Defining Cancer Subtypes With Distinctive Etiologic Profiles: An Application to the Epidemiology of Melanoma
Author
Abstract
Suggested Citation
DOI: 10.1080/01621459.2016.1191499
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Chatterjee, Nilanjan, 2004. "A Two-Stage Regression Model for Epidemiological Studies With Multivariate Disease Classification Data," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 127-138, January.
- Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Thiemo Fetzer & Samuel Marden, 2017.
"Take What You Can: Property Rights, Contestability and Conflict,"
Economic Journal, Royal Economic Society, vol. 0(601), pages 757-783, May.
- Fetzer, Thiemo & Marden, Samuel, 2016. "Take what you can: property rights, contestability andconflict," LSE Research Online Documents on Economics 66534, London School of Economics and Political Science, LSE Library.
- Thiemo Fetzer & Samuel Marden, 2016. "Take what you can: property rights, contestability and conflict," HiCN Working Papers 214, Households in Conflict Network.
- Thiemo, Fetzer & Marden, Samuel, 2016. "Take what you can: property rights, contestability and conflict," CAGE Online Working Paper Series 285, Competitive Advantage in the Global Economy (CAGE).
- Thiemo Fetzer & Samuel Marden, 2016. "Take What You Can: Property Rights, Contestability and Conflict," SERC Discussion Papers 0194, Centre for Economic Performance, LSE.
- Thiemo Fetzer & Samuel Marden, 2016. "Take what you can: property rights, contestability and conflict," Working Paper Series 09216, Department of Economics, University of Sussex Business School.
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022.
"Valuing the Time of the Self-Employed,"
CESifo Working Paper Series
9567, CESifo.
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2023. "Valuing the Time of the Self-Employed," Working Papers 310, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Daniel J. Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022. "Valuing the Time of the Self-Employed," NBER Working Papers 29752, National Bureau of Economic Research, Inc.
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022. "Valuing the Time of the Self-Employed," Working Papers 2022-2, Princeton University. Economics Department..
- Agness, Daniel & Baseler, Travis & Chassang, Sylvain & Dupas, Pascaline & Snowberg, Erik, 2022. "Valuing the Time of the Self-Employed," CEPR Discussion Papers 17017, C.E.P.R. Discussion Papers.
- Orietta Nicolis & Jean Paul Maidana & Fabian Contreras & Danilo Leal, 2024. "Analyzing the Impact of COVID-19 on Economic Sustainability: A Clustering Approach," Sustainability, MDPI, vol. 16(4), pages 1-30, February.
- Li, Pai-Ling & Chiou, Jeng-Min, 2011. "Identifying cluster number for subspace projected functional data clustering," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2090-2103, June.
- Yaeji Lim & Hee-Seok Oh & Ying Kuen Cheung, 2019. "Multiscale Clustering for Functional Data," Journal of Classification, Springer;The Classification Society, vol. 36(2), pages 368-391, July.
- Forzani, Liliana & Gieco, Antonella & Tolmasky, Carlos, 2017. "Likelihood ratio test for partial sphericity in high and ultra-high dimensions," Journal of Multivariate Analysis, Elsevier, vol. 159(C), pages 18-38.
- Yujia Li & Xiangrui Zeng & Chien‐Wei Lin & George C. Tseng, 2022. "Simultaneous estimation of cluster number and feature sparsity in high‐dimensional cluster analysis," Biometrics, The International Biometric Society, vol. 78(2), pages 574-585, June.
- Vojtech Blazek & Michal Petruzela & Tomas Vantuch & Zdenek Slanina & Stanislav Mišák & Wojciech Walendziuk, 2020. "The Estimation of the Influence of Household Appliances on the Power Quality in a Microgrid System," Energies, MDPI, vol. 13(17), pages 1-21, August.
- Caruso, Germán & Scartascini, Carlos & Tommasi, Mariano, 2015.
