Accurate Computation of Survival Statistics in Genome-Wide Studies
暂无分享,去创建一个
Eli Upfal | Benjamin J. Raphael | Fabio Vandin | Alexandra Papoutsaki | E. Upfal | Fabio Vandin | Alexandra Papoutsaki
[1] James V. Neel,et al. lessons from , 2010 .
[2] J. Kalbfleisch,et al. The Statistical Analysis of Failure Time Data , 1980 .
[3] Gord Glendon,et al. Association Between BRCA1 and BRCA2 Mutations and Survival in Women With Invasive Epithelial Ovarian Cancer , 2012 .
[4] Michael A. Choti,et al. DAXX/ATRX, MEN1, and mTOR Pathway Genes Are Frequently Altered in Pancreatic Neuroendocrine Tumors , 2011, Science.
[5] P. Kleihues,et al. IDH1 Mutations as Molecular Signature and Predictive Factor of Secondary Glioblastomas , 2009, Clinical Cancer Research.
[6] M. Pagano,et al. On Obtaining Permutation Distributions in Polynomial Time , 1983 .
[7] Han Liu,et al. Clinical and pathologic impact of select chromatin-modulating tumor suppressors in clear cell renal cell carcinoma. , 2013, European urology.
[8] F. Jänicke,et al. Prognostic relevance of AIB1 (NCoA3) amplification and overexpression in breast cancer , 2013, Breast Cancer Research and Treatment.
[9] E. Giné,et al. Exome sequencing identifies recurrent mutations of the splicing factor SF3B1 gene in chronic lymphocytic leukemia , 2011, Nature Genetics.
[10] Steven J. M. Jones,et al. Comprehensive molecular characterization of clear cell renal cell carcinoma , 2013, Nature.
[11] Steven J. M. Jones,et al. Comprehensive molecular portraits of human breast tumors , 2012, Nature.
[12] David C Christiani,et al. Genome-wide analysis of survival in early-stage non-small-cell lung cancer. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[13] F. Ducray,et al. IDH1 and IDH2 mutations in gliomas. , 2009, The New England journal of medicine.
[14] J. Peto,et al. Asymptotically Efficient Rank Invariant Test Procedures , 1972 .
[15] Eric Vigoda,et al. An FPTAS for #Knapsack and Related Counting Problems , 2011, 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science.
[16] J. Concato,et al. A simulation study of the number of events per variable in logistic regression analysis. , 1996, Journal of clinical epidemiology.
[17] Steven J. M. Jones,et al. Comprehensive molecular portraits of human breast tumours , 2013 .
[18] Ronald W. Butler,et al. Log‐rank permutation tests for trend: saddlepoint p‐values and survival rate confidence intervals , 2009 .
[19] Barbara Burwinkel,et al. Association of NCOA3 Polymorphisms with Breast Cancer Risk , 2005, Clinical Cancer Research.
[20] Uri Keich. sFFT: A Faster Accurate Computation of the p-Value of the Entropy Score , 2005, J. Comput. Biol..
[21] Goro Takahashi,et al. Galanin has tumor suppressor activity and is frequently inactivated by aberrant promoter methylation in head and neck cancer. , 2013, Translational oncology.
[22] Chul-Kee Park,et al. IDH1 mutation of gliomas with long-term survival analysis. , 2012, Oncology reports.
[23] Albrecht M. Kellerer,et al. Small-Sample Properties of Censored-Data Rank Tests , 1983 .
[24] R. Latta,et al. A Monte Carlo Study of Some Two-Sample Rank Tests with Censored Data , 1981 .
[25] Gilbert MacKenzie,et al. The Statistical Analysis of Failure Time Data , 1982 .
[26] Verena I Gaidzik,et al. RUNX1 mutations in acute myeloid leukemia: results from a comprehensive genetic and clinical analysis from the AML study group. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[27] N. Mantel. Evaluation of survival data and two new rank order statistics arising in its consideration. , 1966, Cancer chemotherapy reports.
[28] Steven J. M. Jones,et al. Comprehensive molecular characterization of human colon and rectal cancer , 2012, Nature.
