Missing data imputation of climate time series: A review by Lizette Elena Alejo-Sanchez, Aldo Márquez-Grajales, Fernando Salas-Martínez, Anilu Franco-Arcega, Virgilio López-Morales, Otilio Arturo Acevedo-Sandoval, César Abelardo González-Ramírez, Ramiro Villegas-Vega

Subjects: “…Imputation techniques for handling missing data…”
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Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks by Yue Zhang, Huanmin Ge, Chencheng Huang, Xinhua Su

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Exploring a Diagnostic Test for Missingness at Random by Dominick Sutton, Anahid Basiri, Ziqi Li

Subjects: “…missing data…”
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A spatiotemporal recurrent neural network for missing data imputation in tunnel monitoring by Junchen Ye, Yuhao Mao, Ke Cheng, Xuyan Tan, Bowen Du, Weizhong Chen

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Imputation for Missing Data in Statistical Matching Using Goal Programming by Abeer M. M. Elrefaey, Ramadan Hamed, Elham A. Ismail, Safia M. Ezzat

Subjects: “…missing data…”
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A Novel Aggregated Multiple Imputation Approach for Enhanced Survival Prediction and Classification on Breast Cancer and Lung Cancer Data by P. Deepa, C. Gunavathi

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Data-Driven Multiple ARIMA Through Neural Fusion for Enhanced Wind Power Prediction With Missing Data by Xiaoou Li, Wen Yu

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Challenges in Results Robustness of Trials with Missing Data for the Primary Endpoint: Insights from Coronary Balloon/Stent Trials by Lang X, Zhao Y, Zhu Y, Song L, Wang C, Wang D, Danzeng C, Wang Y, Li W

Subjects: “…missing data…”
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Decision Tree for Determining Hospital Treatment for Covid-19 Patients Based on Hematology Parameters Using the C5.0 Algorithm by Joko Riyono, Christina Eni Pujiastuti, Supriyadi Supriyadi, Dody Prayitno, Aina Latifa Riyana Putri

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Cohort data with dropout: a simulation study comparing five longitudinal analysis methods by Rebecca K. Stellato, Rutger M. van den Bor, Maria Schipper, Maud Y. A. Lindeboom, Marinus J. C. Eijkemans

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An ensemble learning strategy for multi‐source hydrogen embrittlement data by introducing missing information by Xujie Gong, Ruichao Lei, Ruize Sun, Xue Jiang, Yanjing Su, Yu Yan

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Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS by Ranjit Lall, Thomas Robinson

Subjects: “…missing data…”
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Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil by Gustavo H. da Silva, Santos H. B. Dias, Lucas B. Ferreira, Jannaylton É. O. Santos, Fernando F. da Cunha

Subjects: “…missing data…”
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Impact of Missing Data on Data Quality in Social Research by Yaroslav Kostenko

Subjects: “…missing data…”
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Reporting and handling of missing data in published studies of co-morbid hypertension and diabetes among people living with HIV/AIDS: a systematic review by Peter Vanes Ebasone, Nasheeta Peer, Anastase Dzudie, Johney Melpsa, Merveille Foaleng, Andre Pascal Kengne

Subjects: “…Missing data…”
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Community detection on directed networks with missing edges by Nicola Pedreschi, Renaud Lambiotte, Alexandre Bovet

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Two-stage multiple imputation with a longitudinal composite variable by Xuzhi Wang, Martin G. Larson, Chunyu Liu

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Working with missing data in large-scale assessments by Francis Huang, Brian Keller

Subjects: “…Missing data…”
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Addressing challenges with Matching-Adjusted Indirect Comparisons to demonstrate the comparative effectiveness of entrectinib in metastatic ROS-1 positive Non-Small Cell Lung Cance... by Cyril Esnault, Louise Baschet, Vanessa Barbet, Gaëlle Chenuc, Maurice Pérol, Katia Thokagevistk, David Pau, Matthias Monnereau, Lise Bosquet, Thomas Filleron

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Multiple Imputation Approaches for Missing Time-to-Event Outcomes with Informative Censoring: Practical Considerations from a Simulation Study Based on Real Data by Andrea Bellavia, Min Guo, Sabina Murphy

Subjects: “…missing data…”
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