Zoology, Botany

Recent Advances in Biostatistics - False Discovery Rates, Survival Analysis, and Related Topics

Edited by: Manish Bhattacharjee
Edited by: Sunil K. Dhar
Edited by: Sundarraman Subramanian

$90 | ~~Rs.5157~~ (10% discount)
$81.00 | Rs.4641 | HB | 312 Pages
ISBN: 9789814329798

Publisher: World Scientific

Available for: SAARC Countries only

This unique volume provides self-contained accounts of some recent trends in Biostatistics methodology and their applications. It includes state-of-the-art reviews and original contributions.

The articles included in this volume are based on a careful selection of peer-reviewed papers, authored by eminent experts in the field, representing a well balanced mix of researchers from the academia, R&D sectors of government and the pharmaceutical industry.

The book is also intended to give advanced graduate students and new researchers a scholarly overview of several research frontiers in biostatistics, which they can use to further advance the field through development of new techniques and results.

Contents
• False Discovery Rates: o A New Adaptive Method to Control the False Discovery Rate (F Liu & S K Sarkar) o Adaptive Multiple Testing Procedures Under Positive Dependence (W-G Guo et al.) o A False Discovery Rate Procedure for Categorical Data (J F Heyse) • Survival Analysis: o Conditional Nelson-Aalen and Kaplan-Meier Estimators with the Müller–Wang Boundary Kernel (X-D Luo & W-Y Tsai) o Regression Analysis in Failure Time Mixture Models with Change Points According to Thresholds of a Covariate(J-M Lee et al.) o Modeling Survival Data Using the Piecewise Exponential Model with Random Time Grid (F N Demarqui et al.) o Proportional Rate Models for Recurrent Time Event Data Under Dependent Censoring: A Comparative Study (L D A F Amorim et al.) o Efficient Algorithms for Bayesian Binary Regression Model with Skew-Probit Link (R B A Farias & M D Branco) o M-Estimation Methods in Heteroscedastic Nonlinear Regression Models (C Lim et al.) o The Inverse Censoring Weighted Approach for Estimation of Survival Functions from Left and Right Censored Data (S Subramanian & P-X Zhang) o Analysis and Design of Competing Risks Data in Clinical Research (H T Kimn) • Related Topics: Genomics/Bioinformatics, Medical Imaging and Diagnosis, Clinical Trials: o Comparative Genomic Analysis Using Information Theory (S N Fatakia et al.) o Statistical Modeling for Data of Positron Emission Tomography in Depression (C Chang & R T Ogden) o The Use of Latent Class Analysis in Medical Diagnosis (D Rindskopf) o Subset Selection in Comparative Selection Trials (C-S Leu et al.)