THE HARDNESS OF CONDITIONAL INDEPENDENCE TESTING AND THE GENERALISED COVARIANCE MEASURE von Shah, Rajen D., Peters, Jonas

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Functional unknomics: Systematic screening of conserved genes of unknown function von Rocha, João J, Jayaram, Satish Arcot, Stevens, Tim J, Muschalik, Nadine, Shah, Rajen D, Emran, Sahar, Robles, Cristina, Freeman, Matthew, Munro, Sean

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Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders von Wang, Yuhao, Shah, Rajen D.

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Goodness-of-fit tests for high dimensional linear models von Shah, Rajen D., Bühlmann, Peter

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Variable selection with error control: another look at stability selection von Shah, Rajen D., Samworth, Richard J.

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Double-Estimation-Friendly Inference for High-Dimensional Misspecified Models von Shah, Rajen D., Bühlmann, Peter

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Goodness-of-fit testing in high dimensional generalized linear models von Janková, Jana, Shah, Rajen D., Bühlmann, Peter, Samworth, Richard J.

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Rank-transformed subsampling: inference for multiple data splitting and exchangeable p -values von Guo, F Richard, Shah, Rajen D

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Sandwich boosting for accurate estimation in partially linear models for grouped data von Young, Elliot H, Shah, Rajen D

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The projected covariance measure for assumption-lean variable significance testing von Lundborg, Anton Rask, Kim, Ilmun, Shah, Rajen D., Samworth, Richard J.

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Conditional independence testing in Hilbert spaces with applications to functional data analysis von Lundborg, Anton Rask, Shah, Rajen D., Peters, Jonas

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Modelling high‐dimensional categorical data using nonconvex fusion penalties von Stokell, Benjamin G., Shah, Rajen D., Tibshirani, Ryan J.

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High-dimensional regression with potential prior information on variable importance von Stokell, Benjamin G., Shah, Rajen D.

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Right singular vector projection graphs: fast high dimensional covariance matrix estimation under latent confounding von Shah, Rajen D., Frot, Benjamin, Thanei, Gian-Andrea, Meinshausen, Nicolai

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Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis von Dybkær, Karen, Bøgsted, Martin, Falgreen, Steffen, Bødker, Julie S, Kjeldsen, Malene K, Schmitz, Alexander, Bilgrau, Anders E, Xu-Monette, Zijun Y, Li, Ling, Bergkvist, Kim S, Laursen, Maria B, Rodrigo-Domingo, Maria, Marques, Sara C, Rasmussen, Sophie B, Nyegaard, Mette, Gaihede, Michael, Møller, Michael B, Samworth, Richard J, Shah, Rajen D, Johansen, Preben, El-Galaly, Tarec C, Young, Ken H, Johnsen, Hans E

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Cross-validation for change-point regression: Pitfalls and solutions von Pein, Florian, Shah, Rajen D.

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Extensive angiectatic sinonasal polyp masquerading as a paediatric malignancy von Parelkar, Kartik, Thorwade, Vandana, Shah, Keya, Walli, Ankur, Shah, Rajen

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Formulation, Device, and Clinical Factors Influencing the Targeted Delivery of COVID-19 Vaccines to the Lungs von Mossadeq, Sayeed, Shah, Rajen, Shah, Viraj, Bagul, Milind

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BETS: THE DANGERS OF SELECTION BIAS IN EARLY ANALYSES OF THE CORONAVIRUS DISEASE (COVID-19) PANDEMIC von Zhao, Qingyuan, Ju, Nianqiao, Bacallado, Sergio, Shah, Rajen D.

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Comment von Shah, Rajen D, Samworth, Richard J

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