You can add register names and variable names using $ or to the Name in the Watch window. If you have to qualify the context, use the context operator (C++) syntax in the Name in the Watch window. The context is the function, source file, or module where a variable is located. You may need to qualify the context of a variable name, or an expression that uses a variable name. The variable values in the Watch window change as you iterate through the for loop. Do the same for b and c.Ĭontinue debugging by selecting Debug > Step Into or pressing F11 as needed to advance. In the Watch window, select an empty row, and type variable a.
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You can open additional Watch windows by selecting windows 2, 3, or 4. Open a Watch window by selecting Debug > Windows > Watch > Watch 1, or pressing Ctrl+ Alt+ W > 1. Start debugging by selecting the green Start arrow or Debug > Start Debugging, or press F5. You can open more than one Watch window, and observe more than one variable in a Watch window.įor example, to set a watch on the values of a, b, and c in the following code: int main()įor (int i = 0 i Toggle Breakpoint, or pressing F9. 11-9 Proficiency Testing Report.If this is the first time that you've tried to debug code, you may want to read Debugging for absolute beginners and Debugging techniques and tools before going through this article. 11-7 Strategy to Pass Proficiency Testing. 11-3 Calculating the Probability of PT Failure. 10-11Ĭhapter 11 Understanding Proficiency Testing 10-2 Accuracy.10-5 Reportable Range.10-7 Calibration Verification.10-8 Case Studies.10-8 Case 1: A Non-Linear Case.10-9 Case 2: Inaccurate Results.10-10 Case 3: Failures Due to Inappropriate Specifications. Interpretation of Method Comparison Results.9-2 Concepts and Definitions.9-4 Types of Method Comparison Experiments.9-14 Interpretation of Results.9-15 Case 1: A Good Example.9-16 Properties of Good Data.9-17 Report for Good Case.9-18 Case 2: Effect of Proportional Error.9-19 Case 3: Effect of Constant Error.9-20 Case 4: Effect of Random Error.9-20 Case 5: Non-Linear Pattern.9-23 Case 6: Effect of Outliers.9-24 Case 7: Effect of Extreme Range.9-25 Case 8: Effect of Range of Results.9-26 Case 9: Effect of Number of Specimens.9-28 Case 10: Effect of Poor Distribution of Results.9-29 Method Harmonization Experiment.9-30Ĭhapter 10 Interpreting Linearity Experimentsĭefinition of Some Statistical Terms.10-2 Linearity. Startup Requirements.8-2 Recurring Requirements.8-3 Before You Begin.8-4Ĭhapter 9 Interpreting Method Comparison Experiments 7-5 In the Event of QC Failure.7-5 Average of Normals.7-6Ĭhapter 8 Performance Validation Experiments 6-11 Defining Performance Standards - Case Studies. 6-11 Limits defined by Performance Standards. Performance Standards Defined.6-3 Defining PS for Established Methods.6-10 Comprehensive Approach for Defining PS.6-10 Low End Performance Standards. Total Allowable Error).5-5 QC Failure.5-6 Error Profiles.5-8 Error Budgets.5-9 Calculation of Allowable Systematic Error. 5-1 Concepts of Error.5-2 Performance Standards (i.e. Major Statistical Concepts.4-2 Statistical Terms used in Clinical Laboratories.4-8Ĭhapter 5 Understanding Error and Performance StandardsĮxperimental Error. 3-4 Performance Standards.3-5 Requirements of Other Deemed Organizations.3-5 2-4 Why include these cases in a Lab Statistics Manual?.2-4 It’s the Culture, Stupid!!.2-5Ĭhapter 3 Relevant Highlights of CLIA ‘88 Regulations i Preface for the Fifth Edition.ii History of Our Company.ii Clinical Laboratory and Standards Institute Notice.iiiĬhapter 1 Introduction Chapter 2 Effects of Bad Lab ResultsĬase of the Disappearing Patients.2-2 Case of the Congressional Hearings.2-2 Case of the Failed Hospital.2-2 Case of the Mistaken Murder Charge.2-3 How Lab Error Contributes to Higher Health care Costs.2-3 Key Role of Clinical Laboratory. Rhoads Associates A Data Innovations brandġ20 Kimball Ave, Suite 100 South Burlington, VT 05403 (800) 786-2622 and (802) 658-1955 Table of Contents PrefaceĬopyright Notice. Lab Statistics Fun and Easy A Practical Approach to Method Evaluation Fifth Editionīy David G.
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RhoadsĪ Practical Approach to Method Validationĭeveloping Software for the Quality-Driven Clinical Laboratory Since 1983
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