-
1
-
-
0022992740
-
Meta-analysis in clinical trials
-
DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177-188.
-
(1986)
Control Clin Trials
, vol.7
, Issue.3
, pp. 177-188
-
-
DerSimonian, R.1
Laird, N.2
-
2
-
-
14544296347
-
Nonparametric estimation of heterogeneity variance for the standardised difference used in meta-analysis
-
Malzahn U, Böhning D, Holling H. Nonparametric estimation of heterogeneity variance for the standardised difference used in meta-analysis. Biometrika. 2000;87(3):619-632. https://doi.org/10.1093/biomet/87.3.619
-
(2000)
Biometrika
, vol.87
, Issue.3
, pp. 619-632
-
-
Malzahn, U.1
Böhning, D.2
Holling, H.3
-
3
-
-
84890811125
-
Estimation of between-trial variance in sequential meta-analyses: a simulation study
-
Novianti PW, Roes KCB, van der Tweel I. Estimation of between-trial variance in sequential meta-analyses: a simulation study. Contemp Clin Trials. 2014;37(1):129-138. https://doi.org/10.1016/j.cct.2013.11.012
-
(2014)
Contemp Clin Trials
, vol.37
, Issue.1
, pp. 129-138
-
-
Novianti, P.W.1
Roes, K.C.B.2
van der Tweel, I.3
-
4
-
-
34047237099
-
A comparison of heterogeneity variance estimators in combining results of studies
-
Sidik K, Jonkman JN. A comparison of heterogeneity variance estimators in combining results of studies. Stat Med. 2007;26(9):1964-1981. https://doi.org/10.1002/sim.2688
-
(2007)
Stat Med
, vol.26
, Issue.9
, pp. 1964-1981
-
-
Sidik, K.1
Jonkman, J.N.2
-
5
-
-
84959297600
-
Methods to estimate heterogeneity variance and its uncertainty in meta-analysis
-
Veroniki AA, Jackson D, Viechtbauer W, et al. Methods to estimate heterogeneity variance and its uncertainty in meta-analysis. Res Syn Meth. 2015;7(1):55-79. https://doi.org/10.1002/jrsm.1164
-
(2015)
Res Syn Meth
, vol.7
, Issue.1
, pp. 55-79
-
-
Veroniki, A.A.1
Jackson, D.2
Viechtbauer, W.3
-
6
-
-
0020178780
-
Consensus values and weighting factors
-
Paule RC, Mandel J. Consensus values and weighting factors. J Res Natl Bur Stand. 1982;87(5):377-385.
-
(1982)
J Res Natl Bur Stand
, vol.87
, Issue.5
, pp. 377-385
-
-
Paule, R.C.1
Mandel, J.2
-
7
-
-
0242382677
-
Reducing the number of unjustified significant results in meta-analysis
-
Hartung J, Makambi KH. Reducing the number of unjustified significant results in meta-analysis. Commun Stat Simul Comput. 2003;32(4):1179-1190. https://doi.org/10.1081/SAC-120023884
-
(2003)
Commun Stat Simul Comput
, vol.32
, Issue.4
, pp. 1179-1190
-
-
Hartung, J.1
Makambi, K.H.2
-
8
-
-
14544281532
-
Simple heterogeneity variance estimation for meta-analysis
-
Sidik K, Jonkman JN. Simple heterogeneity variance estimation for meta-analysis. J R Stat Soc Ser B Appl Stat. 2005;54(2):367-384. https://doi.org/10.1111/j.1467-9876.2005.00489.x
-
(2005)
J R Stat Soc Ser B Appl Stat
, vol.54
, Issue.2
, pp. 367-384
-
-
Sidik, K.1
Jonkman, J.N.2
-
9
-
-
84890913931
-
Maximum likelihood approaches to variance component estimation and to related problems
-
Harville DA. Maximum likelihood approaches to variance component estimation and to related problems. J Am Stat Assoc. 1977;72(358):320-338. https://doi.org/10.2307/2286796
-
(1977)
J Am Stat Assoc
, vol.72
, Issue.358
, pp. 320-338
-
-
Harville, D.A.1
-
10
-
-
84938698393
-
An empirical comparison of heterogeneity variance estimators in 12,894 meta-analyses
-
