Errors in meta-analyses of selection

Journal of Evolutionary Biology

Volumn 29, Issue 10, 2016, Pages 1905-1906

  Kingsolver, J G ^a   Diamond, S E ^b   Siepielski, A M ^c   Carlson, S M ^d  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF ARKANSAS   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84991764900     PISSN: 1010061X     EISSN: 14209101     Source Type: Journal    
DOI: 10.1111/jeb.12941     Document Type: Note

References (21)

1. Gurevitch, J., Morrow, L.L., Wallace, A. & Walsh, J.S. 1992. A meta-analysis of competition in field experiments. Am. Nat. 140: 539–572.
2. Hadfield, J. 2010. MCMC methods for multi-response generalized linear mixed models: the MCMCglmm R package. J. Stat. Softw. 33: 1–22.
3. Hereford, J., Hansen, T.F. & Houle, D. 2004. Comparing strengths of directional selection: how strong is strong? Evolution 58: 2133–2143.
4. Kingsolver, J.G. & Diamond, S.E. 2011. Phenotypic selection in natural populations: what limits directional selection? Am. Nat. 177: 346–357.
5. Kingsolver, J.G., Hoekstra, H.E., Hoekstra, J.M., Berrigan, D., Vignieri, N., Hill, C.E. et al. 2001. The strength of phenotypic selection in natural populations. Am. Nat. 157: 245–261.
6. Kingsolver, J.G., Diamond, S.E., Siepielski, A.M. & Carlson, S.M. 2012. Synthetic analyses of phenotypic selection in natural populations: lessons, limitations and future directions. Evol. Ecol. 26: 1101–1118.
7. Koricheva, J., Gurevitch, J. & Mengersen, K. 2013. Handbook of Meta-Analysis in Ecology and Evolution. Princeton University Press, Oxford, UK.
8. Lajeunese, M. 2013. Recovering missing or partial data from studies: a survey of conversions and imputations for meta-analysis. In: Handbook of Meta-Analysis in Ecology and Evolution (J. Koricheva, J. Gurevitch, K. Mengersen, eds), pp. 195–206. Princeton University Press, Oxford, UK.
9. Ma, J., Liu, W., Hunter, A. & Zhang, W. 2008. Performing meta-analysis with incomplete statistical information in clinical trials. BMC Med. Res. Methodol. 8: 56–65.
10. Mills, J.A., Teplitsky, C., Arroyo, B., Charmantier, A., Becker, P.H., Birkhead, T.R. et al. 2015. Archiving primary data: solutions for long-term studies. Trends Ecol. Evol. 30: 581–589.
11. Morrissey, M.B. 2016. Meta-analysis of magnitudes, differences and variation in evolutionary parameters. J. Evol. Biol. 29: 1882–1904.
12. Morrissey, M.B. & Hadfield, J.D. 2012. Directional selection in temporally replicated studies is remarkably constant. Evolution 66: 435–442.
13. Murren, C.J., Diamond, S.E., Auld, J.R., Relyea, R.A., Steiner, U.K. & Kingsolver, J.G. 2016. Evolutionary divergence of reaction norms in ecological context: a commentary. J. Evol. Biol. doi:10.1111/jeb.12943.
14. Nakagawa, S. & Santos, E.S. 2012. Methological issues and advances in biological meta-analysis. Evol. Ecol. 26: 1253–1274.
15. Philbrook, H.T., Barrowman, N.J. & Garg, A.X. 2007. Imputing variance estimates does not alter the conclusions of a meta-analysis with continuous outcomes: a case study of changes in renal function after living kidney donation. J. Clin. Epidemiol. 60: 228–240.
16. Reichman, O.J., Jones, M.B. & Schildhauer, M.P. 2011. Challenges and opportunities of open data in ecology. Science 331: 703–705.
17. Rubin, D.B. & Schenker, N. 1991. Multiple imputation in health-care databases: an overview and some applictions. Stat. Med. 10: 585–598.
18. Siepielski, A.M., DiBattista, J.D. & Carlson, S.M. 2009. It's about time: the temporal dynamics of phenotypic selection in the wild. Ecol. Lett. 12: 1–16.
19. Siepielski, A.M., DiBattista, J.D., Evans, J.A. & Carlson, S.M. 2011. Differences in the temporal dynamics of phenotypic selection among fitness components in the wild. Proc. R. Soc. B 278: 1572–1580.
20. Vision, T.J. & Cranston, K. 2014. Open data for evolutionary synthesis: an introduction to the NESCent collection. Sci. Data 1: 140030.
21. Wiebe, N., Vandermeer, B., Platt, R.W., Klassen, T.P., Moher, D. & Barrowman, N.J. 2006. A systematic review identifies a lack of standardization in methods for handling missing variance data. J. Clin. Epidemiol. 59: 342–353.