Statistics in the health sciences : Theory, applications, and computing
Introduces classical and novel statistical methods that can be used by theoretical and applied biostatisticians to develop efficient solutions for real-world problems encountered in clinical trials and epidemiological studies. The authors provide a detailed discussion of methodological and applied issues in parametric, semi-parametric and nonparametric approaches, including computationally extensive data-driven techniques, such as empirical likelihood, sequential procedures, and bootstrap methods. Many of these techniques are implemented using popular software such as R and SAS
Root resorption : Pathophysiology & Management
Root resorption is a clinical condition whereby the mineralized tissues of the root are lost, mainly as an immunological response due to various factors. Root resorption has been a perplexing clinical condition for dental practitioners as it has a broad range of clinical manifestation with varied severity and also due to the associated diagnostic dilemma. Early detection is essential for successful management and outcome of root resorption. Root resorptions have several local and systemic predisposing factors. Hence, patients with a history of one or more predisposing factors should be monitored closely for initial signs of root resorption.
HIMSS Dictionary of Health Information and Technology Terms, Acronyms and Organizations
This valuable resource includes more than 3,400 definitions, organizations, credentials, acronyms and references. Definitions of terms for the health IT, medical and nursing informatics fields are updated and included. This fifth edition also includes an acronyms list with cross references to current definitions and a list of health IT-related associations and organizations, including contact information, mission statements and web addresses.
Anatomy ontologies for bioinformatics : Principles and practice
This book provides a timely and first-of-its-kind collection of contributed chapters on anatomy ontologies. It is interdisciplinary in its approach, bringing together relevant expertise from computing and biomedical studies, and covering both theoretical and applied aspects, with an emphasis on newer work relevant to the emerging Semantic Web.



