Publications -- Robert Tibshirani -- PiP Score

Publications: Robert Tibshirani

Affiliation: Professor of Biomedical Data Sciences, and of Statistics, Stanford University
Google Scholar ID: ZpG_cJwAAAAJ
Total Publications: 771

Title	Year	Citations	Score
Regression shrinkage and selection via the lasso Journal of the Royal Statistical Society. Series B (Methodological), 267-288, 1996 View Details	1996	57356	100.0%
An introduction to the bootstrap CRC press, 1994 View Details	1994	52905	100.0%
An introduction to statistical learning springer 112, 18, 2013 View Details	2013	20028	100.0%
Least angle regression View Details	2004	12292	100.0%
Regularization paths for generalized linear models via coordinate descent Journal of statistical software 33 (1), 1, 2010 View Details	2010	17065	100.0%
Generalized Additive Models CRC Press, 1990 View Details	1990	22964	100.0%
Statistical significance for genomewide studies Proceedings of the National Academy of Sciences 100 (16), 9440-9445, 2003 View Details	2003	10624	99.9%
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications Proceedings of the National Academy of Sciences 98 (19), 10869-10874, 2001 View Details	2001	17015	99.9%
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling Nature 403 (6769), 503-511, 2000 View Details	2000	12306	99.9%
Significance analysis of microarrays applied to the ionizing radiation response Proceedings of the National Academy of Sciences 98 (9), 5116-5121, 2001 View Details	2001	14449	99.9%
Sparse inverse covariance estimation with the graphical lasso Biostatistics 9 (3), 432-441, 2008 View Details	2008	6584	99.9%
Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors) The annals of statistics 28 (2), 337-407, 2000 View Details	2000	9286	99.8%
glmnet: Lasso and elastic-net regularized generalized linear models Astrophysics Source Code Library, ascl: 2308.011, 2023 View Details	2023	946	99.8%
Estimating the number of clusters in a data set via the gap statistic Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001 View Details	2001	6973	99.8%
Statistical learning with sparsity: the lasso and generalizations CRC press, 2015 View Details	2015	3782	99.7%
Sparse principal component analysis Journal of computational and graphical statistics 15 (2), 265-286, 2006 View Details	2006	3830	99.7%
Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy Statistical science, 54-75, 1986 View Details	1986	8165	99.7%
Sparsity and smoothness via the fused lasso Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2005 View Details	2005	3303	99.6%
Missing value estimation methods for DNA microarrays Bioinformatics 17 (6), 520-525, 2001 View Details	2001	4528	99.6%
The lasso method for variable selection in the Cox model Statistics in medicine 16 (4), 385-395, 1997 View Details	1997	3911	99.6%
Diagnosis of multiple cancer types by shrunken centroids of gene expression Proceedings of the National Academy of Sciences 99 (10), 6567-6572, 2002 View Details	2002	3476	99.5%
Pathwise coordinate optimization View Details	2007	2545	99.4%
Varying-coefficient models Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1993 View Details	1993	2663	99.4%
Regularization paths for Cox’s proportional hazards model via coordinate descent Journal of statistical software 39 (5), 1, 2011 View Details	2011	2059	99.3%
Increasing value and reducing waste in research design, conduct, and analysis The Lancet 383 (9912), 166-175, 2014 View Details	2014	1544	99.2%
A sparse-group lasso Journal of computational and graphical statistics 22 (2), 231-245, 2013 View Details	2013	1584	99.2%
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis Biostatistics 10 (3), 515-534, 2009 View Details	2009	1723	99.1%
Improvements on cross-validation: the 632+ bootstrap method Journal of the American Statistical Association 92 (438), 548-560, 1997 View Details	1997	2234	99.0%
An introduction to statistical learning with applications in R springer publication, 2013 View Details	2013	1376	99.0%