Langan D, Higgins JPT, Simmonds M. An empirical comparison of heterogeneity variance estimators in 12,894 meta-analyses. Res Syn Meth. 2015;6(2):195-205. https://doi.org/10.1002/jrsm.1140
-
(2015)
Res Syn Meth
, vol.6
, Issue.2
, pp. 195-205
-
-
Langan, D.1
Higgins, J.P.T.2
Simmonds, M.3
-
11
-
-
84963649819
-
Comparative performance of heterogeneity variance estimators in meta-analysis: a review of simulation studies
-
Langan D, Higgins JPT, Simmonds M. Comparative performance of heterogeneity variance estimators in meta-analysis: a review of simulation studies. Res Syn Meth. 2016;8(2):181-198. https://doi.org/10.1002/jrsm.1198
-
(2016)
Res Syn Meth
, vol.8
, Issue.2
, pp. 181-198
-
-
Langan, D.1
Higgins, J.P.T.2
Simmonds, M.3
-
12
-
-
84907013218
-
On estimating residual heterogeneity in random-effects meta-regression: a comparative study
-
Panityakul T, Bumrungsup C, Knapp G. On estimating residual heterogeneity in random-effects meta-regression: a comparative study. J Stat Theory Appl. 2013;12(3):253-265.
-
(2013)
J Stat Theory Appl
, vol.12
, Issue.3
, pp. 253-265
-
-
Panityakul, T.1
Bumrungsup, C.2
Knapp, G.3
-
13
-
-
27544512687
-
Bias and efficiency of meta-analytic variance estimators in the random-effects model
-
Viechtbauer W. Bias and efficiency of meta-analytic variance estimators in the random-effects model. J Educ Behav Stat. 2005;30(3):261-293. https://doi.org/10.3102/10769986030003261
-
(2005)
J Educ Behav Stat
, vol.30
, Issue.3
, pp. 261-293
-
-
Viechtbauer, W.1
-
14
-
-
0347308489
-
Restricted maximum likelihood estimation of a common mean and the Mandel-Paule algorithm
-
Rukhin AL, Biggerstaff BJ, Vangel MG. Restricted maximum likelihood estimation of a common mean and the Mandel-Paule algorithm. J Stat Plan Inference. 2000;83(2):319-330. https://doi.org/10.1016/S0378-3758(99)00098-1
-
(2000)
J Stat Plan Inference
, vol.83
, Issue.2
, pp. 319-330
-
-
Rukhin, A.L.1
Biggerstaff, B.J.2
Vangel, M.G.3
-
15
-
-
84864386271
-
Meta-analysis of rare binary adverse event data
-
Bhaumik DK, Amatya A, Normand SLT, et al. Meta-analysis of rare binary adverse event data. J Am Stat Assoc. 2012;107(498):555-567.
-
(2012)
J Am Stat Assoc
, vol.107
, Issue.498
, pp. 555-567
-
-
Bhaumik, D.K.1
Amatya, A.2
Normand, S.L.T.3
-
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(17):2693-2710.
-
(2003)
Stat Med
, vol.22
, Issue.17
, pp. 2693-2710
-
-
Knapp, G.1
Hartung, J.2
-
17
-
-
43049146541
-
Confidence intervals for the overall effect size in random-effects meta-analysis
-
Sanchez-Meca J, Marín-Martínez F. Confidence intervals for the overall effect size in random-effects meta-analysis. Psychol Methods. 2008;13(1):31-48.
-
(2008)
Psychol Methods
, vol.13
, Issue.1
, pp. 31-48
-
-
Sanchez-Meca, J.1
Marín-Martínez, F.2
-
18
-
-
84880850709
-
A re-analysis of the Cochrane library data: the dangers of unobserved heterogeneity in meta-analyses
-
Kontopantelis E, Springate DA, Reeves D. A re-analysis of the Cochrane library data: the dangers of unobserved heterogeneity in meta-analyses. PLoS One. 2013;8(7):e69930.
-
(2013)
PLoS One
, vol.8
, Issue.7
-
-
Kontopantelis, E.1
Springate, D.A.2
Reeves, D.3
-
19
-
-
84884702463
-
Avoiding zero between-study variance estimates in random-effects meta-analysis
-
Chung Y, Rabe-Hesketh S, Choi IH. Avoiding zero between-study variance estimates in random-effects meta-analysis. Stat Med. 2013;32(23):4071-4089.
