Adam Claridge-Chang

Adam Claridge-Chang


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 June 2019 in Nature Methods
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Journal Article
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JHJoses Ho
Joses Ho
TTTayfun Tumkaya
Tayfun Tumkaya
SASameer Aryal
Sameer Aryal
HCHyungwon Choi
Hyungwon Choi
ACAdam Claridge-Chang
Adam Claridge-Chang

1 October 2009 in Cell
Verified
Journal Article
Closed access
ACAdam Claridge-Chang
Adam Claridge-Chang
RRRobert D. Roorda
Robert D. Roorda
EVEleftheria Vrontou
Eleftheria Vrontou
LSLucas Sjulson
Lucas Sjulson
HLHaiyan Li
Haiyan Li
GMGero Miesenböck
Gero Miesenböck

1 November 2001 in Neuron
Verified
Journal Article
Closed access
ACAdam Claridge-Chang
Adam Claridge-Chang
HWHerman Wijnen
Herman Wijnen
FNFelix Naef
Felix Naef
CBCatharine Boothroyd
Catharine Boothroyd
NRNikolaus Rajewsky
Nikolaus Rajewsky
MYMichael W. Young
Michael W. Young

1 February 2007 in Cell
Verified
Journal Article
Closed access
YSYuhua Shang
Yuhua Shang
ACAdam Claridge-Chang
Adam Claridge-Chang
LSLucas Sjulson
Lucas Sjulson
MPMarc Pypaert
Marc Pypaert
GMGero Miesenböck
Gero Miesenböck

23 January 2017 in Nature Methods
Verified
Journal Article
Closed access
Mohammad FarhanMohammad Farhan
Mohammad Farhan
JSJames C Stewart
James C Stewart
SOStanislav Ott
Stanislav Ott
KCKatarina Chlebikova
Katarina Chlebikova
JCJia Yi Chua
Jia Yi Chua
ACAdam Claridge-Chang
Adam Claridge-Chang

28 January 2016 in Nature Methods
Verified
Journal Article
Open access
ACAdam Claridge-Chang
Adam Claridge-Chang
PAPryseley N Assam
Pryseley N Assam
In place of significance testing, a preferred statistical methodology is accessible with modest re-training. However, an obstacle to the adoption of this alternative is a basic branding problem: it does not have a widely-used name. We suggest the most appropriate name for this superior approach is ‘estimation statistics,’ a term describing the methods that focus on the estimation of effect sizes (point estimates) and their confidence intervals (precision estimates). Estimation statistics offers several key benefits. This letter was previously published In Nature Methods at http://dx.doi.org/10.1038/nmeth.372