Spectral regularization algorithms for learning large incomplete matrices The Journal of Machine Learning Research 11, 2287-2322, 2010 View Details	2010	1678	99.0%
Empirical Bayes analysis of a microarray experiment Journal of the American statistical association 96 (456), 1151-1160, 2001 View Details	2001	2271	98.9%
Classification by pairwise coupling Advances in neural information processing systems 10, 1997 View Details	1997	2134	98.9%
Genetics of 35 blood and urine biomarkers in the UK Biobank Nature genetics 53 (2), 185-194, 2021 View Details	2021	441	98.9%
Linear smoothers and additive models The Annals of Statistics, 453-510, 1989 View Details	1989	1582	98.8%
Tree-based methods An Introduction to Statistical Learning: with Applications in Python, 331-366, 2023 View Details	2023	177	98.8%
Statistical learning An Introduction to Statistical Learning: with Applications in Python, 15-67, 2023 View Details	2023	168	98.7%
Association between cellular-telephone calls and motor vehicle collisions New England Journal of Medicine 336 (7), 453-458, 1997 View Details	1997	1698	98.6%
Cross-validation: what does it estimate and how well does it do it? Journal of the American Statistical Association, 1-12, 2023 View Details	2023	148	98.5%
Statistical data analysis in the computer age Science 253 (5018), 390-395, 1991 View Details	1991	1519	98.5%
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 View Details	2022	220	98.5%
Gene expression profiling identifies clinically relevant subtypes of prostate cancer Proceedings of the National Academy of Sciences 101 (3), 811-816, 2004 View Details	2004	1581	98.5%
Discriminant adaptive nearest neighbor classification and regression Advances in neural information processing systems 8, 1995 View Details	1995	1399	98.4%
Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins Nature medicine 13 (11), 1359-1362, 2007 View Details	2007	1277	98.3%
Linear regression An introduction to statistical learning: With applications in python, 69-134, 2023 View Details	2023	133	98.3%
Defining the features and duration of antibody responses to SARS-CoV-2 infection associated with disease severity and outcome Science immunology 5 (54), eabe0240, 2020 View Details	2020	461	98.3%
On the “degrees of freedom” of the lasso View Details	2007	1240	98.3%
A significance test for the lasso Annals of statistics 42 (2), 413, 2014 View Details	2014	852	98.2%
Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors Proceedings of the National Academy of Sciences 99 (20), 12963-12968, 2002 View Details	2002	1480	98.2%
Integrating genomic features for non-invasive early lung cancer detection Nature 580 (7802), 245-251, 2020 View Details	2020	427	98.1%
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival Proceedings of the national academy of sciences 102 (10), 3738-3743, 2005 View Details	2005	1151	98.0%
Unsupervised learning The elements of statistical learning: Data mining, inference, and prediction …, 2009 View Details	2009	995	98.0%
Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia New England Journal of Medicine 350 (16), 1605-1616, 2004 View Details	2004	1240	97.9%
A note on the group lasso and a sparse group lasso arXiv preprint arXiv:1001.0736, 2010 View Details	2010	984	97.9%
Penalized Discriminant-Analysis annals of statistics, 1995 View Details	1995	1132	97.9%
Generalized additive models: some applications Journal of the American Statistical Association 82 (398), 371-386, 1987 View Details	1987	1042	97.8%
On testing the significance of sets of genes View Details	2007	1040	97.8%
1-norm support vector machines Advances in neural information processing systems 16, 2003 View Details	2003	1237	97.7%
Prediction by supervised principal components Journal of the American Statistical Association 101 (473), 119-137, 2006 View Details	2006	984	97.7%
Discriminant Analysis by Gaussian Mixtures Journal of the Royal Statistical Society: Series B, 1996 View Details	1996	1039	97.6%
Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes New England Journal of Medicine 350 (18), 1828-1837, 2004 View Details	2004	1087	97.5%
Resampling methods An Introduction to Statistical Learning: with Applications in Python, 201-228, 2023 View Details	2023	95	97.5%
Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination Proceedings of the National Academy of Sciences 111 (2), 869-874, 2014 View Details	2014	650	97.5%
Local likelihood estimation Journal of the American Statistical Association 82 (398), 559-567, 1987 View Details	1987	936	97.5%
Flexible discriminant analysis by optimal scoring Journal of the American statistical association 89 (428), 1255-1270, 1994 View Details	1994	1013	97.4%
Strong rules for discarding predictors in lasso-type problems Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2012 View Details	2012	722	97.4%
Transparency and reproducibility in artificial intelligence Nature 586 (7829), E14-E16, 2020 View Details	2020	315	97.2%
An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging Nature aging 1 (7), 598-615, 2021 View Details	2021	213	97.2%
A framework for feature selection in clustering Journal of the American Statistical Association 105 (490), 713-726, 2010 View Details	2010	783	97.1%
The entire regularization path for the support vector machine Journal of Machine Learning Research 5 (Oct), 1391-1415, 2004 View Details	2004	940	97.0%
Regularized linear discriminant analysis and its application in microarrays Biostatistics 8 (1), 86-100, 2007 View Details	2007	815	96.9%
A lasso for hierarchical interactions Annals of statistics 41 (3), 1111, 2013 View Details	2013	585	96.8%
Finding consistent patterns: a nonparametric approach for identifying differential expression in RNA-Seq data Statistical methods in medical research 22 (5), 519-536, 2013 View Details	2013	551	96.5%
Precision and functional specificity in mRNA decay Proceedings of the National Academy of Sciences 99 (9), 5860-5865, 2002 View Details	2002	888	96.5%
Semi-supervised methods to predict patient survival from gene expression data PLoS biology 2 (4), e108, 2004 View Details	2004	832	96.5%
Cluster validation by prediction strength Journal of Computational and Graphical Statistics 14 (3), 511-528, 2005 View Details	2005	750	96.4%
An immune clock of human pregnancy Science immunology 2 (15), eaan2946, 2017 View Details	2017	418	96.3%
Empirical Bayes methods and false discovery rates for microarrays Genetic epidemiology 23 (1), 70-86, 2002 View Details	2002	854	96.3%
Exact post-selection inference for sequential regression procedures Journal of the American Statistical Association 111 (514), 600-620, 2016 View Details	2016	439	96.3%
An introduction to statistical learning: With applications in python Springer Nature, 2023 View Details	2023	68	96.2%
Autoantibody epitope spreading in the pre-clinical phase predicts progression to rheumatoid arthritis PloS one 7 (5), e35296, 2012 View Details	2012	539	96.1%
Extended comparisons of best subset selection, forward stepwise selection, and the lasso arXiv preprint arXiv:1707.08692, 2017 View Details	2017	396	96.0%
Unsupervised learning An Introduction to Statistical Learning: with Applications in Python, 503-556, 2023 View Details	2023	64	96.0%
Automated identification of stratifying signatures in cellular subpopulations Proceedings of the National Academy of Sciences 111 (26), E2770-E2777, 2014 View Details	2014	450	95.9%
Other considerations in the regression model An Introduction to Statistical Learning: with Applications in R 103, 82-102, 2013 View Details	2013	481	95.9%
Expression of cytokeratins 17 and 5 identifies a group of breast carcinomas with poor clinical outcome The American journal of pathology 161 (6), 1991-1996, 2002 View Details	2002	787	95.8%
Extensions of sparse canonical correlation analysis with applications to genomic data Statistical applications in genetics and molecular biology 8 (1), 2009 View Details	2009	577	95.7%
Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene‐expression subtypes of breast cancer Genes, Chromosomes and Cancer 45 (11), 1033-1040, 2006 View Details	2006	607	95.6%
A simple method for estimating interactions between a treatment and a large number of covariates Journal of the American Statistical Association 109 (508), 1517-1532, 2014 View Details	2014	421	95.5%
Cell type–specific gene expression differences in complex tissues Nature methods 7 (4), 287-289, 2010 View Details	2010	541	95.4%
'Gene shaving'as a method for identifying distinct sets of genes with similar expression patterns Genome biology 1 (2), 1-21, 2000 View Details	2000	740	95.4%
Statistical learning and selective inference Proceedings of the National Academy of Sciences 112 (25), 7629-7634, 2015 View Details	2015	375	95.1%
In situ vaccination with a TLR9 agonist induces systemic lymphoma regression: a phase I/II study Journal of clinical oncology 28 (28), 4324, 2010 View Details	2010	516	95.1%
Penalized classification using Fisher’s linear discriminant Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011 View Details	2011	485	95.1%
Best subset, forward stepwise or lasso? Analysis and recommendations based on extensive comparisons View Details	2020	198	95.0%
Normalization, testing, and false discovery rate estimation for RNA-sequencing data Biostatistics 13 (3), 523-538, 2012 View Details	2012	435	94.9%
Sustained outcomes in oral immunotherapy for peanut allergy (POISED study): a large, randomised, double-blind, placebo-controlled, phase 2 study The Lancet 394 (10207), 1437-1449, 2019 View Details	2019	225	94.8%
An introduction to the bootstrap Monographs on statistics and applied probability 57 (1), 1993 View Details	1993	521	94.6%
Post-infusion CAR TReg cells identify patients resistant to CD19-CAR therapy Nature Medicine 28 (9), 1860-1871, 2022 View Details	2022	79	94.5%
Regression selection and shrinkage via the lasso Journal of the Royal Statistical Society Series B 58 (1), 267-288, 1996 View Details	1996	508	94.0%
Class prediction by nearest shrunken centroids, with applications to DNA microarrays Statistical Science, 104-117, 2003 View Details	2003	567	94.0%
4.3: Linear Discriminant Analysis The elements of statistical learning 1, 106-119, 2001 View Details	2001	578	93.8%
Generalized additive models for medical research Statistical methods in medical research 4 (3), 187-196, 1995 View Details	1995	467	93.7%
Metabolic dynamics and prediction of gestational age and time to delivery in pregnant women Cell 181 (7), 1680-1692. e15, 2020 View Details	2020	165	93.7%
Noninformative priors for one parameter of many Biometrika 76 (3), 604-608, 1989 View Details	1989	412	93.7%
Sparse estimation of a covariance matrix Biometrika 98 (4), 807-820, 2011 View Details	2011	393	93.6%
Molecular transducers of physical activity consortium (MoTrPAC): mapping the dynamic responses to exercise Cell 181 (7), 1464-1474, 2020 View Details	2020	161	93.5%
Combining estimates in regression and classification Journal of the American Statistical Association 91 (436), 1641-1650, 1996 View Details	1996	475	93.5%
Spatial smoothing and hot spot detection for CGH data using the fused lasso Biostatistics 9 (1), 18-29, 2008 View Details	2008	429	93.4%
Different gene expression patterns in invasive lobular and ductal carcinomas of the breast Molecular biology of the cell 15 (6), 2523-2536, 2004 View Details	2004	494	93.4%
An introduction to the bootstrap Chapman & Hall, New York, 1993 View Details	1993	429	93.4%
Noninvasive blood tests for fetal development predict gestational age and preterm delivery Science 360 (6393), 1133-1136, 2018 View Details	2018	226	93.0%
A study of error variance estimation in lasso regression Statistica Sinica, 35-67, 2016 View Details	2016	255	92.9%
Mapping lung cancer epithelial-mesenchymal transition states and trajectories with single-cell resolution Nature communications 10 (1), 5587, 2019 View Details	2019	171	92.7%
Some methods for heterogeneous treatment effect estimation in high dimensions Statistics in medicine 37 (11), 1767-1787, 2018 View Details	2018	209	92.4%
