New Frontiers of Biostatistics and Bioinformatics
-15%
portes grátis
New Frontiers of Biostatistics and Bioinformatics
Chen, Ding-Geng; Zhao, Yichuan
Springer International Publishing AG
12/2018
463
Dura
Inglês
9783319993881
15 a 20 dias
893
Descrição não disponível.
?Chapter1. Importance of Adjusting for Multi-Stage Design when Analyzing Data from Complex Surveys.- Chapter2. A selective overview of semiparametric mixture of regression models.- Chapter3. Estimating the Confidence Interval of Evolutionary Stochastic Process Mean from Wavelet based Bootstrapping.- Chapter4. A New Wavelet-Based Approach for Mass Spectrometry Data Classification.- Chapter5. Identification of Pathway-Modulating Genes using the Biomedical Literature Mining.- Chapter6. Equivalence tests in subgroup analyses.- Chapter7. Empirical Study on High-Dimensional Variable Selection and Prediction under Competing Risks.- Chapter8. Learning Gene Regulatory Networks with High-Dimensional Heterogeneous Data.- Chapter9. Discriminant Analysis and Normalization Methods for Next-generation Sequencing Data.- Chapter10. Rank-based Empirical Likelihood for Regression Models with Responses Missing at Random.- Chapter11. Nonparametric Estimation of a Hazard Rate Function with Right Truncated Data.- Chapter12. On the landmark survival model for dynamic prediction of event occurrence using longitudinal data.- Chapter13. Analysis of the High School Longitudinal Study to Evaluate Associations Among Mathematics Achievement, Mentorship and Student Participation in STEM Programs.- Chapter14. OptimalWeightedWilcoxon-Mann-Whitney Test for Prioritized Outcomes.- Chapter15. Wavelet-based profile monitoring using order-thresholding recursive CUSUM schemes.- Chapter16. Bayesian Nonparametric Spatially Smoothed Density Estimation.- Chapter17. Nonparametric Estimation of a Cumulative Hazard Function with Right Truncated Data.- Chapter18. Mammogram Diagnostics Using Robust Wavelet-based Estimator of Hurst Exponent.- Chapter19. Statistical Power and Bayesian Assurance in Clinical Trial Design.- Chapter20. Predicting Confidence Interval for the Proportion at the Time of Study Planning in Small Clinical Trials.- Chapter21. Performance evaluation of normalization approaches for metagenomic compositional data on differential abundance analysis.- Chapter22. Statistical Modeling for the Heart Disease Diag-nosis via Multiple Imputation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Biostatistical Procedures;Adaptive Design;High Dimensional Statistical Method;Multivariate Survival Data Analysis;Image Data Analysis;Competing Risk Data Analysis;Mixture Model Analysis;Variable Selection;Density Estimation;Wavelet;Functional Data;Longitudinal Data;Gene Expression Analysis;Complex Data Analysis;Data Mining;Network Analysis;fMRI data analysis
?Chapter1. Importance of Adjusting for Multi-Stage Design when Analyzing Data from Complex Surveys.- Chapter2. A selective overview of semiparametric mixture of regression models.- Chapter3. Estimating the Confidence Interval of Evolutionary Stochastic Process Mean from Wavelet based Bootstrapping.- Chapter4. A New Wavelet-Based Approach for Mass Spectrometry Data Classification.- Chapter5. Identification of Pathway-Modulating Genes using the Biomedical Literature Mining.- Chapter6. Equivalence tests in subgroup analyses.- Chapter7. Empirical Study on High-Dimensional Variable Selection and Prediction under Competing Risks.- Chapter8. Learning Gene Regulatory Networks with High-Dimensional Heterogeneous Data.- Chapter9. Discriminant Analysis and Normalization Methods for Next-generation Sequencing Data.- Chapter10. Rank-based Empirical Likelihood for Regression Models with Responses Missing at Random.- Chapter11. Nonparametric Estimation of a Hazard Rate Function with Right Truncated Data.- Chapter12. On the landmark survival model for dynamic prediction of event occurrence using longitudinal data.- Chapter13. Analysis of the High School Longitudinal Study to Evaluate Associations Among Mathematics Achievement, Mentorship and Student Participation in STEM Programs.- Chapter14. OptimalWeightedWilcoxon-Mann-Whitney Test for Prioritized Outcomes.- Chapter15. Wavelet-based profile monitoring using order-thresholding recursive CUSUM schemes.- Chapter16. Bayesian Nonparametric Spatially Smoothed Density Estimation.- Chapter17. Nonparametric Estimation of a Cumulative Hazard Function with Right Truncated Data.- Chapter18. Mammogram Diagnostics Using Robust Wavelet-based Estimator of Hurst Exponent.- Chapter19. Statistical Power and Bayesian Assurance in Clinical Trial Design.- Chapter20. Predicting Confidence Interval for the Proportion at the Time of Study Planning in Small Clinical Trials.- Chapter21. Performance evaluation of normalization approaches for metagenomic compositional data on differential abundance analysis.- Chapter22. Statistical Modeling for the Heart Disease Diag-nosis via Multiple Imputation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Biostatistical Procedures;Adaptive Design;High Dimensional Statistical Method;Multivariate Survival Data Analysis;Image Data Analysis;Competing Risk Data Analysis;Mixture Model Analysis;Variable Selection;Density Estimation;Wavelet;Functional Data;Longitudinal Data;Gene Expression Analysis;Complex Data Analysis;Data Mining;Network Analysis;fMRI data analysis
