Search Results - "LeBlanc, Michael L."

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    Cure Models as a Useful Statistical Tool for Analyzing Survival by OTHUS, Megan, BARLOGIE, Bart, LEBLANC, Michael L, CROWLEY, John J

    Published in Clinical cancer research (15-07-2012)
    “…Cure models are a popular topic within statistical literature but are not as widely known in the clinical literature. Many patients with cancer can be…”
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    Journal Article
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    Continued Risk of Relapse Independent of Treatment Modality in Limited-Stage Diffuse Large B-Cell Lymphoma: Final and Long-Term Analysis of Southwest Oncology Group Study S8736 by Stephens, Deborah M, Li, Hongli, LeBlanc, Michael L, Puvvada, Soham D, Persky, Daniel, Friedberg, Jonathan W, Smith, Sonali M

    Published in Journal of clinical oncology (01-09-2016)
    “…Utility of combined-modality therapy for patients with limited-stage diffuse large B-cell lymphoma (DLBCL) was shown in the Southwest Oncology Group (SWOG)…”
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    Journal Article
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    A strategy for full interrogation of prognostic gene expression patterns: exploring the biology of diffuse large B cell lymphoma by Rimsza, Lisa M, Unger, Joseph M, Tome, Margaret E, Leblanc, Michael L

    Published in PloS one (04-08-2011)
    “…Gene expression profiling yields quantitative data on gene expression used to create prognostic models that accurately predict patient outcome in diffuse large…”
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    Estimating individualized treatment rules by optimizing the adjusted probability of a longer survival by He, Qijia, Zhang, Shixiao, LeBlanc, Michael L, Zhao, Ying-Qi

    Published in Statistical methods in medical research (01-09-2024)
    “…Individualized treatment rules inform tailored treatment decisions based on the patient’s information, where the goal is to optimize clinical benefit for the…”
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    Exploring interactions in high-dimensional genomic data: an overview of Logic Regression, with applications by Ruczinski, Ingo, Kooperberg, Charles, L. LeBlanc, Michael

    Published in Journal of multivariate analysis (01-07-2004)
    “…Logic Regression is an adaptive regression methodology mainly developed to explore high-order interactions in genomic data. Logic Regression is intended for…”
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    Long-Term Effects of Finasteride on Prostate Cancer Mortality by Goodman, Phyllis J, Tangen, Catherine M, Darke, Amy K, Lucia, M. Scott, Ford, Leslie G, Minasian, Lori M, Parnes, Howard L, LeBlanc, Michael L, Thompson, Ian M

    Published in The New England journal of medicine (24-01-2019)
    “…The initial report on finasteride for prevention of prostate cancer documented a reduction in prostate cancers but a paradoxical increase in high-grade tumors…”
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    Designing precision medicine trials to yield a greater population impact by Zhao, Ying‐Qi, LeBlanc, Michael L.

    Published in Biometrics (01-06-2020)
    “…Traditionally, a clinical trial is conducted comparing treatment to standard care for all patients. However, it could be inefficient given patients’…”
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    Restricted survival benefit with right‐censored data by Zhang, Shixiao, LeBlanc, Michael L., Zhao, Ying‐Qi

    Published in Biometrical journal (01-04-2022)
    “…The hazard ratio is widely used to quantify treatment effects. However, it may be difficult to interpret for patients and practitioners, especially when the…”
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    Quantifying treatment effects using the personalized chance of longer survival by Zhao, Ying‐Qi, Redman, Mary W., LeBlanc, Michael L.

    Published in Statistics in medicine (10-12-2019)
    “…The hazard ratio is widely used to measure or to summarize the magnitude of treatment effects, but it is justifiably difficult to interpret in a meaningful way…”
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    Robustifying Trial-Derived Optimal Treatment Rules for A Target Population by Zhao, Ying-Qi, Zeng, Donglin, Tangen, Catherine M, LeBlanc, Michael L

    Published in Electronic journal of statistics (2019)
    “…Treatment rules based on individual patient characteristics that are easy to interpret and disseminate are important in clinical practice. Properly planned and…”
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    Journal Article
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