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Statistical Development of Quality in Medicine
by Per Winkel

Statistical Development of Quality in Medicine presents the statistical concepts behind the application of industrial quality control methods.

Statistical Development of Quality in Medicine provides the reader with the necessary background to critically assess the literature on the application of control charts and risk adjustment and to apply the findings.

Contents

Control Charts

1. Theory of statistical process control

  • Statistical foundation of control charts
  • Use of control charts
  • Design of control charts
  • Rational samples
  • Analysing the properties of a control chart
  • Checklists and Pareto charts
  • Clinical applications of control charts
  • Inappropriate changes of a process

2. Shewhart control charts

  • Control charts for discrete data
  • Control charts for continuous data
  • Control charts for variable sample size

3. Time-weighted control charts

  • Shortcomings of Shewhart charts
  • Cumulative sum charts
  • Exponentially weighted moving average (EWMA) charts

4. Control charts for autocorrelated data

  • Time series analysis
  • Tests of independence of measurements
  • Control charts for autocorrelated data
  • Effect of choice of process standard deviation estimator

Risk Adjustment

5. Tools for risk adjustment

  • Variables
  • Statistical models
  • Regression on continuous outcome measure
  • Logistic regression on binary data
  • Assessing the quality of a regression model

6. Risk-adjusted control charts

  • Risk adjustment
  • Risk-adjusted control charts
  • Comments

7. Risk-adjusted comparison of healthcare providers

  • Experimental adjustment
  • Statistical risk adjustment of observational data
  • Perils of risk adjusting observational data
  • Public report cards

Learning and Quality Assessment

8. Learning curves

  • Assessing a single learning curve
  • Assessing multiple learning curves
  • Factors affecting learning curves
  • Learning curves and randomised clinical trials

9. Assessing the quality of clinical processes

  • Data processing requirement
  • Benchmarking of processes in statistical control
  • Dealing with processes that are not in statistical control in the same state
  • Overdispersion
  • Multiple significance testing

Index

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Statistical Development of Quality in Medicine
by Per Winkel
2007 263 pages $89.00 + shipping
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