An abduction of a young model takes Ray Eastwood into the twilight world of the demimonde and the brooding mudflats of Essex

Someone is stealing Morgan Moress fancy model horses, and her last hope is Maxwell Masters, newbie detective. He made a name for himself when he discovered who defaced Destiny Romans locker at school. Now, Maxwell and Destiny are partnersbut are they good enough to solve a mystery that has even the professionals stumped? Not only have Morgans expensive, model horses been stolen, but she also received a threatening letter, warning her not to attend the Syracuse International Horse Show in June. Maxwell doesnt really approve of the unsavory character she has chosen to protect her, but he takes her caseand is quickly in way over his head! A couple ends up murdered; another woman is injured. The stakes are high, and Maxwell starts to doubt his own sleuthing abilities. Can he catch the culprit before someone else gets hurt? Time is running outand only Maxwell Masters can find Morgans model horses and save the day.

With this groundbreaking book, discover the critical connections between anxiety and grief—and learn practical strategies for healing, based on the Kübler-Ross stages model. If you're suffering from anxiety but not sure why, or if you're struggling with loss and looking for solace, Anxiety: The Missing Stage of Grief offers help and answers. As grief expert Claire Bidwell Smith discovered in her own life—and in her practice with her therapy clients—significant loss and unresolved grief are primary underpinnings of anxiety. Using research and real life stories, Smith breaks down the physiology of anxiety, providing a concrete explanation that will help you heal. Starting with the basics questions—“What is anxiety?” and “What is grief?” and moving to concrete approaches such as making amends, taking charge, and retraining your brain, Anxiety takes a big step beyond Elisabeth Kübler-Ross's widely accepted five stages to unpack everything from our age-old fears about mortality to the bare vulnerability a loss can make us feel. With concrete tools and coping strategies for panic attacks, getting a handle on anxious thoughts, and more, Smith bridges these two emotions in a way that is deeply empathetic and profoundly practical.

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem. This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field. This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data.

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.

The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference and it can be used in graduate level classes.