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230 results on '"Robinson, Timothy P."'

4. Genomic epidemiology of Escherichia coli: antimicrobial resistance through a One Health lens in sympatric humans, livestock and peri-domestic wildlife in Nairobi, Kenya

Author

Muloi, Dishon M., Hassell, James M., Wee, Bryan A., Ward, Melissa J., Bettridge, Judy M., Kivali, Velma, Kiyong’a, Alice, Ndinda, Christine, Gitahi, Nduhiu, Ouko, Tom, Imboma, Titus, Akoko, James, Murungi, Maurice K., Njoroge, Samuel M., Muinde, Patrick, Alumasa, Lorren, Kaitho, Titus, Amanya, Fredrick, Ogendo, Allan, van Bunnik, Bram A. D., Kiiru, John, Robinson, Timothy P., Kang’ethe, Erastus K., Kariuki, Samuel, Pedersen, Amy B., Fèvre, Eric M., and Woolhouse, Mark E. J.

Published
2022
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5. Population genomics of Escherichia coli in livestock-keeping households across a rapidly developing urban landscape

Author

Muloi, Dishon M., Wee, Bryan A., McClean, Deirdre M. H., Ward, Melissa J., Pankhurst, Louise, Phan, Hang, Ivens, Alasdair C., Kivali, Velma, Kiyong’a, Alice, Ndinda, Christine, Gitahi, Nduhiu, Ouko, Tom, Hassell, James M., Imboma, Titus, Akoko, James, Murungi, Maurice K., Njoroge, Samuel M., Muinde, Patrick, Nakamura, Yukiko, Alumasa, Lorren, Furmaga, Erin, Kaitho, Titus, Öhgren, Elin M., Amanya, Fredrick, Ogendo, Allan, Wilson, Daniel J., Bettridge, Judy M., Kiiru, John, Kyobutungi, Catherine, Tacoli, Cecila, Kang’ethe, Erastus K., Davila, Julio D., Kariuki, Samuel, Robinson, Timothy P., Rushton, Jonathan, Woolhouse, Mark E. J., and Fèvre, Eric M.

Published
2022
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6. Student Clustering Based on Learning Behavior Data in the Intelligent Tutoring System

Author

Šaric-Grgic, Ines, Grubišic, Ani, Šeric, Ljiljana, and Robinson, Timothy J.

Abstract

The idea of clustering students according to their online learning behavior has the potential of providing more adaptive scaffolding by the intelligent tutoring system itself or by a human teacher. With the aim of identifying student groups who would benefit from the same intervention in AC-ware Tutor, this research examined online learning behavior using 8 tracking variables: the total number of content pages seen in the learning process; the total number of concepts; the total online score; the total time spent online; the total number of logins; the stereotype after the initial test, the final stereotype, and the mean stereotype variability. The previous measures were used in a four-step analysis that consisted of data preprocessing, dimensionality reduction, the clustering, and the analysis of a posttest performance on a content proficiency exam. The results were also used to construct the decision tree in order to get a human-readable description of student clusters.

Published
2020
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9. How Many Lymph Nodes Are Enough? Assessing the Adequacy of Lymph Node Yield for Papillary Thyroid Cancer

Author

Robinson, Timothy J, Thomas, Samantha, Dinan, Michaela A, Roman, Sanziana, Sosa, Julie Ann, and Hyslop, Terry

Subjects
Cancer, Patient Safety, Adult, Carcinoma, Carcinoma, Papillary, Cohort Studies, Databases, Factual, Female, Humans, Lymph Nodes, Lymphatic Metastasis, Male, Middle Aged, Neoplasm Staging, Thyroid Cancer, Papillary, Thyroid Neoplasms, Thyroidectomy, United States, Clinical Sciences, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

PurposePatients who undergo surgery for papillary thyroid cancer with only a limited lymph node examination are thought to be at risk for potentially harboring occult disease. However, this risk has not been objectively quantified and may have implications for subsequent management and surveillance.MethodsData from the National Cancer Database (1998 to 2012) were used to characterize the distribution of nodal positivity of adult patients diagnosed with localized ≥ 1-cm papillary thyroid cancer who underwent thyroidectomy with one or more lymph nodes (LNs) examined. A β-binomial distribution was used to estimate the probability of occult nodal disease as a function of total number of LNs examined and pathologic tumor stage.ResultsA total of 78,724 patients met study criteria; 38,653 patients had node-positive disease. The probability of falsely identifying a patient as node negative was estimated to be 53% for patients with a single node examined and decreased to less than 10% when more than six LNs were examined. To rule out occult nodal disease with 90% confidence, six, nine, and 18 nodes would need to be examined for patients with T1b, T2, and T3 disease, respectively. Sensitivity analyses limited to patients likely undergoing prophylactic central neck dissection resulted in three, four, and eight nodes needed to provide comparable adequacy of LN evaluation.ConclusionTo our knowledge, our study provides the first empirically based estimates of occult nodal disease risk in patients after surgery for papillary thyroid cancer as a function of primary tumor stage and number of LNs examined. Our estimates provide an objective guideline for evaluating adequacy of LN yield for surgeons and pathologists in the treatment of papillary thyroid cancer, and especially intermediate-risk disease, for which use of adjuvant radioactive iodine and surveillance intensity are not currently standardized.

