Shigeyuki Matsui

Summary

Affiliation: Institute of Statistical Mathematics
Country: Japan

Publications

  1. pmc Study protocol of the SACURA trial: a randomized phase III trial of efficacy and safety of UFT as adjuvant chemotherapy for stage II colon cancer
    Megumi Ishiguro
    Department of Surgical Oncology, Tokyo Medical and Dental University, Graduate School, 1 5 45 Yushima, Tokyo 113 8519, Japan
    BMC Cancer 12:281. 2012
  2. pmc Genomic biomarkers for personalized medicine: development and validation in clinical studies
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, 10 3 Midori cho, Tachikawa, Tokyo 190 8562, Japan
    Comput Math Methods Med 2013:865980. 2013
  3. pmc Developing and validating continuous genomic signatures in randomized clinical trials for predictive medicine
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan
    Clin Cancer Res 18:6065-73. 2012
  4. doi request reprint Sample sizes for a robust ranking and selection of genes in microarray experiments
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan
    Stat Med 28:2801-16. 2009
  5. doi request reprint Estimation and selection in high-dimensional genomic studies for developing molecular diagnostics
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan
    Biostatistics 12:223-33. 2011
  6. doi request reprint Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, 10 3 Midori cho, Tachikawa, Tokyo 190 8562, Japan
    Biometrics 67:1225-35. 2011
  7. pmc Cancer outlier analysis based on mixture modeling of gene expression data
    Keita Mori
    Department of Statistical Science, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies, 10 3 Midori cho, Tachikawa, Tokyo 190 8562, Japan
    Comput Math Methods Med 2013:693901. 2013

Collaborators

  • Hisashi Noma
  • Tomonori Oura
  • John D Shaughnessy
  • Keita Mori
  • Megumi Ishiguro
  • Toshiaki Ishikawa
  • Satoshi Teramukai
  • Hiroyuki Uetake
  • Masahiko Watanabe
  • Kenichi Sugihara
  • Keiichi Takahashi
  • Naohiro Tomita
  • Yasuhiro Shimada
  • Hidetaka Mochizuki
  • Kenjiro Kotake
  • Yukihide Kanemitsu
  • Hideki Ueno

Detail Information

Publications7

  1. pmc Study protocol of the SACURA trial: a randomized phase III trial of efficacy and safety of UFT as adjuvant chemotherapy for stage II colon cancer
    Megumi Ishiguro
    Department of Surgical Oncology, Tokyo Medical and Dental University, Graduate School, 1 5 45 Yushima, Tokyo 113 8519, Japan
    BMC Cancer 12:281. 2012
    ..The major Western guidelines recommend adjuvant chemotherapy for "high-risk stage II" cancer, but this is not clearly defined and the efficacy has not been confirmed...
  2. pmc Genomic biomarkers for personalized medicine: development and validation in clinical studies
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, 10 3 Midori cho, Tachikawa, Tokyo 190 8562, Japan
    Comput Math Methods Med 2013:865980. 2013
    ..A wide variety of biomarker-based clinical trial designs to assess clinical utility of a biomarker or a new treatment with a companion biomarker are also discussed...
  3. pmc Developing and validating continuous genomic signatures in randomized clinical trials for predictive medicine
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan
    Clin Cancer Res 18:6065-73. 2012
    ..Development and validation of genomic signatures in the randomized trial can be a promising solution. Such signatures are required to predict quantitatively the underlying heterogeneity in the magnitude of treatment effects...
  4. doi request reprint Sample sizes for a robust ranking and selection of genes in microarray experiments
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan
    Stat Med 28:2801-16. 2009
    ..Application to the data set from a clinical study for lymphoma is given...
  5. doi request reprint Estimation and selection in high-dimensional genomic studies for developing molecular diagnostics
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan
    Biostatistics 12:223-33. 2011
    ..We can assess the predictive capability for any gene sets, possibly those selected via incorporation of biological considerations. Applications to 2 gene expression data sets from cancer clinical studies with microarrays are provided...
  6. doi request reprint Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments
    Shigeyuki Matsui
    Department of Data Science, The Institute of Statistical Mathematics, 10 3 Midori cho, Tachikawa, Tokyo 190 8562, Japan
    Biometrics 67:1225-35. 2011
    ..Applications to two real datasets from cancer clinical studies are provided...
  7. pmc Cancer outlier analysis based on mixture modeling of gene expression data
    Keita Mori
    Department of Statistical Science, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies, 10 3 Midori cho, Tachikawa, Tokyo 190 8562, Japan
    Comput Math Methods Med 2013:693901. 2013
    ..Some efficiency improvement by using our method was demonstrated, even under settings with misspecified, heavy-tailed t-distributions. An application to a real dataset from hematologic malignancies is provided...