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1.	Botvinik-Nezer, Rotem, et al. (author) Variability in the analysis of a single neuroimaging dataset by many teams 2020 In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 582, s. 84-88 Journal article (peer-reviewed)abstract 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.
2.	Pusa, F., et al. (author) An automatic method to extract the grating coupling coefficient in DFB lasers : evaluation of different types of fabricated lasers 1997 In: Integrated Optics and Optical Fibre Communications, 11th International Conference on, and 23rd European Conference on Optical Communications (Conf. Publ. No. 448). - : IEE. ; , s. 200-203 Conference paper (peer-reviewed)abstract The grating coupling coefficients for a large number of 1.3 mu;m and 1.55 mu;m MQW DFB lasers with no, one, or two facets as-cleaved have been successfully extracted from spontaneous emission spectra
3.	Skagerlund, J., et al. (author) Evaluation of an automatic method to extract the grating coupling coefficient in different types of fabricated DFB lasers 1998 In: IEEE Journal of Quantum Electronics. - : Institute of Electrical and Electronics Engineers (IEEE). - 0018-9197 .- 1558-1713. ; 34, s. 141-146 Journal article (peer-reviewed)abstract Distributed feedback (DFB) laser parameters such as grating coupling coefficient, effective indices, facet reflectances, and the phases of facet reflectances have been determined using a method based on least-square fitting of theoretical spectra to measured, subthreshold DFB laser emission spectra. The only inputs needed are geometrical parameters such as length, grating period, and internal grating phase shifts. A larger number of devices have been successfully characterized, and consistent results have been obtained in both 1.3- mu;m multi-quantum-well (MQW) DFB lasers with both facets as-cleaved, and in 1.55- mu;m MQW DFB lasers with no, one, or two facets as-cleaved

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Type of publication: journal article (2); conference paper (1)

Type of content: peer-reviewed (3)

Author/Editor: Schatz, Richard, 196 ... (2); Wallin, J (2); Lundqvist, L. (2); Stoltz, B. (2); Nilsonne, Gustav (1); Botvinik-Nezer, Rote ... (1); show more...; Dreber Almenberg, An ... (1); Holzmeister, Felix (1); Huber, Juergen (1); Johannesson, Magnus (1); Kirchler, Michael (1); Poldrack, Russell A. (1); Schonberg, Tom (1); Tinghög, Gustav, 197 ... (1); Glerean, Enrico (1); Zhang, Lei (1); Heunis, Stephan (1); Cunningham, William ... (1); Lamm, Claus (1); Hamilton, Paul J., 1 ... (1); Durnez, Joke (1); Zhang, Xu (1); Camerer, Colin F. (1); Iwanir, Roni (1); Mumford, Jeanette A. (1); Adcock, R. Alison (1); Avesani, Paolo (1); Baczkowski, Blazej M ... (1); Bajracharya, Aahana (1); Bakst, Leah (1); Ball, Sheryl (1); Barilari, Marco (1); Bault, Nadege (1); Beaton, Derek (1); Beitner, Julia (1); Benoit, Roland G. (1); Berkers, Ruud M. W. ... (1); Bhanji, Jamil P. (1); Biswal, Bharat B. (1); Bobadilla-Suarez, Se ... (1); Bortolini, Tiago (1); Bottenhorn, Katherin ... (1); Bowring, Alexander (1); Braem, Senne (1); Brooks, Hayley R. (1); Brudner, Emily G. (1); Calderon, Cristian B ... (1); Camilleri, Julia A. (1); Castrellon, Jaime J. (1); Cecchetti, Luca (1); show less...

University: Royal Institute of Technology (2); Stockholm University (1); Linköping University (1); Stockholm School of Economics (1); Karolinska Institutet (1)

Language: English (3)

Research subject (UKÄ/SCB): Natural sciences (3); Engineering and Technology (2); Medical and Health Sciences (1); Social Sciences (1)

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