2015
DOI: 10.1093/molbev/msv075
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A Protocol for Diagnosing the Effect of Calibration Priors on Posterior Time Estimates: A Case Study for the Cambrian Explosion of Animal Phyla

Abstract: We present a procedure to test the effect of calibration priors on estimated times, which applies a recently developed calibration-free approach (RelTime) method that produces relative divergence times for all nodes in the tree. We illustrate this protocol by applying it to a timetree of metazoan diversification (Erwin DH, Laflamme M, Tweedt SM, Sperling EA, Pisani D, Peterson KJ. 2011. The Cambrian conundrum: early divergence and later ecological success in the early history of animals. Science 334:1091-1097.… Show more

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Cited by 35 publications
(103 citation statements)
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“…1 b ). This unambiguously demonstrates that the discrepancy between the results of Battistuzzi et al (2015) and Erwin et al (2011) cannot have been caused by the calibrations used by Erwin et al (2011). Instead, the disparity in relative clade ages must be a consequence of the fundamentally different way in which RelTime and Phylobayes calculate rates of evolution.…”
Section: Resultsmentioning
confidence: 78%
See 1 more Smart Citation
“…1 b ). This unambiguously demonstrates that the discrepancy between the results of Battistuzzi et al (2015) and Erwin et al (2011) cannot have been caused by the calibrations used by Erwin et al (2011). Instead, the disparity in relative clade ages must be a consequence of the fundamentally different way in which RelTime and Phylobayes calculate rates of evolution.…”
Section: Resultsmentioning
confidence: 78%
“…*Note: Battistuzzi et al (2015) described their root calibration as a gamma density with mean = 1,000 Ma and SD = 1,000 Myr. This gamma density has shape parameter = 1, and it is thus an exponential distribution of mean = 1,000 Ma.…”
Section: Resultsmentioning
confidence: 99%
“…Another important improvement has come in best practices for choosing calibration points. Methods that test for consistency among calibration points allow one to identify outliers that can strongly bias divergence time estimates [68,69]. Simulation Runnegar [50] Wray et al [53] Gu [111] Ayala et al…”
Section: Towards Better Rate Estimatesmentioning
confidence: 99%
“…Not imposing hard maximum bounds on calibration points is particularly important [63,78], and instead using minimum and soft maximum constraints [79]. Also important is using cross-validation to identify calibration points that are inconsistent with the rest, and which can have a disproportionate impact if they are among the deeper calibration points [80].…”
Section: Towards Better Rate Estimatesmentioning
confidence: 99%
See 1 more Smart Citation