Researcher profile · Semantic Scholar

M. LeBlanc

h-index: 27
Works: 84
Citations: 3,809

Most-cited papers

Relative risk trees for censored survival data.
M. LeBlanc, J. Crowley
1992Biometrics451 citations
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Survival Trees by Goodness of Split
M. LeBlanc, J. Crowley
1993389 citations
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Combining Estimates in Regression and Classification
M. LeBlanc, R. Tibshirani
1996372 citations
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Logic Regression
I. Ruczinski, C. Kooperberg, M. LeBlanc
2003304 citations
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Increasing the power of identifying gene × gene interactions in genome‐wide association studies
C. Kooperberg, M. LeBlanc
2008Genetic Epidemiology215 citations Open access
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Cure Models as a Useful Statistical Tool for Analyzing Survival
M. Othus, B. Barlogie, M. LeBlanc, J. Crowley
2012Clinical Cancer Research203 citations Open access
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Sequence Analysis Using Logic Regression
C. Kooperberg, I. Ruczinski, M. LeBlanc, L. Hsu
2001Genetic Epidemiology141 citations
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Risk Prediction using Genome-Wide Association Studies
C. Kooperberg, M. LeBlanc, Valerie Obenchain
2010Genetic Epidemiology140 citations Open access
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Randomized Phase II Designs
L. Rubinstein, J. Crowley, P. Ivy, M. LeBlanc +1 more
2009Clinical Cancer Research133 citations Open access
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Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction.
James Y. Dai, C. Kooperberg, M. LeBlanc, R. Prentice
2012Biometrika107 citations Open access
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Exploring interactions in high-dimensional genomic data: an overview of logic regression, with applications
I. Ruczinski, Charles Kooperbreg, M. LeBlanc
200493 citations Open access
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A multiple-testing procedure for high-dimensional mediation hypotheses
James Y. Dai, J. Stanford, M. LeBlanc
2020Journal of the American Statistical Association91 citations Open access
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Regression Trees
M. LeBlanc
2011Data Analysis for Business, Economics, and Policy89 citations
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Randomized Phase III ClinicalTrial Designs forTargeted Agents
A. Hoering, M. LeBlanc, J. Crowley
2008Clinical Cancer Research89 citations Open access
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Binary partitioning for continuous longitudinal data: categorizing a prognostic variable
M. Abdolell, M. LeBlanc, D. Stephens, R. Harrison
2002Statistics in Medicine73 citations
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Design of Phase I Combination Trials: Recommendations of the Clinical Trial Design Task Force of the NCI Investigational Drug Steering Committee
C. Paller, P. Bradbury, S. P. Ivy, L. Seymour +12 more
2014Clinical Cancer Research64 citations Open access
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Adaptive Regression Splines in the Cox Model
M. LeBlanc, John Crowley
1999Biometrics49 citations
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Imputation Methods to Improve Inference in Snp Association Studies
James Y. Dai, M. LeBlanc, C. Kooperberg
49 citations
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Seamless Phase I–II Trial Design for Assessing Toxicity and Efficacy for Targeted Agents
A. Hoering, M. LeBlanc, J. Crowley
2010Clinical Cancer Research47 citations Open access
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Interim futility analysis with intermediate endpoints
B. Goldman, M. LeBlanc, J. Crowley
2008Clinical Trials44 citations
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A review of tree-based prognostic models.
M. LeBlanc, J. Crowley
1995Cancer treatment and research44 citations
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Evaluating test statistics to select interesting genes in microarray experiments.
C. Kooperberg, S. Sipione, M. LeBlanc, Andrew D. Strand +2 more
2002Human Molecular Genetics34 citations Open access
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Multiple Histology Phase II Trials
M. LeBlanc, C. Rankin, J. Crowley
2009Clinical Cancer Research31 citations Open access
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Structures and Assumptions: Strategies to Harness Gene × Gene and Gene × Environment Interactions in GWAS
C. Kooperberg, M. LeBlanc, James Y. Dai, I. Rajapakse
2009Statistical Science30 citations Open access
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Partitioning and peeling for constructing prognostic groups
M. LeBlanc, Joth L. Jacobson, J. Crowley
2002Statistical Methods in Medical Research30 citations
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Trees for Correlated Survival Data by Goodness of Split, With Applications to Tooth Prognosis