glasso: Graphical lasso-estimation of Gaussian graphical models R package version 1 (8), 2014 View Details	2014	274	92.3%
Boosting and additive trees The elements of statistical learning: data mining, inference, and prediction …, 2009 View Details	2009	364	92.3%
Random forests The elements of statistical learning: Data mining, inference, and prediction …, 2009 View Details	2009	364	92.3%
Lassonet: A neural network with feature sparsity The Journal of Machine Learning Research 22 (1), 5633-5661, 2021 View Details	2021	96	92.2%
The measurement of patients' values in medicine Medical Decision Making 2 (4), 449-462, 1982 View Details	1982	319	92.2%
A comparison of some error estimates for neural network models Neural computation 8 (1), 152-163, 1996 View Details	1996	401	92.2%
Linear model selection and regularization An introduction to statistical learning: with applications in R, 225-288, 2021 View Details	2021	95	92.1%
Prototype selection for interpretable classification View Details	2011	325	92.0%
Dynamic risk profiling using serial tumor biomarkers for personalized outcome prediction Cell 178 (3), 699-713. e19, 2019 View Details	2019	158	91.9%
Gene expression patterns in ovarian carcinomas Molecular biology of the cell 14 (11), 4376-4386, 2003 View Details	2003	441	91.8%
earth: Multivariate adaptive regression splines R package version 5 (2), 2017 View Details	2017	206	91.6%
Post‐selection inference for‐penalized likelihood models Canadian Journal of Statistics 46 (1), 41-61, 2018 View Details	2018	191	91.6%
Differentiation stage–specific expression of microRNAs in B lymphocytes and diffuse large B-cell lymphomas Blood, The Journal of the American Society of Hematology 113 (16), 3754-3764, 2009 View Details	2009	333	91.5%
Exploring the nature of covariate effects in the proportional hazards model Biometrics, 1005-1016, 1990 View Details	1990	335	91.5%
An introduction to the bootstrap Monographs on statistics and applied probability 57, 158, 1993 View Details	1993	336	91.4%
A Simple Method for the Adjustment of Profile Likelihoods View Details	1990	316	90.9%
Diagnosis of prostate cancer by desorption electrospray ionization mass spectrometric imaging of small metabolites and lipids Proceedings of the National Academy of Sciences 114 (13), 3334-3339, 2017 View Details	2017	190	90.8%
The Bootstrap Method for Assessing Statistical Accuracy View Details	1985	310	90.8%
Transcriptional profiling of long non-coding RNAs and novel transcribed regions across a diverse panel of archived human cancers Genome biology 13, 1-13, 2012 View Details	2012	269	90.8%
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy Bioinformatics 35 (1), 95-103, 2019 View Details	2019	138	90.6%
Notch signals positively regulate activity of the mTOR pathway in T-cell acute lymphoblastic leukemia Blood, The Journal of the American Society of Hematology 110 (1), 278-286, 2007 View Details	2007	317	90.4%
An evaluation of tumor oxygenation and gene expression in patients with early stage non–small cell lung cancers Clinical Cancer Research 12 (5), 1507-1514, 2006 View Details	2006	325	90.3%
Covariance-regularized regression and classification for high dimensional problems Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 View Details	2009	293	90.2%
Molecular assessment of surgical-resection margins of gastric cancer by mass-spectrometric imaging Proceedings of the National Academy of Sciences 111 (7), 2436-2441, 2014 View Details	2014	223	90.2%
Principal Curves Revisited. View Details	1992	309	90.1%
Describing health states: methodologic issues in obtaining values for health states Medical care, 543-552, 1984 View Details	1984	257	90.0%
Estimating transformations for regression via additivity and variance stabilization Journal of the American Statistical Association 83 (402), 394-405, 1988 View Details	1988	295	90.0%