Published
2016

15. Nitrogen emissions along global livestock supply chains

Author

Uwizeye, Aimable, de Boer, Imke J. M., Opio, Carolyn I., Schulte, Rogier P. O., Falcucci, Alessandra, Tempio, Giuseppe, Teillard, Félix, Casu, Flavia, Rulli, Monica, Galloway, James N., Leip, Adrian, Erisman, Jan Willem, Robinson, Timothy P., Steinfeld, Henning, and Gerber, Pierre J.

Published
2020
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19. Reducing antimicrobial use in food animals

Author

Van Boeckel, Thomas P., Glennon, Emma E., Chen, Dora, Gilbert, Marius, Robinson, Timothy P., Grenfell, Bryan T, Levin, Simon A., Bonhoeffer, Sebastian, and Laxminarayan, Ramanan

Published
2017

20. Clinical outcomes of breast leptomeningeal disease treated with intrathecal trastuzumab, intrathecal chemotherapy, or whole brain radiation therapy

Author

Figura, Nicholas B., Rizk, Victoria T., Mohammadi, Homan, Evernden, Brittany, Mokhtari, Sepideh, Yu, H. Michael, Robinson, Timothy J., Etame, Arnold B., Tran, Nam D., Liu, James, Washington, Iman, Diaz, Roberto, Czerniecki, Brian J., Soliman, Hatem, Han, Hyo S., Sahebjam, Solmaz, Forsyth, Peter A., and Ahmed, Kamran A.

Published
2019
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22. Role for migratory wild birds in the global spread of avian influenza H5N8

Author

Lycett, Samantha J., Bodewes, Rogier, Pohlmann, Anne, Banks, Jill, Bányai, Krisztián, Boni, Maciej F., Bouwstra, Ruth, Breed, Andrew C., Brown, Ian H., Chen, Hualan, Dán, Ádám, DeLiberto, Thomas J., Diep, Nguyen, Gilbert, Marius, Hill, Sarah, Ip, Hon S., Ke, Chang Wen, Kida, Hiroshi, Killian, Mary Lea, Koopmans, Marion P., Kwon, Jung-Hoon, Lee, Dong-Hun, Lee, Youn Jeong, Lu Lu, Monne, Isabella, Pasick, John, Pybus, Oliver G., Rambaut, Andrew, Robinson, Timothy P., Sakoda, Yoshihiro, Zohari, Siamak, Song, Chang-Seon, Swayne, David E., Torchetti, Mia Kim, Tsai, Hsiang-Jung, Fouchier, Ron A. M., Beer, Martin, Woolhouse, Mark, and Kuiken, Thijs

Published
2016

23. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis

Author

Papadimitriou, Nikos, Dimou, Niki, Tsilidis, Konstantinos K., Banbury, Barbara, Martin, Richard M., Lewis, Sarah J., Kazmi, Nabila, Robinson, Timothy M., Albanes, Demetrius, Aleksandrova, Krasimira, Berndt, Sonja I., Timothy Bishop, D., Brenner, Hermann, Buchanan, Daniel D., Bueno-de-Mesquita, Bas, Campbell, Peter T., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Ellingjord-Dale, Merete, Figueiredo, Jane C., Gallinger, Steven J., Giles, Graham G., Giovannucci, Edward, Gruber, Stephen B., Gsur, Andrea, Hampe, Jochen, Hampel, Heather, Harlid, Sophia, Harrison, Tabitha A., Hoffmeister, Michael, Hopper, John L., Hsu, Li, María Huerta, José, Huyghe, Jeroen R., Jenkins, Mark A., Keku, Temitope O., Kühn, Tilman, La Vecchia, Carlo, Le Marchand, Loic, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane M., Lynch, Brigid, Markowitz, Sanford D., Masala, Giovanna, May, Anne M., Milne, Roger, Monninkhof, Evelyn, Moreno, Lorena, Moreno, Victor, Newcomb, Polly A., Offit, Kenneth, Perduca, Vittorio, Pharoah, Paul D. P., Platz, Elizabeth A., Potter, John D., Rennert, Gad, Riboli, Elio, Sánchez, Maria-Jose, Schmit, Stephanie L., Schoen, Robert E., Severi, Gianluca, Sieri, Sabina, Slattery, Martha L., Song, Mingyang, Tangen, Catherine M., Thibodeau, Stephen N., Travis, Ruth C., Trichopoulou, Antonia, Ulrich, Cornelia M., van Duijnhoven, Franzel J. B., Van Guelpen, Bethany, Vodicka, Pavel, White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Peters, Ulrike, Gunter, Marc J., and Murphy, Neil

