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 An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models
    Hisashi Noma
    Department of Data Science, The Institute of Statistical Mathematics, 10 3 Midori cho, Tachikawa, Tokyo 190 8562, Japan
    Comput Math Methods Med 2013:568480. 2013
  8. 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
  9. doi request reprint Empirical Bayes ranking and selection methods via semiparametric hierarchical mixture models in microarray studies
    Hisashi Noma
    Department of Data Science, The Institute of Statistical Mathematics, 10 3 Midori cho, Tachikawa, Tokyo, 190 8562, Japan
    Stat Med 32:1904-16. 2013

Collaborators

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

Detail Information

Publications9

  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 An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models
    Hisashi Noma
    Department of Data Science, The Institute of Statistical Mathematics, 10 3 Midori cho, Tachikawa, Tokyo 190 8562, Japan
    Comput Math Methods Med 2013:568480. 2013
    ..In addition, we provide a significance rule based on the false discovery rate (FDR) in the empirical Bayes framework. Applications to two clinical studies are presented...
  8. 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...
  9. doi request reprint Empirical Bayes ranking and selection methods via semiparametric hierarchical mixture models in microarray studies
    Hisashi Noma
    Department of Data Science, The Institute of Statistical Mathematics, 10 3 Midori cho, Tachikawa, Tokyo, 190 8562, Japan
    Stat Med 32:1904-16. 2013
    ..We present applications to childhood and infant leukemia clinical studies with microarrays for exploring genes related to prognosis or disease progression...