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The ability to predict individualized treatment effects (ITEs) based on a given patient's profile is essential for personalized medicine.
Tripuraneni, N. and L. Mackey (2019) · 1908
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Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · 1996
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Atomic decomposition by basis pursuit
Chen, S. S., D. L. Donoho, and M. A. Saunders (2001) · 2001
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Variable selection via nonconcave penalized likelihood and its oracle properties
Fan, J. and R. Li (2001) · 2001
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Genetic markers for the efficacy of tumour necrosis factor blocking therapy in rheumatoid arthritis
Padyukov, L., J. Lampa, M. Heimbürger, S. Ernestam, T. Cederholm, I. Lundkvist, P. Andersson, Y. Hermansson, A. Harju, L. Klareskog, et al. (2003) · 2003
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Moving towards individualized medicine with pharmacogenomics
Evans, W. E. and M. V. Relling (2004) · 2004
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Mutations in the epidermal growth factor receptor and in kras are predictive and prognostic indicators in patients with non–small-cell lung cancer treated with chemotherapy alone and in combination with erlotinib
Eberhard, D. A., B. E. Johnson, L. C. Amler, A. D. Goddard, S. L. Heldens, R. S. Herbst, W. L. Ince, P. A. Jänne, T. Januario, D. H. Johnson, et al. (2005) · 2005
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Anti-tnf antibody therapy in rheumatoid arthritis and the risk of serious infections and malignancies: systematic review and meta-analysis of rare harmful effects in randomized controlled trials
Bongartz, T., A. J. Sutton, M. J. Sweeting, I. Buchan, E. L. Matteson, and V. Montori (2006) · 2006
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The premier study: a multicenter, randomized, double-blind clinical trial of combination therapy with adalimumab plus methotrexate versus methotrexate alone or adalimumab alone in patients with early, aggressive rheumatoid arthritis who had not had previous methotrexate treatment
Breedveld, F. C., M. H. Weisman, A. F. Kavanaugh, S. B. Cohen, K. Pavelka, R. v. Vollenhoven, J. Sharp, J. L. Perez, and G. T. Spencer-Green (2006) · 2006
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Comparison of etanercept and methotrexate, alone and combined, in the treatment of rheumatoid arthritis: two-year clinical and radiographic results from the tempo study, a double-blind, randomized trial
van der Heijde, D., L. Klareskog, V. Rodriguez-Valverde, C. Codreanu, H. Bolosiu, J. Melo-Gomes, J. Tornero-Molina, J. Wajdula, R. Pedersen, S. Fatenejad, et al. (2006) · 2006
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The dantzig selector: statistical estimation when p is much larger than n
Candès, E. and T. Tao (2007) · 2007
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Combined tumour necrosis factor-alpha and tumour necrosis factor receptor genotypes could predict rheumatoid arthritis patients’ response to anti-tnf-alpha therapy and explain controversies of studies based on a single polymorphism
Chatzikyriakidou, A., I. Georgiou, P. Voulgari, A. Venetsanopoulou, and A. Drosos (2007) · 2007
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Ensemble methods for classification of patients for personalized medicine with high-dimensional data
Moon, H., H. Ahn, R. L. Kodell, S. Baek, C.-J. Lin, and J. J. Chen (2007) · 2007
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Feasibility and efficacy of molecular analysis-directed individualized therapy in advanced non–small-cell lung cancer
Simon, G., A. Sharma, X. Li, T. Hazelton, F. Walsh, C. Williams, A. Chiappori, E. Haura, T. Tanvetyanon, S. Antonia, et al. (2007) · 2007
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Comparison of methotrexate monotherapy with a combination of methotrexate and etanercept in active, early, moderate to severe rheumatoid arthritis (comet): a randomised, double-blind, parallel treatment trial
Emery, P., F. C. Breedveld, S. Hall, P. Durez, D. J. Chang, D. Robertson, A. Singh, R. D. Pedersen, A. S. Koenig, and B. Freundlich (2008) · 2008
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Genome-wide association scan identifies candidate polymorphisms associated with differential response to anti-tnf treatment in rheumatoid arthritis
Liu, C., F. Batliwalla, W. Li, A. Lee, R. Roubenoff, E. Beckman, H. Khalili, A. Damle, M. Kern, R. M. Plenge, et al. (2008) · 2008
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Simultaneous analysis of lasso and dantzig selector
Bickel, P. J., Y. Ritov, and A. B. Tsybakov (2009) · 2009
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Anti-tnf biologic agents: still the therapy of choice for rheumatoid arthritis
Taylor, P. C. and M. Feldmann (2009) · 2009
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Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial
Albain, K. S., W. E. Barlow, S. Shak, G. N. Hortobagyi, R. B. Livingston, I.-T. Yeh, P. Ravdin, R. Bugarini, F. L. Baehner, N. E. Davidson, et al. (2010) · 2010
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Electronic medical records for discovery research in rheumatoid arthritis
Liao, K. P., T. Cai, V. Gainer, S. Goryachev, Q. Zeng-treitler, S. Raychaudhuri, P. Szolovits, S. Churchill, S. Murphy, I. Kohane, et al. (2010) · 2010
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Nearly unbiased variable selection under minimax concave penalty
Zhang, C.-H. (2010) · 2010
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Inference for high-dimensional sparse econometric models
Belloni, A., V. Chernozhukov, and C. Hansen (2011) · 2011
Cited alongside, same era.