Published
2020
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25. Understanding Nutrient Loading to the Coastal Zone from Urban Watersheds

Author

Robinson, Timothy H.

Abstract

Nutrient loading from urban development and intensive agriculture can have a significant adverse impact on coastal environments. The focus of this research proposal is to (1) measure and characterize nutrient loading by landuse on a watershed scale to the near-shore coastal environment using representative watersheds in southern California; and (2) develop a model to predict future nutrient export from these watersheds resulting from projected changes in landuse. The model will be based on an integrated modular framework and should prove a useful tool in watershed planning and management. The selected study watersheds drained by Carpinteria and Franklin creeks are distinctive but regionally characteristic catchments. Santa Monica Creek, draining an adjacent catchment, will be used to test the portability of the model. Both Franklin and Santa Monica Creeks carry a high nutrient load from urbanization and intensive agriculture to one of southern California's few remaining wetlands, the Carpinteria Salt Marsh (Ferren et al, 2000).With an intensive sampling program throughout the wet and dry seasons, I will characterize nutrient loading by landuse type. Existing information on landuse, soils, geology, vegetation and basin hydrology will be gathered and structured in a geographical information system (GIS) database. This will guide the sampling strategy and provide basic data for determining export coefficients for various landuses. A nutrient export coefficient model (NEC-M) will be constructed and integrated with an existing urban growth model for the Santa Barbara area of California (SLEUTH/UCIME). The combined model will be used to predict nutrient export for various growth scenarios, which can be used to evaluate zoning and "best management practice" pollution control alternatives. In addition, the project results will provide important watershed discharge data for the Santa Barbara Coastal Long Term Ecological Research (SBC-LTER) project in a collaborative effort to understand the dynamics of near-shore oceanic water quality.

Published
2005

28. Additional file 1 of Genomic epidemiology of Escherichia coli: antimicrobial resistance through a One Health lens in sympatric humans, livestock and peri-domestic wildlife in Nairobi, Kenya

Author

Muloi, Dishon M., Hassell, James M., Wee, Bryan A., Ward, Melissa J., Bettridge, Judy M., Kivali, Velma, Kiyong’a, Alice, Ndinda, Christine, Gitahi, Nduhiu, Ouko, Tom, Imboma, Titus, Akoko, James, Murungi, Maurice K., Njoroge, Samuel M., Muinde, Patrick, Alumasa, Lorren, Kaitho, Titus, Amanya, Fredrick, Ogendo, Allan, van Bunnik, Bram A. D., Kiiru, John, Robinson, Timothy P., Kang’ethe, Erastus K., Kariuki, Samuel, Pedersen, Amy B., Fèvre, Eric M., and Woolhouse, Mark E. J.

Abstract

Additional file 1.

Published
2023
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34. What Is the Probability You Are a Bayesian?

Author

Wulff, Shaun S. and Robinson, Timothy J.

Abstract

Bayesian methodology continues to be widely used in statistical applications. As a result, it is increasingly important to introduce students to Bayesian thinking at early stages in their mathematics and statistics education. While many students in upper level probability courses can recite the differences in the Frequentist and Bayesian inferential paradigms, these students often struggle using Bayesian methods when conducting data analysis. Specifically, students tend to struggle translating subjective belief to the specification of a prior distribution and the incorporation of uncertainty in the Bayesian inferential approach. The purpose of this paper is to present a hands-on activity involving the Beta-Binomial model to facilitate an intuitive understanding of the Bayesian approach through subjective problem formulation which lies at the heart of Bayesian statistics.

Published
2014

35. Connexin Hemichannels: Methods for Dye Uptake and Leakage

Author

Johnson, Ross G., Le, Hung C., Evenson, Kristen, Loberg, Shelby W., Myslajek, Tori M., Prabhu, Andrea, Manley, Ann-Marie, O’Shea, Colette, Grunenwald, Haiying, Haddican, Madelaine, Fitzgerald, Patrick M., Robinson, Timothy, Cisterna, Bruno A., Sáez, Juan C., Liu, Tai-Feng, Laird, Dale W., and Sheridan, Judson D.