-
(2013)
Stat Med
, vol.32
, Issue.23
, pp. 4071-4089
-
-
Chung, Y.1
Rabe-Hesketh, S.2
Choi, I.H.3
-
21
-
-
0029874040
-
A likelihood approach to meta-analysis with random effects
-
Hardy RJ, Thompson SG. A likelihood approach to meta-analysis with random effects. Stat Med. 1996;15(6):619-629.
-
(1996)
Stat Med
, vol.15
, Issue.6
, pp. 619-629
-
-
Hardy, R.J.1
Thompson, S.G.2
-
22
-
-
84950432453
-
Parametric empirical Bayes inference: theory and applications
-
Morris CN. Parametric empirical Bayes inference: theory and applications. J Am Stat Assoc. 1983;78(381):47-55.
-
(1983)
J Am Stat Assoc
, vol.78
, Issue.381
, pp. 47-55
-
-
Morris, C.N.1
-
23
-
-
33845571913
-
Random-effects model for meta-analysis of clinical trials: an update
-
DerSimonian R, Kacker R. Random-effects model for meta-analysis of clinical trials: an update. Contemp Clin Trials. 2007;28(2):105-114. https://doi.org/10.1016/j.cct.2006.04.004
-
(2007)
Contemp Clin Trials
, vol.28
, Issue.2
, pp. 105-114
-
-
DerSimonian, R.1
Kacker, R.2
-
24
-
-
79953689306
-
Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics
-
Bowden J, Tierney JF, Copas AJ, Burdett S. Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics. BMC Med Res Methodol. 2011;11(1):41.
-
(2011)
BMC Med Res Methodol
, vol.11
, Issue.1
, pp. 41
-
-
Bowden, J.1
Tierney, J.F.2
Copas, A.J.3
Burdett, S.4
-
25
-
-
84907015020
-
Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models
-
Jackson D, Turner R, Rhodes K, Viechtbauer W. Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models. BMC Med Res Methodol. 2014;14(1):103.
-
(2014)
BMC Med Res Methodol
, vol.14
, Issue.1
, pp. 103
-
-
Jackson, D.1
Turner, R.2
Rhodes, K.3
Viechtbauer, W.4
-
26
-
-
84878221299
-
Estimating heterogeneity variance in meta-analysis
-
Rukhin AL. Estimating heterogeneity variance in meta-analysis. J R Stat Soc Series B Stat Methodology. 2013;75(3):451-469.
-
(2013)
J R Stat Soc Series B Stat Methodology
, vol.75
, Issue.3
, pp. 451-469
-
-
Rukhin, A.L.1
-
27
-
-
77958110812
-
Conducting meta-analyses in R with the metaphor package
-
Viechtbauer W. Conducting meta-analyses in R with the metaphor package. J Stat Softw. 2010;36(3):1-48.
-
(2010)
J Stat Softw
, vol.36
, Issue.3
, pp. 1-48
-
-
Viechtbauer, W.1
-
28
-
-
0032886748
-
Valid inference in random-effects meta-analysis
-
Follmann DA, Proschan MA. Valid inference in random-effects meta-analysis. Biometrics. 1999;55(3):732-737.
-
(1999)
Biometrics
, vol.55
, Issue.3
, pp. 732-737
-
-
Follmann, D.A.1
Proschan, M.A.2
-
29
-
-
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(24):3875-3889.
