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A Framework for Estimating the Probability Distribution of Event Runoff Coefficient in Ungauged Catchments

• Authors : Zheng, Yanchen; Coxon, Gemma; Woods, Ross

Subjects: /dk/atira/pure/core/keywords/water_and_environmental_engineering; name=Water and Environmental Engineering; catchment attributes

• Source: Zheng , Y , Coxon , G , Woods , R , Li , J & Feng , P 2023 , ' A Framework for Estimating the Probability Distribution of Event Runoff Coefficient in Ungauged Catchments

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Multilevel network meta-regression for time-to-event outcomes in educational symposium. Indirect treatment comparison methodology matters:unlocking the essentials for robust analysis

• Authors : Phillippo, David M

• Source: Phillippo , D M 2024 , ' Multilevel network meta-regression for time-to-event outcomes in educational symposium. Indirect treatment comparison methodology matters :

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An objective time-series-analysis method for rainfall-runoff event identification

• Authors : Giani, Giulia; Tarasova, Larisa; Woods, Ross A

Subjects: /dk/atira/pure/core/keywords/water_and_environmental_engineering; name=Water and Environmental Engineering; event identification

• Source: Giani , G , Tarasova , L , Woods , R A & Rico-Ramirez , M A 2022 , ' An objective time-series-analysis method for rainfall-runoff event identification ' , Water

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Unanchored Population-Adjusted Indirect Comparison Methods for Time-to-Event Outcomes Using Inverse Odds Weighting, Regression Adjustment, and Doubly Robust Methods With Either Individual Patient or Aggregate Data

• Authors : Park, Julie; Campbell, Harlan; Towle, Kevin

• Source: Park , J , Campbell , H , Towle , K , Yuan , Y , Jansen , J , Phillippo , D M & Cope , S 2024 , ' Unanchored Population-Adjusted Indirect Comparison Methods for Time-to-

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Multiple imputation strategies for missing event times in a multi-state model analysis

• Authors : Curnow, Elinor; Hughes, Rachael; Birnie, Kate

• Source: Curnow , E , Hughes , R , Birnie , K , Tilling , K M & Crowther , M J 2024 , ' Multiple imputation strategies for missing event times in a multi-state model analysis ' ,

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An intensified lacustrine methane cycle during the Toarcian OAE (Jenkyns Event) in the Ordos Basin, northern China.

• Authors : Huang, Yizhou; Jin, Xin; Pancost, Rich D

• Source: Huang , Y , Jin , X , Pancost , R D , Kemp , D B & Naafs , B D A 2024 , ' An intensified lacustrine methane cycle during the Toarcian OAE (Jenkyns Event) in the Ordos

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A re‐evaluation of the Plenus Cold Event, and the links between CO2, temperature, and seawater chemistry during OAE 2

• Authors : O'Connor, Lauren K; Jenkyns, Hugh C; Robinson, Stuart A

Subjects: Plenus Cold Event; OAE2; SSTs

• Source: O'Connor , L K , Jenkyns , H C , Robinson , S A , Remmelzwaal , S R C , Batenburg , S J , Parkinson , I J & Gale , A S 2020 , ' A re‐evaluation of the Plenus Cold

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A two-part mixed-effects model for analyzing clustered time-to-event data with clumping at zero

• Authors : Zhao, Jian; Zhao, Yun; Xiang, Liming

Subjects: clumping at zero; frailty model; mixed effects

• Source: Zhao , J , Zhao , Y , Xiang , L , Khanal , V , Binns , C W & Lee , A H 2020 , ' A two-part mixed-effects model for analyzing clustered time-to-event data with clumping

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Controls on the spatial and temporal patterns of rainfall‐runoff event characteristics ‐ a large sample of catchments across Great Britain

• Authors : Zheng, Yanchen; Coxon, Gemma; Woods, Ross

Subjects: /dk/atira/pure/core/keywords/water_and_environmental_engineering; name=Water and Environmental Engineering

• Source: Zheng , Y , Coxon , G , Woods , R , Li , J & Feng , P 2023 , ' Controls on the spatial and temporal patterns of rainfall‐runoff event characteristics ‐ a large

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Modelling and reasoning with uncertain event-observations for event inference

• Authors : Calderwood, Sarah; McAreavey, Kevin; Liu, Weiru ...

Subjects: /dk/atira/pure/core/keywords/jean_golding; Jean Golding; Dempster-Shafer theory

• Source: Calderwood , S , McAreavey , K , Liu , W & Hong , J 2017 , Modelling and reasoning with uncertain event-observations for event inference .

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