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Variability in the analysis of a single neuroimaging dataset by many teams 期刊论文
NATURE, 2020
作者:  Liu, Jifeng;  Soria, Roberto;  Zheng, Zheng;  Zhang, Haotong;  Lu, Youjun;  Wang, Song;  Yuan, Hailong
收藏  |  浏览/下载:40/0  |  提交时间:2020/07/03

Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 independent teams to analyse the same dataset, testing the same 9 ex-ante hypotheses(1). The flexibility of analytical approaches is exemplified by the fact that no two teams chose identical workflows to analyse the data. This flexibility resulted in sizeable variation in the results of hypothesis tests, even for teams whose statistical maps were highly correlated at intermediate stages of the analysis pipeline. Variation in reported results was related to several aspects of analysis methodology. Notably, a meta-analytical approach that aggregated information across teams yielded a significant consensus in activated regions. Furthermore, prediction markets of researchers in the field revealed an overestimation of the likelihood of significant findings, even by researchers with direct knowledge of the dataset(2-5). Our findings show that analytical flexibility can have substantial effects on scientific conclusions, and identify factors that may be related to variability in the analysis of functional magnetic resonance imaging. The results emphasize the importance of validating and sharing complex analysis workflows, and demonstrate the need for performing and reporting multiple analyses of the same data. Potential approaches that could be used to mitigate issues related to analytical variability are discussed.


The results obtained by seventy different teams analysing the same functional magnetic resonance imaging dataset show substantial variation, highlighting the influence of analytical choices and the importance of sharing workflows publicly and performing multiple analyses.


  
Exploring the life of fuel price responses in retail markets. The effect of cross-sectional aggregation 期刊论文
ENERGY POLICY, 2018, 119: 495-501
作者:  Balaguer, Jacint;  Ripolles, Jordi
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Fuel price responses  Cross-sectional aggregation  Dynamic persistence  Overestimation  
Assessing reference evapotranspiration estimation from reanalysis weather products. An application to the Iberian Peninsula 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (5)
作者:  Martins, Diogo S.;  Paredes, Paula;  Raziei, Tayeb;  Pires, Carlos;  Cadima, Jorge;  Pereira, Luis S.
收藏  |  浏览/下载:13/0  |  提交时间:2019/04/09
accuracy indicators  ERA-Interim reanalysis  FAO Penman-Monteith ETo  NCEP  NCAR blended reanalysis  overestimation of wind speed  weather variables assessment