Titlebook: New Frontiers of Biostatistics and Bioinformatics; Yichuan Zhao,Ding-Geng Chen Book 2018 Springer Nature Switzerland AG 2018 Biostatistica

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書目名稱New Frontiers of Biostatistics and Bioinformatics影響因子(影響力)




書目名稱New Frontiers of Biostatistics and Bioinformatics影響因子(影響力)學(xué)科排名




書目名稱New Frontiers of Biostatistics and Bioinformatics網(wǎng)絡(luò)公開度




書目名稱New Frontiers of Biostatistics and Bioinformatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱New Frontiers of Biostatistics and Bioinformatics被引頻次




書目名稱New Frontiers of Biostatistics and Bioinformatics被引頻次學(xué)科排名




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書目名稱New Frontiers of Biostatistics and Bioinformatics讀者反饋




書目名稱New Frontiers of Biostatistics and Bioinformatics讀者反饋學(xué)科排名

模仿

Optimal Weighted Wilcoxon–Mann–Whitney Test for Prioritized Outcomestatistic that maximize its power. We provide the rationale for the weights and their implications in the application of the method. In addition, we derive a formula for its power and demonstrate its accuracy in simulations. Finally, we apply the method to data from an acute ischemic stroke clinical trial of normobaric oxygen therapy.

overhaul

Statistical Modeling for the Heart Disease Diagnosis via Multiple Imputationce of multiple imputation is widely accepted as a less biased and more valid result. In the chapter, we apply the multiple imputation to a public-accessible heart disease dataset, which has a high missing rate, and build a prediction model for the heart disease diagnosis.

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與野獸博斗者

Rank-Based Empirical Likelihood for Regression Models with Responses Missing at Random distributions with different response probabilities are considered. The simulation results show that the proposed approach has better performance for the regression parameters compared to the normal approximation approach and its least-squares counterpart. Finally, a data example is provided to illustrate our method.

crucial

Wavelet-Based Profile Monitoring Using Order-Thresholding Recursive CUSUM Schemes of multiple wavelet coefficients. Extensive simulation studies and a case study of tonnage profile data demonstrate that our proposed procedure is efficient for detecting the unknown local changes on the profile.

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Mammogram Diagnostics Using Robust Wavelet-Based Estimator of Hurst Exponentally and numerically. Compared with other standard wavelet-based methods (Veitch and Abry (VA) method, Soltani, Simard, and Boichu (SSB) method, median based estimators MEDL and MEDLA, and Theil-type (TT) weighted regression method), our methods reduce the variance of the estimators and increase the