Publications in collaboration with researchers from Fox Chase Cancer Center (28)

2019

  1. The effects of time valuation in cancer optimal therapies: A study of chronic myeloid leukemia

    Theoretical Biology and Medical Modelling, Vol. 16, Núm. 1

2012

  1. Common variants at the 19p13.1 and ZNF365 loci are associated with ER subtypes of breast cancer and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers

    Cancer Epidemiology Biomarkers and Prevention, Vol. 21, Núm. 4, pp. 645-657

  2. Descriptive Biostatistics

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 17-32

  3. Equations: Formulating Biomedical Laws and Biomedical Magnitudes

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 129-199

  4. Game Theory

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 341-386

  5. Historical Introduction

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 1-24

  6. Inferential Biostatistics (I): Estimating Values of Biomedical Magnitudes

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 33-57

  7. Inferential Biostatistics (II): Estimating Biomedical Behaviors

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 59-127

  8. Optimal Control Theory: From Knowledge to Control (I). Basic Concepts

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 277-307

  9. Optimal Control Theory: From Knowledge to Control (II). Biomedical Applications

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 309-339

  10. Ovarian cancer susceptibility alleles and risk of ovarian cancer in BRCA1 and BRCA2 mutation carriers

    Human Mutation, Vol. 33, Núm. 4, pp. 690-702

  11. Systems of Equations: The Explanation of Biomedical Phenomena (I). Basic Questions

    EVOLUTION OF THE USE OF MATHEMATICS IN CANCER RESEARCH (SPRINGER), pp. 201-240