"Are we all playing the same game? The economic effects of constitutions depend on the degree of institutionalization,"
European Journal of Political Economy, Elsevier, vol. 38(C), pages 212-228.
- German Caruso & Carlos Scartascini & Mariano Tommasi, 2013. "Are We All Playing the Same Game? The Economic Effects of Constitutions Depend on the Degree of Institutionalization," Research Department Publications IDB-WP-237, Inter-American Development Bank, Research Department.
- Tommasi, Mariano & Scartascini, Carlos & Caruso, Germán, 2013. "Are We All Playing the Same Game?: The Economic Effects of Constitutions Depend on the Degree of Institutionalization," IDB Publications (Working Papers) 4612, Inter-American Development Bank.
- Mehmet Çağlar & Cem Gürler, 2022. "Sustainable Development Goals: A cluster analysis of worldwide countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8593-8624, June.
- Jelle R Dalenberg & Luca Nanetti & Remco J Renken & René A de Wijk & Gert J ter Horst, 2014. "Dealing with Consumer Differences in Liking during Repeated Exposure to Food; Typical Dynamics in Rating Behavior," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-11, March.
- Daniel Lewis & Davide Melcangi & Laura Pilossoph, 2019.
"Latent Heterogeneity in the Marginal Propensity to Consume,"
2019 Meeting Papers
519, Society for Economic Dynamics.
- Daniel J. Lewis & Davide Melcangi & Laura Pilossoph, 2019. "Latent Heterogeneity in the Marginal Propensity to Consume," Staff Reports 902, Federal Reserve Bank of New York.
- Daniel Lewis & Davide Melcangi & Laura Pilossoph, 2024. "Latent Heterogeneity in the Marginal Propensity to Consume," NBER Working Papers 32523, National Bureau of Economic Research, Inc.
- Daniel Lewis & Davide Melcangi & Laura Pilossoph, 2024. "Latent heterogeneity in the marginal propensity to consume," CeMMAP working papers 13/24, Institute for Fiscal Studies.
- Chun-Xia Zhang & Jiang-She Zhang & Sang-Woon Kim, 2016. "PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection," Computational Statistics, Springer, vol. 31(4), pages 1237-1262, December.
- J. Fernando Vera & Rodrigo Macías, 2021. "On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 489-513, June.
- Germán Caruso & Walter Sosa-Escudero & Marcela Svarc, 2015.
"Deprivation and the Dimensionality of Welfare: A Variable-Selection Cluster-Analysis Approach,"
Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(4), pages 702-722, December.
- Germán Caruso & Walter Sosa-Escudero & Marcela Svarc, 2011. "Deprivation and the Dimnensionality of Welfare: A Variable-Selection Cluster-Analysis Approach," CEDLAS, Working Papers 0112, CEDLAS, Universidad Nacional de La Plata.
- Fang, Yixin & Wang, Junhui, 2011. "Penalized cluster analysis with applications to family data," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2128-2136, June.
- Yingqiu Zhu & Qiong Deng & Danyang Huang & Bingyi Jing & Bo Zhang, 2021. "Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 558-578, June.
- Aswin Balasubramanian & Floran Martin & Md Masum Billah & Osaruyi Osemwinyen & Anouar Belahcen, 2021. "Application of Surrogate Optimization Routine with Clustering Technique for Optimal Design of an Induction Motor," Energies, MDPI, vol. 14(16), pages 1-19, August.
- Youmi Suk, 2024. "A Within-Group Approach to Ensemble Machine Learning Methods for Causal Inference in Multilevel Studies," Journal of Educational and Behavioral Statistics, , vol. 49(1), pages 61-91, February.
- Henner Gimpel & Daniel Rau & Maximilian Röglinger, 2018. "Understanding FinTech start-ups – a taxonomy of consumer-oriented service offerings," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 245-264, August.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jnlasa:v:112:y:2017:i:517:p:54-63. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UASA20 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.