Statistical Applications for Health Information Management by Carol E. Osborn

By Carol E. Osborn

Released at the side of the yankee health and wellbeing details administration organization® (AHIMA), This name Covers the fundamental Biostatistics, Descriptive facts, And Inferential information which are distinct To future health details administration (HIM). desktop functions utilized in the true international Are emphasised through the booklet, With just a minimum concentrate on guide functions.

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000 because the first death ends the first interval. The occurrence of a death ends one death-free interval and begins another. ch01 4/21/05 11:24 AM Page 27 Kaplan-Meier Survival Analysis 27 Table 1–18 Hypothetical Data on Survival Times for Bladder Cancer Patients (1) Survival Time Mo. — 23 34 37 40؉ 41 42 43 45 47 48؉ (2) No. Living Prior to Subject’s Death (3) No. 117 Column 1 in Table 1–18 indicates the survival time, in months, for each subject. Two patients were lost to follow-up, as indicated by “ϩ” — one at 40 months and one at 48 months.

And Gauvreau, K. 2000. Principles of biostatistics. Pacific Grove, CA: Brooks Cole Publishing. Ratelle, S. 2001. Preventive medicine and public health: PreTest self-assessment and review. New York: McGraw-Hill/ Appleton & Lange McGraw-Hill. S. Department of Health and Human Services (US DHHS), Public Health Service. 1992. Principles of epidemiology: An introduction to applied epidemiology and biostatistics. S. Department of Health and Human Services, Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), Office of Analysis, Epidemiology, and Health Promotion (OAEHP), Compressed Mortality File (CMF) compiled from CMF 1968–1988 Series 20, No.

A histogram consists of a series of bars, each having as its base one class interval and as its height the number (frequency) or percentage of cases in that class. A class interval is a type of category; a class interval can represent one value in a frequency distribution (Figure 2–9) or a group of values in a frequency distribution (Figure 2–10). In this type of graph, there are no spaces between the bars, since the data points represented are continuous. That is, a data point may fall anywhere in the area covered by the graph.

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