[29] P. Bugert,et al. c‐MYC Asn11Ser is associated with increased risk for familial breast cancer , 2005, International journal of cancer.
[30] W. Haenszel,et al. Statistical aspects of the analysis of data from retrospective studies of disease. , 1959, Journal of the National Cancer Institute.
[31] Uri Keich,et al. Computing the P-value of the information content from an alignment of multiple sequences , 2005, ISMB.
[32] Michael Gnant,et al. Exact Log‐Rank Tests for Unequal Follow‐Up , 2003, Biometrics.
[33] Nathan Mantel,et al. Propriety of the Mantel - Haenszel variance for the log rank test , 1985 .
[34] Mark Brown,et al. On the choice of variance for the log rank test , 1984 .
[35] P Peduzzi,et al. Importance of events per independent variable in proportional hazards analysis. I. Background, goals, and general strategy. , 1995, Journal of clinical epidemiology.
[36] R. Guillevin,et al. IDH1 or IDH2 mutations predict longer survival and response to temozolomide in low-grade gliomas , 2010, Neurology.
[37] Zhengyan Kan,et al. Exome sequencing identifies frequent mutation of ARID1A in molecular subtypes of gastric cancer , 2011, Nature Genetics.
[38] J. Concato,et al. Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. , 1995, Journal of clinical epidemiology.
[39] Benjamin J. Raphael,et al. Integrated Genomic Analyses of Ovarian Carcinoma , 2011, Nature.
[40] Aleix Prat Aparicio. Comprehensive molecular portraits of human breast tumours , 2012 .
[41] V. Heinemann,et al. Clinical relevance of EGFR- and KRAS-status in colorectal cancer patients treated with monoclonal antibodies directed against the EGFR. , 2009, Cancer treatment reviews.
[42] Puthen V. Jithesh,et al. Identification of Galanin and Its Receptor GalR1 as Novel Determinants of Resistance to Chemotherapy and Potential Biomarkers in Colorectal Cancer , 2012, Clinical Cancer Research.
[43] K. Kinzler,et al. Cancer Genome Landscapes , 2013, Science.
[44] The Cancer Genome Atlas Research Network. COMPREHENSIVE MOLECULAR CHARACTERIZATION OF CLEAR CELL RENAL CELL CARCINOMA , 2013, Nature.
[45] E. Lander,et al. Lessons from the Cancer Genome , 2013, Cell.
[46] Thomas E. Carey,et al. Epigenetic Inactivation of Galanin Receptor 1 in Head and Neck Cancer , 2008, Clinical Cancer Research.
[47] R. Fisher. 019: On the Interpretation of x2 from Contingency Tables, and the Calculation of P. , 1922 .
[48] Douglas F. Easton,et al. Association between BRCA1 and BRCA2 mutations and survival in women with invasive epithelial ovarian cancer. , 2012, JAMA.
[49] Naftali Tishby,et al. Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data , 2004, J. Comput. Biol..
[50] Robert Tibshirani,et al. Survival analysis with high-dimensional covariates , 2010, Statistical methods in medical research.
[51] D C Linch,et al. Impact of NOTCH1/FBXW7 mutations on outcome in pediatric T-cell acute lymphoblastic leukemia patients treated on the MRC UKALL 2003 trial , 2013, Leukemia.
[52] Martin E. Dyer,et al. A Mildly Exponential Time Algorithm for Approximating the Number of Solutions to a Multidimensional Knapsack Problem , 1993, Combinatorics, Probability and Computing.
[53] Tao Wang,et al. Comparison of statistics in association tests of genetic markers for survival outcomes , 2014, Statistics in medicine.
[54] G Heimann,et al. Permutational distribution of the log-rank statistic under random censorship with applications to carcinogenicity assays. , 1998, Biometrics.
[55] Cyrus R. Mehta,et al. Computing an Exact Confidence Interval for the Common Odds Ratio in Several 2×2 Contingency Tables , 1985 .
[56] R. Fisher. On the Interpretation of χ2 from Contingency Tables, and the Calculation of P , 2010 .
[57] Sang Kyun Sohn,et al. VARS2 V552V variant as prognostic marker in patients with early breast cancer , 2011, Medical oncology.