The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Multivariate Random-effects Meta-analysis
Open accessAbstract
Multivariate meta-analysis combines estimates of several related parameters over several studies. These parameters can, for example, refer to multiple outcomes or comparisons between more than two groups. A new Stata command, mvmeta, performs maximum likelihood, restricted maximum likelihood, or method-of-moments estimation of random-effects multivariate meta-analysis models. A utility command, mvmeta_make, facilitates the preparation of summary datasets from more detailed data. The commands are illustrated with data from the Fibrinogen Studies Collaboration, a meta-analysis of observational studies; I estimate the shape of the association between a quantitative exposure and disease events by grouping the quantitative exposure into several categories.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Small sample inference for fixed effects from restricted maximum likelihood
Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552
A solution to the problem of separation in logistic regression
Heinze, G., & Schemper, M. (2002) · Statistics in Medicine · doi:10.1002/sim.1047 · Cited by 2,711
Improved tests for a random effects meta‐regression with a single covariate
Knapp, G., & Hartung, J. (2003) · Statistics in Medicine · doi:10.1002/sim.1482 · Cited by 2,075
Systematic Review: Why sources of heterogeneity in meta-analysis should be investigated
Thompson, S. G. (1994) · BMJ · doi:10.1136/bmj.309.6965.1351 · Cited by 1,017 · cited 1×
“In such work, it is important to allow for heterogeneity between studies, usually by fitting a random-effects model (Thompson 1994).”
Harbord, R. M., & Higgins, J. P. T. (2008) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0800800403 · Cited by 897
Research works printed but not linked: 19
- 10.1002/(SICI)1097-0258(19960315)15:5<537::AID-SIM176>3.0.CO;2-S · DOI
- 10.1002/(SICI)1097-0258(19981130)17:22<2537::AID-SIM953>3.0.CO;2-C · DOI
- 10.1016/0197-2456(86)90046-2 · DOI · Paper page
- 10.1097/01.hjr.0000114968.39211.01 · DOI
- Fibrinogen Studies Collaboration., 2005, Journal of the American Medical Association, 294, 1799
- 10.1093/biomet/80.1.27 · DOI · Paper page
- 10.1002/(SICI)1097-0258(19960330)15:6<619::AID-SIM188>3.0.CO;2-A · DOI
- 10.1177/0272989X9801800110 · DOI
- Jackson D., Statistics in Medicine.
- 10.2307/2347628 · DOI
- 10.1002/sim.1875 · DOI
- 10.1002/(SICI)1097-0258(19990215)18:3<321::AID-SIM28>3.0.CO;2-P · DOI · Paper page
- 10.1002/sim.2078 · DOI
- 10.1002/sim.2524 · DOI
- 10.1186/1471-2288-7-3 · DOI
- Sharp S., 1998, Stata Technical Bulletin, 42, 16
- 10.1002/sim.1761 · DOI · Paper page
- 10.1002/sim.1040 · DOI · Paper page
- 10.1002/sim.4780132307 · DOI
Cited by
Hutton, B., Salanti, G., Caldwell, D. M., Chaimani, A., Schmid, C. H., Cameron, C., Ioannidis, J. P. A., Straus, S., Thorlund, K., Jansen, J. P., et al. (2015) · Annals of Internal Medicine · doi:10.7326/m14-2385 · Cited by 8,269
Ekelund, U., Tarp, J., Steene-Johannessen, J., Hansen, B. H., Jefferis, B., Fagerland, M. W., Whincup, P., Diaz, K. M., Hooker, S. P., Chernofsky, A., et al. (2019) · BMJ · doi:10.1136/bmj.l4570 · Cited by 1,769
Salanti, G. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1037 · Cited by 1,729
Methods to estimate the between‐study variance and its uncertainty in meta‐analysis
Veroniki, A. A., Jackson, D., Viechtbauer, W., Bender, R., Bowden, J., Knapp, G., Kuss, O., Higgins, J. P., Langan, D., & Salanti, G. (2016) · Research Synthesis Methods · doi:10.1002/jrsm.1164 · Cited by 1,685
White, I. R., Barrett, J. K., Jackson, D., & Higgins, J. P. T. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1045 · Cited by 1,114
Self-citationVimaleswaran, K. S., Berry, D. J., Lu, C., Tikkanen, E., Pilz, S., Hiraki, L. T., Cooper, J. D., Dastani, Z., Li, R., Houston, D. K., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001383 · Cited by 1,046
Multivariate meta-analysis for non-linear and other multi-parameter associations
Gasparrini, A., Armstrong, B., & Kenward, M. G. (2012) · Statistics in Medicine · doi:10.1002/sim.5471 · Cited by 772
Dietary fibre intake and risk of cardiovascular disease: Systematic review and meta-analysis
Threapleton, D. E., Greenwood, D. C., Evans, C. E. L., Cleghorn, C. L., Nykjaer, C., Woodhead, C., Cade, J. E., Gale, C. P., & Burley, V. J. (2013) · BMJ · doi:10.1136/bmj.f6879 · Cited by 749
Burke, D. L., Ensor, J., & Riley, R. D. (2017) · Statistics in Medicine · doi:10.1002/sim.7141 · Cited by 538
Multivariate meta‐analysis: Potential and promise
Jackson, D., Riley, R., & White, I. R. (2011) · Statistics in Medicine · doi:10.1002/sim.4172 · Cited by 530
Self-citationMutz, J., Vipulananthan, V., Carter, B., Hurlemann, R., Fu, C. H. Y., & Young, A. H. (2019) · BMJ · doi:10.1136/bmj.l1079 · Cited by 427
Multivariate Random-effects Meta-regression: Updates to Mvmeta
White, I. R. (2011) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1101100206 · Cited by 400
Self-citationGalante, J., Friedrich, C., Dawson, A. F., Modrego-Alarcón, M., Gebbing, P., Delgado-Suárez, I., Gupta, R., Dean, L., Dalgleish, T., White, I. R., et al. (2021) · PLOS Medicine · doi:10.1371/journal.pmed.1003481 · Cited by 319
“Stata’s mvmeta package was employed [64,65].”
