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Analyzing Health Data in R for SAS Users

Monika Maya Wahi, Peter Seebach
November 27, 2017

Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful...

Applied Biostatistical Principles and Concepts: Clinicians' Guide to Data Analysis and Interpretation

Laurens Holmes, Jr.
November 20, 2017

The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery Applied...

Statistical Methods in Psychiatry and Related Fields: Longitudinal, Clustered, and Other Repeated Measures Data

Ralitza Gueorguieva
November 15, 2017

Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical...

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS

Kris Bogaerts, Arnost Komarek, Emmanuel Lesaffre
November 14, 2017

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval...

Weakly Stationary Random Fields, Invariant Subspaces and Applications

Vidyadhar S. Mandrekar, David A. Redett
November 06, 2017

The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis). It reviews current literature, presents central issues and most important results within the area. For advanced Ph.D. students,...

Gene Expression Studies Using Affymetrix Microarrays

Hinrich Gohlmann, Willem Talloen
November 03, 2017

The Affymetrix GeneChip® system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and may end up drawing sub-optimal conclusions. Written by a molecular...

Remote Sensing of Hydrometeorological Hazards

George P. Petropoulos, Tanvir Islam
November 02, 2017

Extreme weather and climate change aggravate the frequency and magnitude of disasters. Facing atypical and more severe events, existing early warning and response systems become inadequate both in scale and scope. Earth Observation (EO) provides today information at global, regional and even basin...

Research Analytics: Boosting University Productivity and Competitiveness through Scientometrics

Francisco J. Cantu-Ortiz
October 26, 2017

The growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life. Scientific knowledge is not an exception to...

Randomization, Masking, and Allocation Concealment

Vance Berger
October 26, 2017

Randomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art randomization methods, and also wants to be able to describe these methods correctly. Far too often the subtle nuances that distinguish proper randomization from flawed...

Intuition, Trust, and Analytics

Jay Liebowitz, Joanna Paliszkiewicz, Jerzy Gołuchowski
October 26, 2017

In order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their “gut feelings” may do better than those who don’t. Analytics, however, are important in a...

Handbook of Quantile Regression

Roger Koenker, Victor Chernozhukov, Xuming He, Limin Peng
October 25, 2017

Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that...

Statistical Process Control: A Pragmatic Approach

Stephen Mundwiller
October 24, 2017

People with minimal math skills, and even those with advanced math skills, have difficulty grasping the intuitive concepts behind Statistical Process Control (SPC). Many practitioners do not understand the concepts behind Control Charts, the differences of out of control and out of specification,...