Expression of a single gene, BCL-6, strongly predicts survival in patients with diffuse large B-cell lymphoma Blood, The Journal of the American Society of Hematology 98 (4), 945-951, 2001 View Details	2001	370	90.0%
Significant sparse polygenic risk scores across 813 traits in UK Biobank PLoS Genetics 18 (3), e1010105, 2022 View Details	2022	48	89.9%
Forward stagewise regression and the monotone lasso View Details	2007	302	89.8%
Prediction and outlier detection in classification problems Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 View Details	2022	44	88.9%
Characterization of variant patterns of nodular lymphocyte predominant Hodgkin lymphoma with immunohistologic and clinical correlation The American journal of surgical pathology 27 (10), 1346-1356, 2003 View Details	2003	330	88.7%
An introduction to statistical learning View Details	2009	257	88.6%
A method for calling gains and losses in array CGH data Biostatistics 6 (1), 45-58, 2005 View Details	2005	293	88.6%
Gene expression profiling predicts survival in conventional renal cell carcinoma PLoS medicine 3 (1), e13, 2006 View Details	2006	278	88.5%
An introduction to the bootstrap Champman and Hall/CRC, 1993 View Details	1993	254	88.4%
Imputing missing data for gene expression arrays Stanford University Statistics Department Technical report, 1999 View Details	1999	308	88.3%
Sample classification from protein mass spectrometry, by ‘peak probability contrasts’ bioinformatics 20 (17), 3034-3044, 2004 View Details	2004	297	88.3%
In situ vaccination against mycosis fungoides by intratumoral injection of a TLR9 agonist combined with radiation: a phase 1/2 study Blood, The Journal of the American Society of Hematology 119 (2), 355-363, 2012 View Details	2012	218	88.3%
The monotone smoothing of scatterplots Technometrics 26 (3), 243-250, 1984 View Details	1984	218	88.2%
Genome-wide measurement of RNA folding energies Molecular cell 48 (2), 169-181, 2012 View Details	2012	216	88.2%
Origins and clonal convergence of gastrointestinal IgE+ B cells in human peanut allergy Science immunology 5 (45), eaay4209, 2020 View Details	2020	94	88.0%
Array-based comparative genomic hybridization identifies localized DNA amplifications and homozygous deletions in pancreatic cancer Neoplasia 7 (6), 556-IN16, 2005 View Details	2005	278	87.9%
Statistical methods for identifying differentially expressed genes in DNA microarrays Functional Genomics: Methods and Protocols, 149-157, 2003 View Details	2003	307	87.9%
Preventing 3 million premature deaths and helping 5 million smokers quit: a national action plan for tobacco cessation American journal of public health 94 (2), 205-210, 2004 View Details	2004	283	87.6%
Sequential selection procedures and false discovery rate control Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016 View Details	2016	156	87.6%
A network model of a cooperative genetic landscape in brain tumors Jama 302 (3), 261-275, 2009 View Details	2009	236	87.5%
Earth: multivariate adaptive regression spline models R package version 3 (7), 2014 View Details	2014	179	87.5%
A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank PLoS genetics 16 (10), e1009141, 2020 View Details	2020	88	87.1%
Supervised harvesting of expression trees Genome Biology 2 (1), 1-12, 2001 View Details	2001	284	86.9%
Prediction of survival in diffuse large B-cell lymphoma based on the expression of 2 genes reflecting tumor and microenvironment Blood, The Journal of the American Society of Hematology 118 (5), 1350-1358, 2011 View Details	2011	206	86.7%
Expression profiling—best practices for data generation and interpretation in clinical trials Nature Reviews Genetics 5 (3), 229-237, 2004 View Details	2004	264	86.7%
Bias, variance and prediction error for classification rules University of Toronto, Department of Statistics, 1996 View Details	1996	243	86.5%
Risk factors of delayed extubation, prolonged length of stay in the intensive care unit, and mortality in patients undergoing coronary artery bypass graft with fast-track cardiac anesthesia: a new cardiac risk score The Journal of the American Society of Anesthesiologists 91 (4), 936-936, 1999 View Details	1999	266	86.5%
Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumours and matched controls BMC biology 8, 1-14, 2010 View Details	2010	219	86.5%
Complications of use of the Ilizarov technique in the correction of limb deformities in children. JBJS 75 (8), 1148-1156, 1993 View Details	1993	216	86.4%
impute: impute: Imputation for microarray data R package version 1 (0), 2020 View Details	2020	83	86.3%
Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods. Journal of Machine Learning Research 10 (4), 2009 View Details	2009	214	86.3%
Moving beyond linearity An Introduction to Statistical Learning: with Applications in Python, 289-329, 2023 View Details	2023	21	86.1%
JR Statistical Soc Ser. B 58, 267, 1996 View Details	1996	233	86.0%
Uniform asymptotic inference and the bootstrap after model selection View Details	2018	117	85.8%
Building multivariable regression models with continuous covariates in clinical epidemiology: with an emphasis on fractional polynomials Methods of information in medicine 44 (04), 561-571, 2005 View Details	2005	237	85.8%
Cross-validation and the bootstrap: Estimating the error rate of a prediction rule Division of Biostatistics, Stanford University 92, 548-560, 1995 View Details	1995	216	85.8%
Transcriptional programs activated by exposure of human prostate cancer cells to androgen Genome biology 3 (7), 1-12, 2002 View Details	2002	257	85.7%
Comment on" Detecting Novel Associations In Large Data Sets" by Reshef Et Al, Science Dec 16, 2011 arXiv preprint arXiv:1401.7645, 2014 View Details	2014	158	85.6%
Using specially designed exponential families for density estimation The Annals of Statistics 24 (6), 2431-2461, 1996 View Details	1996	226	85.6%
Survival analysis with high-dimensional covariates Statistical methods in medical research 19 (1), 29-51, 2010 View Details	2010	207	85.6%
Are clusters found in one dataset present in another dataset? Biostatistics 8 (1), 9-31, 2007 View Details	2007	219	85.6%
Metabolic markers and statistical prediction of serous ovarian cancer aggressiveness by ambient ionization mass spectrometry imaging Cancer research 77 (11), 2903-2913, 2017 View Details	2017	126	85.6%
Regression shrinkage and selection via the lasso: a retrospective View Details	2011	191	85.5%
Lassonet: Neural networks with feature sparsity International conference on artificial intelligence and statistics, 10-18, 2021 View Details	2021	56	85.4%
Outlier sums for differential gene expression analysis Biostatistics 8 (1), 2-8, 2007 View Details	2007	216	85.4%
Combined microarray analysis of small cell lung cancer reveals altered apoptotic balance and distinct expression signatures of MYC family gene amplification Oncogene 25 (1), 130-138, 2006 View Details	2006	220	85.3%
LMO2 protein expression predicts survival in patients with diffuse large B-cell lymphoma treated with anthracycline-based chemotherapy with and without rituximab Journal of Clinical Oncology 26 (3), 447-454, 2008 View Details	2008	205	85.1%
Standardization and the group lasso penalty Statistica Sinica 22 (3), 983, 2012 View Details	2012	174	85.1%
Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse Nature medicine 24 (4), 474-483, 2018 View Details	2018	110	84.9%
Bootstrap confidence intervals and bootstrap approximations Journal of the American Statistical Association 82 (397), 163-170, 1987 View Details	1987	177	84.7%
Results from the second year of a collaborative effort to forecast influenza seasons in the United States Epidemics 24, 26-33, 2018 View Details	2018	108	84.6%
Averaged gene expressions for regression Biostatistics 8 (2), 212-227, 2007 View Details	2007	205	84.5%
Hierarchical clustering with prototypes via minimax linkage Journal of the American Statistical Association 106 (495), 1075-1084, 2011 View Details	2011	179	84.5%
Support vector machines An introduction to statistical learning: with applications in R, 367-402, 2021 View Details	2021	52	84.2%