Published
2016
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39. An Intuitive Graphical Approach to Understanding the Split-Plot Experiment

Author

Robinson, Timothy J., Brenneman, William A., and Myers, William R.

Abstract

While split-plot designs have received considerable attention in the literature over the past decade, there seems to be a general lack of intuitive understanding of the error structure of these designs and the resulting statistical analysis. Typically, students learn the proper error terms for testing factors of a split-plot design via "expected mean squares". This does not provide any true insight as far as why a particular error term is appropriate for a given factor effect. We provide a way to intuitively understand the error structure and resulting statistical analysis in split-plot designs through building on concepts found in simple designs, such as completely randomized and randomized complete block designs, and then provide a way for students to "see" the error structure graphically. The discussion is couched around an example from paper manufacturing. (Contains 9 tables and 3 figures.)

Published
2009

40. District Variations in Educational Resources and Student Outcomes.

Author

Unnever, James D., Kerckhoff, Allan C., and Robinson, Timothy J.

Abstract

Using data from Virginia school districts, this paper concludes that a district's educational-resource level is associated with its socioeconomic characteristics and that interdistrict variations in educational resources are associated with two kinds of student outcomes (attainments and aspiration), but not math and reading test scores. (Contains 52 references.) (MLH)

Published
2000

41. Integrated assessment of global climate, air pollution, and dietary, malnutrition and obesity health impacts of food production and consumption between 2014 and 2018

Author

Malley, Christopher S, primary, Hicks, W Kevin, additional, Kulyenstierna, Johan C I, additional, Michalopoulou, Eleni, additional, Molotoks, Amy, additional, Slater, Jessica, additional, Heaps, Charles G, additional, Ulloa, Silvia, additional, Veysey, Jason, additional, Shindell, Drew T, additional, Henze, Daven K, additional, Nawaz, Omar, additional, Anenberg, Susan C, additional, Mantlana, Brian, additional, and Robinson, Timothy P, additional

Published
2021
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43. Inhibition of Epidermal Growth Factor Receptor Signaling by Antisense Oligonucleotides as a Novel Approach to Epidermal Growth Factor Receptor Inhibition

Author

Madanayake, Thushara W., Welsh, Eric A., Darville, Lancia N.F., Koomen, John M., Chalfant, Charles E., Haura, Eric B., and Robinson, Timothy J.

Abstract

We report a novel method to inhibit epidermal growth factor receptor (EGFR) signaling using custom morpholino antisense oligonucleotides (ASOs) to drive expression of dominant negative mRNA isoforms of EGFR by ASO-induced exon skipping within the transmembrane (16) or tyrosine kinase domains (18 and 21). In vivoASO formulations induced >95% exon skipping in several models of nonsmall cell lung cancer (NSCLC) and were comparable in efficacy to erlotinib in reducing colony formation, cell viability, and migration in EGFR mutant NSCLC (PC9). However, unlike erlotinib, ASOs maintained their efficacy in both erlotinib-resistant subclones (PC9-GR) and wild-type overexpressing EGFR models (H292), in which erlotinib had no significant effect. The most dramatic ASO-induced phenotype resulted from targeting the EGFR kinase domain directly, which resulted in maximal inhibition of phosphorylation of EGFR, Akt, and Erk in both PC9 and PC9GR cells. Phosphoproteomic mass spectrometry confirmed highly congruent impacts of exon 16-, 18-, and 21-directed ASOs compared with erlotinib on PC9 genome-wide cell signaling. Furthermore, EGFR-directed ASOs had no impact in EGFR-independent NSCLC models, confirming an EGFR-specific therapeutic mechanism. Further exploration of synergy of ASOs with existing tyrosine kinase inhibitors may offer novel clinical models to improve EGFR-targeted therapies for both mutant and wild-type NSCLC patients.

Published
2022
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46. EBV-regulated global changes in mRNA isoform usage

Author

Homa Nicholas, Salinas Raul, Forte Eleonora, Robinson Timothy, Garcia-Blanco Mariano, and Luftig Micah

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Infectious and parasitic diseases, RC109-216
Published
2012
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48. Spatial visualization

Author

Pfeiffer, Dirk U., primary, Robinson, Timothy P., additional, Stevenson, Mark, additional, Stevens, Kim B., additional, Rogers, David J., additional, and Clements, Archie C. A., additional

Published
2008
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49. Introduction

Author

Pfeiffer, Dirk U., primary, Robinson, Timothy P., additional, Stevenson, Mark, additional, Stevens, Kim B., additional, Rogers, David J., additional, and Clements, Archie C. A., additional

Published
2008
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