-
(2001)
Stat Med
, vol.20
, Issue.24
, pp. 3875-3889
-
-
Hartung, J.1
Knapp, G.2
-
30
-
-
0037110527
-
A simple confidence interval for meta-analysis
-
Sidik K, Jonkman JN. A simple confidence interval for meta-analysis. Stat Med. 2002;21(21):3153-3159. https://doi.org/10.1002/sim.1262
-
(2002)
Stat Med
, vol.21
, Issue.21
, pp. 3153-3159
-
-
Sidik, K.1
Jonkman, J.N.2
-
31
-
-
84959387470
-
Hartung-Knapp method is not always conservative compared with fixed-effect meta-analysis
-
Wiksten A, Rücker G, Schwarzer G. Hartung-Knapp method is not always conservative compared with fixed-effect meta-analysis. Stat Med. 2016;35(15):2503-2515. https://doi.org/10.1002/sim.6879
-
(2016)
Stat Med
, vol.35
, Issue.15
, pp. 2503-2515
-
-
Wiksten, A.1
Rücker, G.2
Schwarzer, G.3
-
32
-
-
0037098199
-
Quantifying heterogeneity in a meta-analysis
-
Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539-1558. https://doi.org/10.1002/sim.1186
-
(2002)
Stat Med
, vol.21
, Issue.11
, pp. 1539-1558
-
-
Higgins, J.P.T.1
Thompson, S.G.2
-
33
-
-
84889351499
-
-
Hoboken, NJ, USA, Wiley
-
Borenstein M, Hedges LV, Higgins JPT. Introduction to Meta-Analysis. Hoboken, NJ, USA: Wiley; 1999.
-
(1999)
Introduction to Meta-Analysis
-
-
Borenstein, M.1
Hedges, L.V.2
Higgins, J.P.T.3
-
34
-
-
0029612242
-
Bayesian approaches to random-effects meta-analysis: a comparative study
-
Smith TC, Spiegelhalter DJ, Thomas A. Bayesian approaches to random-effects meta-analysis: a comparative study. Stat Med. 1995;14(24):2685-2699.
-
(1995)
Stat Med
, vol.14
, Issue.24
, pp. 2685-2699
-
-
Smith, T.C.1
Spiegelhalter, D.J.2
Thomas, A.3
-
35
-
-
7944222428
-
Some general points in estimating heterogeneity variance with the DerSimonian-Laird estimator
-
Böhning D, Malzahn U, Dietz E, Schlattmann P, Viwatwongkasem C, Biggeri A. Some general points in estimating heterogeneity variance with the DerSimonian-Laird estimator. Biostatistics. 2002;3(4):445-457. https://doi.org/10.1093/biostatistics/3.4.445
-
(2002)
Biostatistics
, vol.3
, Issue.4
, pp. 445-457
-
-
Böhning, D.1
Malzahn, U.2
Dietz, E.3
Schlattmann, P.4
Viwatwongkasem, C.5
Biggeri, A.6
-
36
-
-
0036205370
-
Being sceptical about meta-analyses: a Bayesian perspective on magnesium trials in myocardial infarction
-
Higgins JPT, Spiegelhalter DJ. Being sceptical about meta-analyses: a Bayesian perspective on magnesium trials in myocardial infarction. Int J Epidemiol. 2002;31(1):96-104. https://doi.org/10.1093/ije/31.1.96
-
(2002)
Int J Epidemiol
, vol.31
, Issue.1
, pp. 96-104
-
-
Higgins, J.P.T.1
Spiegelhalter, D.J.2
-
37
-
-
77957672873
-
metaan: random-effects meta-analysis
-
Kontopantelis E, Reeves D. metaan: random-effects meta-analysis. Stata J. 2010;10(3):395.
-
(2010)
Stata J
, vol.10
, Issue.3
, pp. 395
-
-
Kontopantelis, E.1
Reeves, D.2
-
38
-
-
84863975528
-
Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: a simulation study
-
Kontopantelis E, Reeves D. Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: a simulation study. Stat Methods Med Res. 2012;21(4):409-426.
-
(2012)
Stat Methods Med Res
, vol.21
, Issue.4
, pp. 409-426
-
-
Kontopantelis, E.1
Reeves, D.2
-
39
-
-
84870020421
-
Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: a comparison between DerSimonian-Laird and restricted maximum likelihood
-
Kontopantelis E, Reeves D. Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: a comparison between DerSimonian-Laird and restricted maximum likelihood. Stat Methods Med Res. 2012;21(6):657-659.
-
(2012)
Stat Methods Med Res
, vol.21
, Issue.6
, pp. 657-659
-
-
Kontopantelis, E.1
Reeves, D.2
-
40
-
-
33846260745
-
Much ado about nothing: a comparison of the performance of meta-analytical methods with rare events
-
Bradburn MJ, Deeks JJ, Berlin JA, Russell Localio A. Much ado about nothing: a comparison of the performance of meta-analytical methods with rare events. Stat Med. 2007;26(1):53-77.
