Body of Compassion: Ethics, Medicine, and the Church
Author: Brad Hinkel
In The Body of Compassion, Joel Shuman presents new theological treatment of contemporary bioethics, weaving together personal experience, a critical treatise on bioethics, and an exploration of a Christian theological alternative. This book is sure to be of interest to ethicists, medical professionals, and everyone who is troubled by the conflicts between science and religion.
Religion and ethics instructor Shuman's first book is the latest entry in Westview's ever-intriguing "Radical Traditions" series. Using examples from literature and personal experience, Shuman constructs an interesting case for the primacy of compassion--Christian compassion--in the delivery of healthcare. The standard of moral rectitude he sets for caregivers may seem impossibly high, but his work will be instructive and provocative for many readers. For most collections. Copyright 1999 Cahners Business Information.
Shuman (theological ethics, Duke U.) weaves personal experience, contemporary bioethics, and a Christian theological alternative into his treatment. Taking his grandfather's lonely end in a sterile hospital as a goad, he explores how modern medicine has distanced itself from people as living being. He also explores various approaches to bioethics of the past 20 years and finds that each has failed due to the lack of a theological concern for the body that places it in a larger context. Annotation c. by Book News, Inc., Portland, Or.
Table of Contents:
|List of Credits|
|1||Before Bioethics: The Moral Paradox of Modern Medicine||1|
|2||The "Birth" of Bioethics: Scientific Expertise and the Justification of the Modern Project||47|
|3||After Bioethics: Toward a Christian Theology of the Body and Its Goods||79|
|4||Beyond Bioethics: Caring for Christ's Body||113|
|Afterword: Awaiting the Redemption of Our Body - Life and Death in the Meantime||157|
Using R for Introductory Statistics
Author: John Verzani
The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it is a valuable tool for students who are first learning statistics, proper introductory materials are needed for its adoption.
Using R for Introductory Statistics fills this gap in the literature, making the software accessible to the introductory student. The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The pacing is such that students are able to master data manipulation and exploration before diving into more advanced statistical concepts. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models.
This text lays the foundation for further study and development in statistics using R. Appendices cover installation, graphical user interfaces, and teaching with R, as well as information on writing functions and producing graphics. This is an ideal text for integrating the study of statistics with a powerful computational tool.