Juanjuan Fan, Xiaogang Su, R. Levine, M. Nunn +1 more
200629 citations
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Some Exploratory Tools for Survival Analysis
J. Crowley, M. LeBlanc, Joth L. Jacobson, S. Salmon
199729 citations
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Logic Regression — Methods and Software
I. Ruczinski, C. Kooperberg, M. LeBlanc
200327 citations
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Semiparametric Regression Functionals
M. LeBlanc, J. Crowley
199527 citations
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Monotone Shrinkage of Trees
M. LeBlanc, R. Tibshirani
199826 citations
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Modeling the relationship between progression-free survival and overall survival: The phase 2/3 trial
M. Redman, B. Goldman, M. LeBlanc, A. Schott +1 more
2013Clinical Cancer Research22 citations Open access
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CARTscans: A Tool for Visualizing Complex Models
M. Nason, S. Emerson, M. LeBlanc
200422 citations Open access
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Early phase trial design for assessing several dose levels for toxicity and efficacy for targeted agents
A. Hoering, A. Mitchell, M. LeBlanc, J. Crowley
2013Clinical Trials21 citations Open access
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Semiparametric Estimation Exploiting Covariate Independence in Two‐Phase Randomized Trials
James Y. Dai, M. LeBlanc, C. Kooperberg
2009Biometrics21 citations Open access
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Boosting predictions of treatment success
M. LeBlanc, C. Kooperberg
2010Proceedings of the National Academy of Sciences of the United States of America20 citations Open access
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Step‐function covariate effects in the proportional‐hazards model
M. LeBlanc, J. Crowley
199520 citations
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More randomization in phase II trials: necessary but not sufficient.
L. Rubinstein, M. LeBlanc, Malcolm A. Smith
2011Journal of the National Cancer Institute19 citations Open access
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Understanding neural networks using regression trees: an application to multiple myeloma survival data
D. Faraggi, M. LeBlanc, J. Crowley
2001Statistics in Medicine19 citations
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Robustifying Trial-Derived Optimal Treatment Rules for A Target Population
Ying‐Qi Zhao, D. Zeng, C. Tangen, M. LeBlanc
2019Electronic Journal of Statistics18 citations Open access
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Adaptive Risk Group Refinement
M. LeBlanc, James Moon, J. Crowley
2005Biometrics18 citations
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Phase II Selection Designs
James Moon, M. LeBlanc, Po-Ching Liu
200518 citations
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Exploratory methods in survival analysis
J. Crowley, M. LeBlanc, R. Gentleman, S. Salmon
199515 citations
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SHARE: an adaptive algorithm to select the most informative set of SNPs for candidate genetic association
James Y. Dai, M. LeBlanc, N. Smith, B. Psaty +1 more
2009Biostatistics12 citations Open access
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Case-only approach to identifying markers predicting treatment effects on the relative risk scale
James Y. Dai, Jason Liang, M. LeBlanc, Ross L. Prentice +1 more
2017Biometrics11 citations Open access
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Historical Controls for Metastatic Pancreatic Cancer: Benchmarks for Planning and Analyzing Single Arm Phase II Trials
P. Philip, K. Chansky, M. LeBlanc, L. Rubinstein +5 more
2014Clinical Cancer Research11 citations Open access
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Directed indices for exploring gene expression data
M. LeBlanc, C. Kooperberg, T. Grogan, T. Miller
2003Bioinform.10 citations Open access
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Designing precision medicine trials to yield greater population impact
Ying‐Qi Zhao, M. LeBlanc
2019Biometrics7 citations Open access
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Case-only trees and random forests for exploring genotype-specific treatment effects in randomized clinical trials with dichotomous endpoints
James Y. Dai, M. LeBlanc
2019Journal of the Royal Statistical Society, Series C: Applied Statistics7 citations Open access
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Surrogates for Survival or Other End Points in Oncology.
M. LeBlanc, C. Tangen
2016JAMA Oncology7 citations
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Use of Covariates in Randomization and Analysis of Clinical Trials
G. Anderson, M. LeBlanc, Po-Ching Liu, J. Crowley
20127 citations
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L. Rubinstein

×4

A. Hoering×3

R. Tibshirani×2

D. Sargent×2

S. P. Ivy×2

L. Seymour×2

B. Goldman×2

Joth L. Jacobson×2