A Bayesian multilevel model for populations of networks using exponential-family random graphs von Lehmann, Brieuc, White, Simon

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Optimal strategies for learning multi-ancestry polygenic scores vary across traits von Lehmann, Brieuc, Mackintosh, Maxine, McVean, Gil, Holmes, Chris

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Interoperability of statistical models in pandemic preparedness: principles and reality von Nicholson, George, Blangiardo, Marta, Briers, Mark, Diggle, Peter J, Fjelde, Tor Erlend, Ge, Hong, Goudie, Robert J B, Jersakova, Radka, King, Ruairidh E, Lehmann, Brieuc C L, Mallon, Ann-Marie, Padellini, Tullia, Teh, Yee Whye, Holmes, Chris, Richardson, Sylvia

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Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: A population-based ecological study von Padellini, Tullia, Jersakova, Radka, Diggle, Peter J., Holmes, Chris, King, Ruairidh E., Lehmann, Brieuc C.L., Mallon, Ann-Marie, Nicholson, George, Richardson, Sylvia, Blangiardo, Marta

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Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework von Nicholson, George, Lehmann, Brieuc, Padellini, Tullia, Pouwels, Koen B., Jersakova, Radka, Lomax, James, King, Ruairidh E., Mallon, Ann-Marie, Diggle, Peter J., Richardson, Sylvia, Blangiardo, Marta, Holmes, Chris

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Bayesian imputation of COVID‐19 positive test counts for nowcasting under reporting lag von Jersakova, Radka, Lomax, James, Hetherington, James, Lehmann, Brieuc, Nicholson, George, Briers, Mark, Holmes, Chris

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Learning from data with structured missingness von Mitra, Robin, McGough, Sarah F., Chakraborti, Tapabrata, Holmes, Chris, Copping, Ryan, Hagenbuch, Niels, Biedermann, Stefanie, Noonan, Jack, Lehmann, Brieuc, Shenvi, Aditi, Doan, Xuan Vinh, Leslie, David, Bianconi, Ginestra, Sanchez-Garcia, Ruben, Davies, Alisha, Mackintosh, Maxine, Andrinopoulou, Eleni-Rosalina, Basiri, Anahid, Harbron, Chris, MacArthur, Ben D.

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A Bayesian multilevel model for populations of networks using exponential-family random graphs von Lehmann, Brieuc, White, Simon

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A Bayesian multilevel model for populations of networks using exponential-family random graphs von Lehmann, Brieuc, White, Simon

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Inferring differences between networks using Bayesian exponential random graph models von Lehmann, Brieuc Charles Louis

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A Predictive Approach to Bayesian Nonparametric Survival Analysis von Fong, Edwin, Lehmann, Brieuc

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COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence survei... von Bajaj, Sumali, Chen, Siyu, Creswell, Richard, Naidoo, Reshania, Tsui, Joseph L-H, Kolade, Olumide, Nicholson, George, Lehmann, Brieuc, Hay, James A, Kraemer, Moritz U G, Aguas, Ricardo, Donnelly, Christl A, Fowler, Tom, Hopkins, Susan, Cantrell, Liberty, Dahal, Prabin, White, Lisa J, Stepniewska, Kasia, Voysey, Merryn, Lambert, Ben, Aguas, Ricardo, Amswych, Ma'ayan, Andersen-Waine, Billie, Bajaj, Sumali, Bimpong, Kweku, Bodley, Adam, Cantrell, Liberty, Chen, Siyu, Creswell, Richard, Dahal, Prabin, Dickinson, Sophie, Dittrich, Sabine, Evans, Tracy, Ferguson-Lewis, Angus, Franco, Caroline, Gao, Bo, Hounsell, Rachel, Kasim, Muhammad, Keene, Claire, Lambert, Ben, Mahmood, Umar, Mills, Melinda, Moldokmatova, Ainura, Molyneux, Sassy, Naidoo, Reshania, Ngwafor Anye, Randolph, Norman, Jared, Pan-Ngum, Wirichada, Pokharel, Sunil, Polner, Anastasiia, Rowe, Emily, Saralamba, Sompob, Shretta, Rima, Silal, Sheetal, Stepniewska, Kasia, L-H Tsui, Joseph, Voysey, Merryn, Wanat, Marta, White, Lisa J

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A Predictive Approach to Bayesian Nonparametric Survival Analysis von Fong, Edwin, Lehmann, Brieuc

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Bayesian exponential random graph models for populations of networks von Lehmann, Brieuc, White, Simon

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Data Fusion for Heterogeneous Treatment Effect Estimation with Multi-Task Gaussian Processes von Dimitriou, Evangelos, Fong, Edwin, Diaz-Ordaz, Karla, Lehmann, Brieuc

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Optimal strategies for learning multi-ancestry polygenic scores vary across traits von Lehmann, Brieuc, Mackintosh, Maxine, McVean, Gil, Holmes, Chris

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Data for the manuscript 'Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework' von Nicholson, George, Lehmann, Brieuc

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A Predictive Approach to Bayesian Nonparametric Survival Analysis von Fong, Edwin, Lehmann, Brieuc

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Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates von Ghalebikesabi, Sahra, Holmes, Chris, Fong, Edwin, Lehmann, Brieuc

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Neural Score Matching for High-Dimensional Causal Inference von Clivio, Oscar, Falck, Fabian, Lehmann, Brieuc, Deligiannidis, George, Holmes, Chris

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