-
(2007)
Stat Med
, vol.26
, Issue.1
, pp. 53-77
-
-
Bradburn, M.J.1
Deeks, J.J.2
Berlin, J.A.3
Russell Localio, A.4
-
41
-
-
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 JP, 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 Res Methodol. 2014;14(1):25.
-
(2014)
BMC Med Res Methodol
, vol.14
, Issue.1
, pp. 25
-
-
IntHout, J.1
Ioannidis, J.P.2
Borm, G.F.3
-
42
-
-
78649676690
-
Confidence intervals for random effects meta-analysis and robustness to publication bias
-
Henmi M, Copas JB. Confidence intervals for random effects meta-analysis and robustness to publication bias. Stat Med. 2010;29(29):2969-2983. https://doi.org/10.1002/sim.4029
-
(2010)
Stat Med
, vol.29
, Issue.29
, pp. 2969-2983
-
-
Henmi, M.1
Copas, J.B.2
-
43
-
-
84988478557
-
Random-effects meta-analysis of inconsistent effects: a time for change
-
Cornell JE. Random-effects meta-analysis of inconsistent effects: a time for change. Ann Intern Med. 2014;160(4):267-270. https://doi.org/10.7326/M13-2886
-
(2014)
Ann Intern Med
, vol.160
, Issue.4
, pp. 267-270
-
-
Cornell, J.E.1
-
44
-
-
2342661718
-
What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data
-
Sweeting MJ, Sutton AJ, Lambert PC. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. Stat Med. 2004;23(9):1351-1375. https://doi.org/10.1002/sim.1761
-
(2004)
Stat Med
, vol.23
, Issue.9
, pp. 1351-1375
-
-
Sweeting, M.J.1
Sutton, A.J.2
Lambert, P.C.3
-
45
-
-
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. Stat Med. 2010;29(29):3046-3067.
-
(2010)
Stat Med
, vol.29
, Issue.29
, pp. 3046-3067
-
-
Stijnen, T.1
Hamza, T.H.2
Ozdemir, P.3
-
46
-
-
84995794417
-
A general framework for the use of logistic regression models in meta-analysis
-
Simmonds M, Higgins JPT. A general framework for the use of logistic regression models in meta-analysis. Stat Methods Med Res. 2016;25(6):2858-2877.
-
(2016)
Stat Methods Med Res
, vol.25
, Issue.6
, pp. 2858-2877
-
-
Simmonds, M.1
Higgins, J.P.T.2
-
47
-
-
85042931759
-
A comparison of 7 random-effects models for meta-analyses that estimate the summary odds ratio
-
(in press)
-
Jackson D, Law M, Stijnen T, Viechtbauer W, White IR. A comparison of 7 random-effects models for meta-analyses that estimate the summary odds ratio. Stat Med. 2018 (in press). doi: https://doi.org/10.1002/sim.7588;37(7):1059-1085.
-
(2018)
Stat Med
, vol.37
, Issue.7
, pp. 1059-1085
-
-
Jackson, D.1
Law, M.2
Stijnen, T.3
Viechtbauer, W.4
White, I.R.5
-
48
-
-
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 Methodol. 2015;15(1):99.
-
(2015)
BMC Med Res Methodol
, vol.15
, Issue.1
, pp. 99
-
-
Röver, C.1
Knapp, G.2
Friede, T.3
-
49
-
-
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 Methodol. 2011;11(1):160. https://doi.org/10.1186/1471-2288-11-160
-
(2011)
BMC Med Res Methodol
, vol.11
, Issue.1
, pp. 160
-
-
Davey, J.1
Turner, R.M.2
Clarke, M.J.3
Higgins, J.P.T.4
-
50
-
-
84955329833
-
A decade of individual participant data meta-analyses: a review of current practice
-
Simmonds M, Stewart G, Stewart L. A decade of individual participant data meta-analyses: a review of current practice. Contemp Clin Trials. 2015;45:76-83.
-
(2015)
Contemp Clin Trials
, vol.45
, pp. 76-83
-
-
Simmonds, M.1
Stewart, G.2
Stewart, L.3
|