-
Knapp, G.1
Biggerstaff, B.J.2
Harting, J.3
-
25
-
-
33846253999
-
Confidence intervals for the amount of heterogeneity in meta-analysis
-
Viechtbauer W. Confidence intervals for the amount of heterogeneity in meta-analysis. Stat Med. 2007;26:37-52.
-
(2007)
Stat Med
, vol.26
, pp. 37-52
-
-
Viechtbauer, W.1
-
26
-
-
84959266078
-
Misunderstandings about Q and ‘Cochran's Q test' in meta-analysis
-
Hoaglin D. Misunderstandings about Q and ‘Cochran's Q test' in meta-analysis. Stat Med. 2016;35:485-495.
-
(2016)
Stat Med
, vol.35
, pp. 485-495
-
-
Hoaglin, D.1
-
27
-
-
84959387470
-
Hartung-Knapp method is not always conservative compared to fixed effect meta-analysis
-
Wiksten A, Rücker G, Schwarzer G. Hartung-Knapp method is not always conservative compared to fixed effect meta-analysis. Stat Med. 2016;35:2503-2515.
-
(2016)
Stat Med
, vol.35
, pp. 2503-2515
-
-
Wiksten, A.1
Rücker, G.2
Schwarzer, G.3
-
28
-
-
84864508284
-
Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
-
Turner RM, Davey J, Clarke MJ, Thompson SG, Higgins JP. Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews. Int J Epidemiol. 2012;41:818-827.
-
(2012)
Int J Epidemiol
, vol.41
, pp. 818-827
-
-
Turner, R.M.1
Davey, J.2
Clarke, M.J.3
Thompson, S.G.4
Higgins, J.P.5
-
30
-
-
0033198316
-
Random-effects meta-analyses are not always conservative
-
Poole C, Greenland S. Random-effects meta-analyses are not always conservative. Am J Epidemiol. 1999;150:1-12.
-
(1999)
Am J Epidemiol
, vol.150
, pp. 1-12
-
-
Poole, C.1
Greenland, S.2
-
31
-
-
0020178780
-
Concensus values and weighting factors
-
Paule RC, Mandel J. Concensus values and weighting factors. J Res Nat Bur Stand. 1982;87:377-385.
-
(1982)
J Res Nat Bur Stand
, vol.87
, pp. 377-385
-
-
Paule, R.C.1
Mandel, J.2
-
32
-
-
84860189994
-
Estimating common mean and heterogeneity variance in two study case meta-analysis
-
Rukhin AL. Estimating common mean and heterogeneity variance in two study case meta-analysis. Stat Probab Lett. 2012;82:1318-1325.
-
(2012)
Stat Probab Lett
, vol.82
, pp. 1318-1325
-
-
Rukhin, A.L.1
-
33
-
-
71649090479
-
The significance level of the standard test for a treatment effect in meta-analysis
-
Jackson D. The significance level of the standard test for a treatment effect in meta-analysis. Stat Biopharm Res. 2009;1:92-100.
-
(2009)
Stat Biopharm Res
, vol.1
, pp. 92-100
-
-
Jackson, D.1
-
34
-
-
0033557255
-
Tutorial in Biostatistics. Meta-analysis: formulating, evaluating, combining and reporting
-
Normand SL. Tutorial in Biostatistics. Meta-analysis: formulating, evaluating, combining and reporting. Stat Med. 1999;18:321-359.
-
(1999)
Stat Med
, vol.18
, pp. 321-359
-
-
Normand, S.L.1
-
35
-
-
82055175725
-
Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis
-
Davey J, Turner RM, Clarke MJ, Higgins JPT. Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis. BMC Med Res Method. 2011;11:160.
-
(2011)
BMC Med Res Method
, vol.11
, pp. 160
-
-
Davey, J.1
Turner, R.M.2
Clarke, M.J.3
Higgins, J.P.T.4
|