Recent Advances In Biostatistics: False Discovery Rates, Survival Analysis, And Related Topics
False Discovery Rates, Survival Analysis, and Related Topics
Published on 25. March 2011
Book
Hardback
312 pages
978-981-4329-79-8 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Advanced Graduate students; active researchers in universities, research labs in government and industry engaged in and concerned with modeling and data analysis in biostatistics; R&D managers and directors of biostatistics / public health research in government and industry.
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 21 mm
Weight
605 gr
ISBN-13
978-981-4329-79-8 (9789814329798)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
A New Adaptive Method to Control the False Discovery Rate; Adaptive Multiple Testing Procedures Under Positive Dependence; A False Discovery Rate Procedure for Categorical Data; A Distribution for P-Values; Conditional Nelson-Aalen and Kaplan-Meier Estimators with the Muller-Wang Boundary Kernel; The Inverse Censoring Weighted Approach for Estimation of Survival Functions from Left and Right Censored Data; Modeling Survival Data Using the Piecewise Exponential Model with Random Time Grid; Analysis of Recurrent Time-to-Event Data Under Dependent Censoring; Efficient Algorithms in Bayesian Binary Regression with Skew-Probit Link; M-Estimation Methods in Heteroscedastic Nonlinear Regression Model; Regression Analysis in Failure Time Mixture Models with Change Points According to Thresholds in a Covariate; Competing Risks Data: Design and Analysis; Comparative Genomic Analysis Using Information Theory; Statistical Modeling for Positron Emission Tomography; Subset Selection in Comparative Selection Trials; Using Latent Class Analysis in Medical Diagnosis.