Square-root lasso: pivotal recovery of sparse signals via conic programming
Confidence intervals and hypothesis testing for high-dimensional regression
Javanmard, A. and A. Montanari (2014) · 2014
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Acpa-positive and acpa-negative rheumatoid arthritis differ in their requirements for combination dmards and corticosteroids: secondary analysis of a randomized controlled trial
Seegobin, S. D., M. H. Ma, C. Dahanayake, A. P. Cope, D. L. Scott, C. M. Lewis, and I. C. Scott (2014) · 2014
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On asymptotically optimal confidence regions and tests for high-dimensional models
van de Geer, S., P. Bühlmann, Y. Ritov, and R. Dezeure (2014) · 2014
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Confidence intervals for low dimensional parameters in high dimensional linear models
Zhang, C.-H. and S. S. Zhang (2014) · 2014
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The 2015 american college of rheumatology guideline for the treatment of rheumatoid arthritis should include new standards for hepatitis b screening: comment on the article by singh et al
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Belloni, A., V. Chernozhukov, and L. Wang (2011) · 2011
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Statistics for high-dimensional data: methods, theory and applications
Bühlmann, P. and S. van de Geer (2011) · 2011
Cited alongside, same era.
Predictive biomarkers: a paradigm shift towards personalized cancer medicine
La Thangue, N. B. and D. J. Kerr (2011) · 2011
Cited alongside, same era.
Performance guarantees for individualized treatment rules
Qian, M. and S. A. Murphy (2011) · 2011
Cited alongside, same era.
Sparse models and methods for optimal instruments with an application to eminent domain
Belloni, A., D. Chen, V. Chernozhukov, and C. Hansen (2012) · 2012
Cited alongside, same era.
High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis
Eyre, S., J. Bowes, D. Diogo, A. Lee, A. Barton, P. Martin, A. Zhernakova, E. Stahl, S. Viatte, K. McAllister, et al. (2012) · 2012
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A translational engine at the national scale: informatics for integrating biology and the bedside
Kohane, I. S., S. E. Churchill, and S. N. Murphy (2012) · 2012
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Personalized medicine and pharmacogenetic biomarkers: progress in molecular oncology testing
Ong, F., K. Das, J. Wang, H. Vakil, J. Kuo, W. Blackwell, S. Lim, M. Goodarzi, K. Bernstein, J. Rotter, et al. (2012) · 2012
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Calabrese, L. H., C. Calabrese, and E. Kirchner (2016) · 2015
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The flare package for high dimensional linear regression and precision matrix estimation in r
Li, X., T. Zhao, X. Yuan, and H. Liu (2015) · 2015
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On sparse representation for optimal individualized treatment selection with penalized outcome weighted learning
Song, R., M. Kosorok, D. Zeng, Y. Zhao, E. Laber, and M. Yuan (2015, Feb) · 2015
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The biobank portal for partners personalized medicine: A query tool for working with consented biobank samples, genotypes, and phenotypes using i2b2
Gainer, V. S., A. Cagan, V. M. Castro, S. Duey, B. Ghosh, A. P. Goodson, S. Goryachev, R. Metta, T. D. Wang, N. Wattanasin, et al. (2016) · 2016
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Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity
Cai, T. T. and Z. Guo (2017) · 2017
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Long-term efficacy and safety of antitumour necrosis factor alpha treatment in rhupus: an open-label study of 15 patients
Danion, F., L. Sparsa, L. Arnaud, G. Alsaleh, F. Lefebvre, V. Gies, T. Martin, C. Lukas, J. Durckel, M. Ardizzone, et al. (2017) · 2017
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A flexible framework for hypothesis testing in high-dimensions
Javanmard, A. and J. D. Lee (2017) · 2017
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Residual weighted learning for estimating individualized treatment rules
Zhou, X., N. Mayer-Hamblett, U. Khan, and M. R. Kosorok (2017) · 2017
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A projection pursuit framework for testing general high-dimensional hypothesis
Zhu, Y. and J. Bradic (2017) · 2017
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Approximate residual balancing: debiased inference of average treatment effects in high dimensions
Athey, S., G. W. Imbens, and S. Wager (2018) · 2018
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Linear hypothesis testing in dense high-dimensional linear models
Zhu, Y. and J. Bradic (2018) · 2018
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Semi-supervised inference for explained variance in high-dimensional linear regression and its applications
Cai, T. T. and Z. Guo (2019) · 2019
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Precision medicine for advanced pancreas cancer: the individualized molecular pancreatic cancer therapy (impact) trial
Chantrill, L. A., A. M. Nagrial, C. Watson, A. L. Johns, M. Martyn-Smith, S. Simpson, S. Mead, M. D. Jones, J. S. Samra, A. J. Gill, et al. (2015) · 2037
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