Jianchang Lin,
Bushi Wang,
Xiaowen Hu,
Kun Chen,
Ray Liu
e.a.
Springer International Publishing
e druk, 2018
9783319826103
Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics
Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
Specificaties
Paperback, blz.
|
Engels
Springer International Publishing |
2018
ISBN13: 9783319826103
Rubricering
Onderdeel van serie
ICSA Book Series in Statistics
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort Collins. The contributions cover topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. Each papers was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe.
Specificaties
ISBN13:9783319826103
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Inhoudsopgave
<p>[cutting to roughly 30 papers]</p><p>1. Generalized Confidence Interval Approach for A Statistical Decision Framework Applicable to Multipopulation Tailoring Trials</p>
<p>2. Multi-Regional Clinical Trials – Where we have been and where we are going</p>
<p>3. Composite endpoints: Some common misconceptions</p>
<p>4. DIA Adaptive Design Scientific Working Group Best Practices Team: Objectives and Case Studies</p>
<p>5. Methods for Flexible Sample-Size Design in Clinical Trials</p>
<p>6. Statistical Challenges in Testing Multiple Endpoints in Complex Trial Designs</p>
<p>7. Generalized Holm’s procedure for multiple testing problem</p>
<p>8. Assessing Benefit and Consistency of Treatment Effect under a Discrete Random Effects Model in Multiregional Clinical Trials</p>
9. Multiplicity Adjustment in Vaccine Efficacy Trial with Adaptive Population-Enrichment Design</p>
<p>10. Identification of Biomarker Signatures Using Adaptive Elastic Net</p>
<p>11. Design and Analysis of Multiregional Clinical Trials in Evaluation of Medical Devices: A Two-component Bayesian Approach for Targeted Regulatory Decision Making</p>
<p>12. Evaluation of strategies for designing Phase 2 dose finding studies</p>
<p>13. Bayesian Hierarchical Monotone Regression I-splines for Dose-Response Assessment and Drug-Drug Interaction Analysis</p>
<p>14. Continuous Safety Signal Monitoring with Blinded Data</p>
<p>15. Bayesian integration of in vitro biomarker data to in vivo safety assessment</p>
<p>16. Bayesian Path Specific Frailty Models for Multi-state Survival Data with Applications</p>
<p>17. Sample Size Allocation in a Dose-Ranging Trial Combined with PoC <p>18. A Bayesian Approach For Subgroup Analysis</p>
<p>19. Design Considerations in Dose Finding Studies</p>
<p>20. Identifying Predictive Biomarkers in A Dose-Response Study</p>
<p>21. A nationwide cohort study of Influenza vaccine on stroke prevention in the chronic kidney disease population</p>
<p>22. Multivariate Spatial Modeling on Spheres</p>
<p>23. Statistical Method for Change-set Analysis</p>
<p>24. Statistical Issues in Health Related Quality of Life research</p>
<p>25. Analysis of clustered longitudinal/functional data</p>
<p>26. Variable Selection Methods for Functional Regression Models</p>
<p>27. Promoting Similarity of Sparsity Structures in Integrative Analysis</p>
<p>28. Optimal Estimation for The Functional Cox Model</p>
29. Bayesian Spatial Clustering Method and Its Application In Radiology</p>
<p>30. Bayesian Nonlinear Model Selection for Gene Regulatory Networks</p>
<p>31. Innovated Interaction Screening for High-Dimensional Nonlinear Classification</p>
<p>32. Spatial Bayesian Hierarchical Model for small area estimation of categorical data</p>
<p>33. Evaluate the Most Accurate Animal Model With Application to Pediatric Medulloblastoma</p>
<p>34. Analysis Optimization for Biomarker and Subgroup Identification</p>
<p>35. Statistical Methods for Analytical Comparability< <p>36. Design and Statistical Analysis of Multidrug Combinations in Preclinical Studies and Clinical Trials</p>
<p>37. Composite Kernel Machine Regression Based on Likelihood Ratio Test and its Application on Genomic Studies</p>
38. Statistical Applications for Biosimilar Product Development</p>
<p>39. Correcting Ascertainment Bias in Biomarker Identification</p>
<p>40. Subgroup-Based Adaptive (SUBA) Designs for Multi-Arm Biomarker Trials</p>
<p>41. ROC-based meta analysis with individual level information</p>
<p>42. Optimal Marker-Adaptive Designs for Targeted Therapy Based on Imperfectly Measured Biomarkers</p>
<p>43. Statistical considerations for evaluating prognostic imaging biomarkers</p>
<p>44. Stacking survival models.- Estimation of Discrete Survival Function through the Modeling of Diagnostic Accuracy for Mismeasured Outcome Data</p>
