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Showing 1-20 of 589 results
  1. Biomarker-Guided Trials

    This chapter describes the field of precision or stratified medicine and the role that clinical trials play in the development and validation of...
    L. C. Brown, A. L. Jorgensen, ... J. Wason in Principles and Practice of Clinical Trials
    Living reference work entry 2022
  2. Biomarker-Guided Trials

    This chapter describes the field of precision or stratified medicine and the role that clinical trials play in the development and validation of...
    L. C. Brown, A. L. Jorgensen, ... J. Wason in Principles and Practice of Clinical Trials
    Reference work entry 2022
  3. Statistical Methods for Selective Biomarker Testing

    Biomarkers are critically important tools in modern clinical diagnosis, prognosis, and classification/prediction. However, there are fiscal and...

    A. Adam Ding, Natalie DelRocco, Samuel S. Wu in Statistics in Biosciences
    Article Open access 10 February 2024
  4. A three-stage approach to identify biomarker signatures for cancer genetic data with survival endpoints

    The identification of prognostic and predictive biomarker signatures is crucial for drug development and providing personalized treatment to cancer...

    Xue Wu, Chixiang Chen, ... Ming Wang in Statistical Methods & Applications
    Article Open access 27 March 2024
  5. Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker

    In order to analyze the potential damage to the human body caused by exposure to ionizing radiation, one needs to have an estimation of the dose of...
    Yilun Cai, Jochen Einbeck, ... Elizabeth Ainsbury in Developments in Statistical Modelling
    Conference paper 2024
  6. Optimal Biomarker Cutoff Identification and Validation

    Advances in molecular technology have enabled the new drug development to shift toward targeted therapy where a subgroup of patients is more likely...

    Jianan Hui, Wenchuan Guo in Statistics in Biosciences
    Article 14 March 2022
  7. Using Controlled Feeding Study for Biomarker Development in Regression Calibration for Disease Association Estimation

    Correction for systematic measurement error in self-reported data is an important challenge in association studies of dietary intake and chronic...

    Cheng Zheng, Yiwen Zhang, ... Ross Prentice in Statistics in Biosciences
    Article 12 July 2022
  8. Biomarker-Driven Adaptive Phase III Clinical Trials

    Developments in cancer genomics have dramatically changed oncology drug development. The discovery of important mutations in tumors has led to the...
    Reference work entry 2022
  9. Biomarker-Targeted Confirmatory Trials

    The design of confirmatory phase III trials involving predictive biomarkers has a wide range from enrichment design to all-comers design. The...
    Hui Wang, Ilana Belitskaya-LĂ©vy, Ying Lu in Design and Analysis of Subgroups with Biopharmaceutical Applications
    Chapter 2020
  10. Biomarker-Driven Adaptive Phase III Clinical Trials

    Developments in cancer genomics have dramatically changed oncology drug development. The discovery of important mutations in tumors has led to the...
    Living reference work entry 2021
  11. Biomarker assessment in ROC curve analysis using the length of the curve as an index of diagnostic accuracy: the binormal model framework

    In receiver operating characteristic (ROC) curve analysis, the area under the curve (AUC) is undoubtedly the most widely used index of diagnostic...

    Alba M. Franco-Pereira, Christos T. Nakas, M. Carmen Pardo in AStA Advances in Statistical Analysis
    Article 10 June 2020
  12. Volume under the ROC surface for high-dimensional independent screening with ordinal competing risk outcomes

    We propose a screening method for high-dimensional data with ordinal competing risk outcomes, which is time-dependent and model-free. Existing...

    Yang Qu, Yu Cheng in Lifetime Data Analysis
    Article 09 May 2023
  13. Theory II: Estimation and Support Recovery

    The regression model (1.1) in Sect. 1.1 relates blood levels of a biomarker with characteristics of the subjects’ genomes. Corresponding data allow...
    Chapter 2022
  14. Non-parametric Frailty Model for the Natural History of Prostate Cancer; Using Data from a Screening Trial

    Mixed-effects models for survival, known as frailty models, can be used to capture individual or cluster-specific unobserved heterogeneity. A common...
    Ilse Cuevas Andrade, Ardo van den Hout, Nora Pashayan in Developments in Statistical Modelling
    Conference paper 2024
  15. Evaluating Dynamic Discrimination Performance of Risk Prediction Models for Survival Outcomes

    Risk prediction models for survival outcomes are widely applied in medical research to predict future risk for the occurrence of the event. In many...

    **g Zhang, **g Ning, Ruosha Li in Statistics in Biosciences
    Article 02 February 2023
  16. Biomarker Assay Development, Qualification, and Validation

    Biomarker is defined as a characteristic that is objectively measured and evaluated as an indicator of biological processes. A bioanalytical method...
    Guang Chen, Shuguang Huang, ... Cheng Su in Statistical Methods in Biomarker and Early Clinical Development
    Chapter 2019
  17. Characterize and Dichotomize a Continuous Biomarker

    Dichotomization of continuous biomarkers is both clinically relevant and desirable since clinical decisions are usually based on categorization of...
    Chapter 2019
  18. Adaptive Phase II Trials

    Phase II trials are designed to obtain preliminary efficacy information about a new therapy in order to assess whether the new therapy should be...
    Boris Freidlin, Edward L. Korn in Principles and Practice of Clinical Trials
    Reference work entry 2022
  19. Innovative Designs for Biomarker-Guided Trials

    Biomarkers are indispensable in the understanding of disease biology. It is believed that a validated biomarker with good predictive utility can...
    Chapter 2019
  20. Biomarker Enrichment Design Considerations in Oncology Single Arm Studies

    Oncology drug development has been increasingly shaped by molecularly targeted agents (MTAs), which often demonstrate differential effectiveness...
    Hong Tian, Kevin Liu in Pharmaceutical Statistics
    Conference paper 2019
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