Published November, 2014
By David C. Hoaglin and Stephen E. Fienberg
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

One of the best known statisticians of the 20th century, Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. It is hoped that sharing these writings with a new generation of researchers will inspire them to build upon his insights and efforts.

---

Published March, 2014
By Robert E. Kass, Uri Eden, Emery N. Brown, Emery Brown and Uri T. Eden
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data.

---

Published August, 2013
By Mark J. van der Laan and Sherri Rose
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

Parts II-IX handle complex data structures and topics applied researchers will immediately recognize from their own research, including time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies.

---

Published April, 2013
By Brajendra C. Sutradhar
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models.

---

Published September, 2012
By Heping Zhang, Burton Singer and Burton H. Singer
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

Although there are substantial data and plausibility arguments suppo- ing many conditions as contributory components of pathways to illness and disease end points, we have, historically, lacked an e?ective method- ogy for identifying the structure of the full pathways.

---

Published June, 2011
By Mark J. van der Laan and Sherri Rose
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

Parts II-IX handle complex data structures and topics applied researchers will immediately recognize from their own research, including time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies.

---

Published February, 2011
By Brajendra C. Sutradhar
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

Unlike the existing books, this book uses a class of auto-correlation structures to model the longitudinal correlations for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models.

---

Published November, 2010
By Mark J. van der Laan and Sandrine Dudoit
Publisher: Springer (Springer New York)
Series: Springer Series in Statistics
Rating:
Availability: Not available (reason unspecified)

This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. These are applied to a range of problems in biomedical and genomic research.

---

Published November, 2010
By Jiming Jiang and Jiang Jiming
Publisher: Springer (Springer New York)
Series: Springer Series in Statistics
Rating:
Availability: Not available (reason unspecified)

This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models. It presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields.

---

Published November, 2010
By Nhu D. Le and James V. Zidek
Publisher: Springer (Springer-Verlag New York Inc.)
Series: Springer Series in Statistics
Rating:
Availability: Available

This book provides a broad introduction to the subject of environmental space-time processes, addressing the role of uncertainty.

---