Successful immunotherapy induces previously unidentified allergen-specific CD4+ T-cell subsets Proceedings of the National Academy of Sciences 113 (9), E1286-E1295, 2016 View Details	2016	125	84.2%
Physicians' warnings for unfit drivers and the risk of trauma from road crashes New England Journal of Medicine 367 (13), 1228-1236, 2012 View Details	2012	162	83.9%
impute: Imputation for microarray data Bioinformatics 17 (6), 520-525, 2001 View Details	2001	229	83.9%
The inference of antigen selection on Ig genes The Journal of Immunology 165 (9), 5122-5126, 2000 View Details	2000	235	83.9%
Bayesian backfitting (with comments and a rejoinder by the authors Statistical Science 15 (3), 196-223, 2000 View Details	2000	234	83.8%
A multicentre study of primary breast diffuse large B‐cell lymphoma in the rituximab era British journal of haematology 165 (3), 358-363, 2014 View Details	2014	141	83.8%
Quantitative SD-OCT imaging biomarkers as indicators of age-related macular degeneration progression Investigative ophthalmology & visual science 55 (11), 7093-7103, 2014 View Details	2014	140	83.7%
MicroRNAs are independent predictors of outcome in diffuse large B-cell lymphoma patients treated with R-CHOP Clinical Cancer Research 17 (12), 4125-4135, 2011 View Details	2011	169	83.6%
Adaptive principal surfaces Journal of the American Statistical Association 89 (425), 53-64, 1994 View Details	1994	188	83.6%
Special invited paper. additive logistic regression: A statistical view of boosting Annals of statistics, 337-374, 2000 View Details	2000	230	83.6%
Recent results of elective open cholecystectomy in a North American and a European center. Comparison of complications and risk factors. Annals of surgery 216 (6), 618, 1992 View Details	1992	178	83.6%
Alteration of the lipid profile in lymphomas induced by MYC overexpression Proceedings of the National Academy of Sciences 111 (29), 10450-10455, 2014 View Details	2014	139	83.6%
Selecting the number of principal components: Estimation of the true rank of a noisy matrix The Annals of Statistics, 2590-2617, 2017 View Details	2017	111	83.5%
Hybrid hierarchical clustering with applications to microarray data Biostatistics 7 (2), 286-301, 2006 View Details	2006	195	83.5%
Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data The Annals of Applied Statistics 2 (2), 489, 2008 View Details	2008	185	83.4%
Pam: prediction analysis for microarrays R package version 1, 1, 2019 View Details	2019	81	83.2%
SAM thresholding and false discovery rates for detecting differential gene expression in DNA microarrays The analysis of gene expression data: methods and software, 272-290, 2003 View Details	2003	218	83.2%
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Theory and Methods-Comment-Bayesian CART Model Search Journal of the American Statistical Association 93 (443), 950-953, 1998 View Details	1998	1	0.0%
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LINEAR SMOOTHERS AND ADDITIVE-MODELS-REJOINDER ANNALS OF STATISTICS 17 (2), 543-555, 1989 View Details	1989	1	0.0%
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An overview of nonparametric and parametric inference An Introduction to the Bootstrap, 296-320, 1993 View Details	1993	1	0.0%
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Sensitivity analysis for inference with partially identifiable covariance matrices Computational Statistics 29, 529-546, 2014 View Details	2014	1	0.0%
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Molecular analysis of immunoglobulin genes in diffuse large B cell lymphomas: Evidence for unbiased VH gene use and absence of ongoing somatic mutations. Blood 94 (10), 597A-597A, 1999 View Details	1999	1	0.0%
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Response to Mease and Wyner, evidence contrary to the statistical view of boosting, JMLR 9: 1–26, 2008 Journal of Machine Learning Research 9, 59-64, 2008 View Details	2008	1	0.0%
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