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A holistic, step-by-step approach to analyzing health care data!\n\n\u003cp\u003e\n\nWritten for both beginner and intermediate JMP users working in or studying health care, \u003ci\u003eData Management and Analysis Using JMP: Health Care Case Studies\u003c/i\u003e bridges the gap between taking traditional statistics courses and successfully applying statistical analysis in the workplace. Authors Jane Oppenlander and Patricia Schaffer begin by illustrating techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis methods covered in the book are the foundational techniques commonly applied to meet regulatory, operational, budgeting, and research needs in the health care field.\n\n\u003cp\u003e\n\nThis example-driven book shows practitioners how to solve real-world problems by using an approach that includes problem definition, data management, selecting the appropriate analysis methods, step-by-step JMP instructions, and interpreting statistical results in context. Practical strategies for selecting appropriate statistical methods, remediating data anomalies, and interpreting statistical results in the domain context are emphasized.\n\n\u003cp\u003e\n\nThe cases presented in \u003ci\u003eData Management and Analysis Using JMP\u003c/i\u003e use multiple statistical methods. A progression of methods--from univariate to multivariate--is employed, illustrating a logical approach to problem-solving. Much of the data used in these cases is open source and drawn from a variety of health care settings. The book offers a welcome guide to working professionals as well as students studying statistics in health care-related fields. |
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