Self-citationFakhry, T. K., Mhaskar, R., Schwitalla, T., Muradova, E., Gonzalvo, J. P., & Murr, M. M. (2019) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2018.12.002 · Cited by 259
A practical introduction to multivariate meta-analysis
Mavridis, D., & Salanti, G. (2013) · Statistical Methods in Medical Research · doi:10.1177/0962280211432219 · Cited by 255
Veroniki, A. A., Jackson, D., Bender, R., Kuss, O., Langan, D., Higgins, J. P. T., Knapp, G., & Salanti, G. (2019) · Research Synthesis Methods · doi:10.1002/jrsm.1319 · Cited by 236
The Effects of Family Therapies for Adolescent Delinquency and Substance Abuse: A Meta‐analysis
Baldwin, S. A., Christian, S., Berkeljon, A., & Shadish, W. R. (2012) · Journal of Marital and Family Therapy · doi:10.1111/j.1752-0606.2011.00248.x · Cited by 244
Lee, S. W. H., Chan, C. K. Y., Chua, S. S., & Chaiyakunapruk, N. (2017) · Scientific Reports · doi:10.1038/s41598-017-12987-z · Cited by 200
Chaudhry, U. A. R., Wahlich, C., Fortescue, R., Cook, D. G., Knightly, R., & Harris, T. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-01020-8 · Cited by 193
Tarp, J., Støle, A. P., Blond, K., & Grøntved, A. (2019) · Diabetologia · doi:10.1007/s00125-019-4867-4 · Cited by 173
Chiu, H.-Y., Lee, H.-C., Chen, P.-Y., Lai, Y.-F., & Tu, Y.-K. (2018) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2018.07.003 · Cited by 165
Mayhew, A. J., de Souza, R. J., Meyre, D., Anand, S. S., & Mente, A. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114515004316 · Cited by 147
Miller, K. J., Gonçalves-Bradley, D. C., Areerob, P., Hennessy, D., Mesagno, C., & Grace, F. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2019.100999 · Cited by 152
Yamada, T., Shojima, N., Noma, H., Yamauchi, T., & Kadowaki, T. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13260 · Cited by 81
Zhou, Y., Tian, C., & Jia, C. (2012) · British Journal of Nutrition · doi:10.1017/s0007114512002036 · Cited by 78
Edwards‐Stewart, A., Smolenski, D. J., Bush, N. E., Cyr, B., Beech, E. H., Skopp, N. A., & Belsher, B. E. (2021) · Journal of Traumatic Stress · doi:10.1002/jts.22653 · Cited by 79
Conceptos básicos del metaanálisis en red
Catalá-López, F., Tobías, A., & Roqué, M. (2014) · Atención Primaria · doi:10.1016/j.aprim.2014.01.006 · Cited by 21
Miller, K. J., Areerob, P., Hennessy, D., Gonçalves-Bradley, D. C., Mesagno, C., & Grace, F. (2021) · F1000Research · doi:10.12688/f1000research.27123.2 · Cited by 20
Noori, A., Sadeghirad, B., Wang, L., Siemieniuk, R. A. C., Shokoohi, M., Kum, E., Jeddi, M., Montoya, L., Hong, P. J., Zhou, E., et al. (2022) · British Journal of Anaesthesia · doi:10.1016/j.bja.2022.05.031 · Cited by 19
Metadata
- Authors
- White, I. R.
- Venue
- The Stata Journal: Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2009-03
- Volume
- 9
- Issue
- 1
- Pages
- 40-56
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W1509852289
- Cited by
- 286
- References
- 5
- FWCI
- 11.94
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