<p>45. A Bivariate Copula Random-Effects Model for Length of Stay and Cost</p>
<p>46. Non-inferiority tests for prognostic models</p>
<p>47. Explained Variation in Correlated Survival Data</p>
48. Web-based Analytics for Business Decision Making</p>
<p>49. Economic Movement and Mental Health: A Population-based Study</p>
<p>50. Hypothesis Test of Mediation Effect in Causal Mediation Model with High-dimensional Mediators</p>
<p>2. Multi-Regional Clinical Trials – Where we have been and where we are going</p>
<p>3. Composite endpoints: Some common misconceptions</p>
<p>4. DIA Adaptive Design Scientific Working Group Best Practices Team: Objectives and Case Studies</p>
<p>5. Methods for Flexible Sample-Size Design in Clinical Trials</p>
<p>6. Statistical Challenges in Testing Multiple Endpoints in Complex Trial Designs</p>
<p>7. Generalized Holm’s procedure for multiple testing problem</p>
<p>8. Assessing Benefit and Consistency of Treatment Effect under a Discrete Random Effects Model in Multiregional Clinical Trials</p>
9. Multiplicity Adjustment in Vaccine Efficacy Trial with Adaptive Population-Enrichment Design</p>
<p>10. Identification of Biomarker Signatures Using Adaptive Elastic Net</p>
<p>11. Design and Analysis of Multiregional Clinical Trials in Evaluation of Medical Devices: A Two-component Bayesian Approach for Targeted Regulatory Decision Making</p>
<p>12. Evaluation of strategies for designing Phase 2 dose finding studies</p>
<p>13. Bayesian Hierarchical Monotone Regression I-splines for Dose-Response Assessment and Drug-Drug Interaction Analysis</p>
<p>14. Continuous Safety Signal Monitoring with Blinded Data</p>
<p>15. Bayesian integration of in vitro biomarker data to in vivo safety assessment</p>
<p>16. Bayesian Path Specific Frailty Models for Multi-state Survival Data with Applications</p>
<p>17. Sample Size Allocation in a Dose-Ranging Trial Combined with PoC <p>18. A Bayesian Approach For Subgroup Analysis</p>
<p>19. Design Considerations in Dose Finding Studies</p>
<p>20. Identifying Predictive Biomarkers in A Dose-Response Study</p>
<p>21. A nationwide cohort study of Influenza vaccine on stroke prevention in the chronic kidney disease population</p>
<p>22. Multivariate Spatial Modeling on Spheres</p>
<p>23. Statistical Method for Change-set Analysis</p>
<p>24. Statistical Issues in Health Related Quality of Life research</p>
<p>25. Analysis of clustered longitudinal/functional data</p>
<p>26. Variable Selection Methods for Functional Regression Models</p>
<p>27. Promoting Similarity of Sparsity Structures in Integrative Analysis</p>
<p>28. Optimal Estimation for The Functional Cox Model</p>
29. Bayesian Spatial Clustering Method and Its Application In Radiology</p>
<p>30. Bayesian Nonlinear Model Selection for Gene Regulatory Networks</p>
<p>31. Innovated Interaction Screening for High-Dimensional Nonlinear Classification</p>
<p>32. Spatial Bayesian Hierarchical Model for small area estimation of categorical data</p>
<p>33. Evaluate the Most Accurate Animal Model With Application to Pediatric Medulloblastoma</p>
<p>34. Analysis Optimization for Biomarker and Subgroup Identification</p>
<p>35. Statistical Methods for Analytical Comparability< <p>36. Design and Statistical Analysis of Multidrug Combinations in Preclinical Studies and Clinical Trials</p>
<p>37. Composite Kernel Machine Regression Based on Likelihood Ratio Test and its Application on Genomic Studies</p>
38. Statistical Applications for Biosimilar Product Development</p>
<p>39. Correcting Ascertainment Bias in Biomarker Identification</p>
<p>40. Subgroup-Based Adaptive (SUBA) Designs for Multi-Arm Biomarker Trials</p>
<p>41. ROC-based meta analysis with individual level information</p>
<p>42. Optimal Marker-Adaptive Designs for Targeted Therapy Based on Imperfectly Measured Biomarkers</p>
<p>43. Statistical considerations for evaluating prognostic imaging biomarkers</p>
<p>44. Stacking survival models.- Estimation of Discrete Survival Function through the Modeling of Diagnostic Accuracy for Mismeasured Outcome Data</p>
<p>45. A Bivariate Copula Random-Effects Model for Length of Stay and Cost</p>
<p>46. Non-inferiority tests for prognostic models</p>
<p>47. Explained Variation in Correlated Survival Data</p>
48. Web-based Analytics for Business Decision Making</p>
<p>49. Economic Movement and Mental Health: A Population-based Study</p>
<p>50. Hypothesis Test of Mediation Effect in Causal Mediation Model with High-dimensional Mediators</p>