Aylin Paul - Statistical methods for healthcare performance monitoring
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Statistical Methods for Healthcare Performance Monitoring
Chapman & Hall/CRC Biostatistics Series
Editor-in-Chief
Shein-Chung Chow, Ph.D., Professor, Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
Series Editors
Byron Jones, Biometrical Fellow, Statistical Methodology, Integrated Information Sciences, Novartis Pharma AG, Basel, Switzerland
Jen-pei Liu, Professor, Division of Biometry, Department of Agronomy, National Taiwan University, Taipei, Taiwan
Karl E. Peace, Georgia Cancer Coalition, Distinguished Cancer Scholar, Senior Research Scientist and Professor of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia
Bruce W. Turnbull, Professor, School of Operations Research and Industrial Engineering, Cornell University, Ithaca, New York
Published Titles
Adaptive Design Methods in Clinical Trials, Second Edition
Shein-Chung Chow and Mark Chang
Adaptive Designs for Sequential Treatment Allocation
Alessandro Baldi Antognini and Alessandra Giovagnoli
Adaptive Design Theory and Implementation Using SAS and R, Second Edition
Mark Chang
Advanced Bayesian Methods for Medical Test Accuracy
Lyle D. Broemeling
Applied Biclustering Methods for Big and High-Dimensional Data Using R
Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, and Willem Talloen
Applied Meta-Analysis with R
Ding-Geng (Din) Chen and Karl E. Peace
Basic Statistics and Pharmaceutical Statistical Applications, Second Edition
James E. De Muth
Bayesian Adaptive Methods for Clinical Trials
Scott M. Berry, Bradley P. Carlin, J. Jack Lee, and Peter Muller
Bayesian Analysis Made Simple: An Excel GUI for WinBUGS
Phil Woodward
Bayesian Designs for Phase III Clinical Trials
Ying Yuan, Hoang Q. Nguyen, and Peter F. Thall
Bayesian Methods for Measures of Agreement
Lyle D. Broemeling
Bayesian Methods for Repeated Measures
Lyle D. Broemeling
Bayesian Methods in Epidemiology
Lyle D. Broemeling
Bayesian Methods in Health Economics
Gianluca Baio
Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation
Ming T. Tan, Guo-Liang Tian, and Kai Wang Ng
Bayesian Modeling in Bioinformatics
Dipak K. Dey, Samiran Ghosh, and Bani K. Mallick
Benefit-Risk Assessment in Pharmaceutical Research and Development
Andreas Sashegyi, James Felli, and Rebecca Noel
Benefit-Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments
Qi Jiang and Weili He
Biosimilars: Design and Analysis of Follow-on Biologics
Shein-Chung Chow
Biostatistics: A Computing Approach
Stewart J. Anderson
Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis
Stephen L. George, Xiaofei Wang, and Herbert Pang
Causal Analysis in Biomedicine and Epidemiology: Based on Minimal Sufficient Causation
Mikel Aickin
Clinical and Statistical Considerations in Personalized Medicine
Claudio Carini, Sandeep Menon, and Mark Chang
Clinical Trial Data Analysis using R
Ding-Geng (Din) Chen and Karl E. Peace
Clinical Trial Methodology
Karl E. Peace and Ding-Geng (Din) Chen
Computational Methods in Biomedical Research
Ravindra Khattree and Dayanand N. Naik
Computational Pharmacokinetics
Anders Klln
Confidence Intervals for Proportions and Related Measures of Effect Size
Robert G. Newcombe
Controversial Statistical Issues in Clinical Trials
Shein-Chung Chow
Data Analysis with Competing Risks and Intermediate States
Ronald B. Geskus
Data and Safety Monitoring Committees in Clinical Trials
Jay Herson
Design and Analysis of Animal Studies in Pharmaceutical Development
Shein-Chung Chow and Jen-pei Liu
Design and Analysis of Bioavailability and Bioequivalence Studies, Third Edition
Shein-Chung Chow and Jen-pei Liu
Design and Analysis of Bridging Studies
Jen-pei Liu, Shein-Chung Chow, and Chin-Fu Hsiao
Design & Analysis of Clinical Trials for Economic Evaluation & Reimbursement: An Applied Approach Using SAS & STATA
Iftekhar Khan
Design and Analysis of Clinical Trials for Predictive Medicine
Shigeyuki Matsui, Marc Buyse, and Richard Simon
Design and Analysis of Clinical Trials with Time-to-Event Endpoints
Karl E. Peace
Design and Analysis of Non-Inferiority Trials
Mark D. Rothmann, Brian L. Wiens, and Ivan S. F. Chan
Difference Equations with Public Health Applications
Lemuel A. Moy and Asha Seth Kapadia
DNA Methylation Microarrays: Experimental Design and Statistical Analysis
Sun-Chong Wang and Arturas Petronis
DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments
David B. Allison, Grier P. Page, T. Mark Beasley, and Jode W. Edwards
Dose Finding by the Continual Reassessment Method
Ying Kuen Cheung
Dynamical Biostatistical Models
Daniel Commenges and Hlne Jacqmin-Gadda
Elementary Bayesian Biostatistics
Lemuel A. Moy
Empirical Likelihood Method in Survival Analysis
Mai Zhou
ExposureResponse Modeling: Methods and Practical Implementation
Jixian Wang
Frailty Models in Survival Analysis
Andreas Wienke
Fundamental Concepts for New Clinical Trialists
Scott Evans and Naitee Ting
Generalized Linear Models: A Bayesian Perspective
Dipak K. Dey, Sujit K. Ghosh, and Bani K. Mallick
Handbook of Regression and Modeling: Applications for the Clinical and Pharmaceutical Industries
Daryl S. Paulson
Inference Principles for Biostatisticians
Ian C. Marschner
Interval-Censored Time-to-Event Data: Methods and Applications
Ding-Geng (Din) Chen, Jianguo Sun, and Karl E. Peace
Introductory Adaptive Trial Designs: A Practical Guide with R
Mark Chang
Joint Models for Longitudinal and Time-to-Event Data: With Applications in R
Dimitris Rizopoulos
Measures of Interobserver Agreement and Reliability, Second Edition
Mohamed M. Shoukri
Medical Biostatistics, Third Edition
A. Indrayan
Meta-Analysis in Medicine and Health Policy
Dalene Stangl and Donald A. Berry
Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools
Marc Lavielle
Modeling to Inform Infectious Disease Control
Niels G. Becker
Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects
Oleksandr Sverdlov
Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies
Mark Chang
Multiregional Clinical Trials for Simultaneous Global New Drug Development
Joshua Chen and Hui Quan
Multiple Testing Problems in Pharmaceutical Statistics
Alex Dmitrienko, Ajit C. Tamhane, and Frank Bretz
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