Modeling the spatial variation of the explanatory factors of human-caused wildfires in Spain using geographically weighted logistic regression von Rodrigues, M., de la Riva, J., Fotheringham, S.

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Geographically weighted Poisson regression for disease association mapping von Nakaya, T., Fotheringham, A. S., Brunsdon, C., Charlton, M.

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The Use of Geographically Weighted Regression for Spatial Prediction: An Evaluation of Models Using Simulated Data Sets von Harris, P., Fotheringham, A. S., Crespo, R., Charlton, M.

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HDAC inhibitor-based therapies and haematological malignancy von Stimson, L., Wood, V., Khan, O., Fotheringham, S., La Thangue, N.B.

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An evaluation of the clinical utility of a panel of variants in DPYD and ENOSF1 for predicting common capecitabine related toxicities von Palles, C., Fotheringham, S., Chegwidden, L., Lucas, M., Mozolowski, G., Tomlinson, I., Kerr, D.

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ToxNav germline genetic testing and PROMinet digital mobile application toxicity monitoring: results of a prospective single centre clinical utility study (PRECISE STUDY) von Lee, L., Starkey, T., Sivakumar, S., Fotheringham, S., Mozolowski, G., Shearwood, V., Palles, C., Camilleri, P., Kerr, R., Kerr, D.

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FOXO3a loss is a frequent early event in high-grade pelvic serous carcinogenesis von Levanon, K, Sapoznik, S, Bahar-Shany, K, Brand, H, Shapira-Frommer, R, Korach, J, Hirsch, M S, Roh, M H, Miron, A, Liu, J F, Vena, N, Ligon, A H, Fotheringham, S, Bailey, D, Flavin, R J, Birrer, M J, Drapkin, R I

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Trends in quantitative methods I: stressing the local von Fotheringham, A. Stewart

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Geographically weighted summary statistics — a framework for localised exploratory data analysis von Brunsdon, C., Fotheringham, A.S., Charlton, M.

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P-213An evaluation of the clinical utility of a panel of variants in DPYD and ENOSF1 for predicting common capecitabine related toxicities von Palles, C, Fotheringham, S, Chegwidden, L, Lucas, M, Mozolowski, G, Tomlinson, I, Kerr, D

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Genome-wide Loss-of-Function Screen Reveals an Important Role for the Proteasome in HDAC Inhibitor-Induced Apoptosis von Fotheringham, Susan, Epping, Mirjam T., Stimson, Lindsay, Khan, Omar, Wood, Victoria, Pezzella, Francesco, Bernards, René, La Thangue, Nicholas B.

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P-039ToxNav germline genetic testing and PROMinet digital mobile application toxicity monitoring: results of a prospective single centre clinical utility study (PRECISE STUDY) von Lee, L, Starkey, T, Sivakumar, S, Fotheringham, S, Mozolowski, G, Shearwood, V, Palles, C, Camilleri, P, Kerr, R, Kerr, D

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Isolation and characterization of an autonomously replicating sequence from Ustilago maydis von TSUKUDA, T, CARLETON, S, FOTHERINGHAM, S, HOLLOMAN, W. K

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Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity von Brunsdon, Chris, Fotheringham, A. Stewart, Charlton, Martin E.

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Modelling spatial choice: a review and synthesis in a migration context von Pellegrini, Pasquale A., Fotheringham, A. Stewart

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Intermetropolitan Migration and Hierarchical Destination Choice: A Disaggregate Analysis from the US Public Use Microdata Samples von Pellegrini, P A, Fotheringham, A S

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Coronary CT Angiography and 5-Year Risk of Myocardial Infarction von Newby, David E, Adamson, Philip D, Berry, Colin, Boon, Nicholas A, Dweck, Marc R, Flather, Marcus, Forbes, John, Hunter, Amanda, Lewis, Stephanie, MacLean, Scott, Mills, Nicholas L, Norrie, John, Roditi, Giles, Shah, Anoop S V, Timmis, Adam D, van Beek, Edwin J R, Williams, Michelle C

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O-016A prognostic marker for colorectal cancer: combining analyses of ploidy and stroma von Fotheringham, S, Danielsen, H, Hveem, T, Domingo, E, Pradhan, M, Syvertsen, R, Kostolomov, I, Nesheim, J, Johnstone, E, Novelli, M, Tomlinson, I, Kerr, R, Kerr, D

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O-016 A prognostic marker for colorectal cancer: combining analyses of ploidy and stroma von Fotheringham, S., Danielsen, H., Hveem, T., Domingo, E., Pradhan, M., Syvertsen, R., Kostolomov, I., Nesheim, J., Johnstone, E., Novelli, M., Tomlinson, I., Kerr, R., Kerr, D.

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Erratum to: The Use of Geographically Weighted Regression for Spatial Prediction: An Evaluation of Models Using Simulated Data Sets von Harris, P., Fotheringham, A. S., Crespo, R., Charlton, M.

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