Statistical Applications for Health Information ManagementJones & Bartlett Learning, 2000 - Broj stranica: 334 The first text of its kind, Statistical Applications for Health Information Management is devoted exclusively to the application of statistical techniques to the field of health information management. The author draws on her first-hand experience to demonstrate how frequency measures, as well as descriptive and inferential statistics, are being used to analyze clinical/administrative health care data today. Contains plenty of examples illustrating statistical procedures, how to use SPSS, and Excel; a single case study exemplifies the processes; emphasis on computer applications in current use, with minimal coverage of manual applications; each chapter ends with a summary to reinforce the material, as well as chapter exercises; "Acronyms and Terms" appendix defines the terms used in the book; appendixes supply commonly-used information. |
Sadržaj
PopulationBased Mortality Measures | 7 |
Frequently Used Measures of Morbidity | 19 |
Kaplan Meier Survival Analysis | 27 |
Chapter 2Graphic Display of Data | 40 |
Chapter 3Introduction to Measurement | 65 |
Reliability | 71 |
Conclusion | 77 |
Measures of Central Tendency and Variability | 86 |
Conclusion | 173 |
Chapter 7Analysis of Variance | 180 |
Chapter 8Correlation and Linear Regression | 202 |
Chapter 9Chi Square | 243 |
Chapter 10Nonparametric Methods | 268 |
Appendix AGlossary | 295 |
Appendix BStatistical Tables | 307 |
Appendix CFrequency Distribution of Discharges by DRG Critical Care | 320 |
Chapter 5The Normal Distribution and Statistical Inference | 121 |
Chapter 6Hypothesis Testing of the Difference between Two Population | 152 |
The z Test for Comparing Two Population Proportions | 158 |
About the Author 335 | |
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ALOS alpha level alternative hypotheses ANOVA procedure appears in Exhibit average bar chart calculated value central tendency class interval column comparing confidence interval Critical Care Hospital critical value defined degrees of freedom dependent variable descriptive statistics determine displayed Epidemiology equal example Female Fisher's exact test frequency distribution histogram independent samples indicates Kruskal-Wallis Kruskal-Wallis test length of stay level of measurement Mann-Whitney Mann-Whitney Wilcoxon measures of central median mode mortality rate null and alternative null hypothesis number of deaths number of observations one-tailed test payer Pearson phi coefficient physician population mean proportion ratio regression model reject the null relationship risk sample means sample statistics scale of measurement scatter diagram scores Spearman rho SPSS Output standard deviation standard error standard normal distribution statistical significance statistical test sum of squares survival total charges total number TOTCHG two-tailed test type II error U.S. Department validity variance variation weight