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Biostatistics for the Clinician

Biostatistics for the Clinician

University of Texas-Houston
Health Science Center

Lesson 3: Clinical Decision Making in a Multivariable Environment

Lesson 3: Clinical Decision Making in a Multivariable Environment

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Biostatistics for the Clinician

Table of Contents

Lesson 3.0 Review of Lesson 2 3.0.1 Achieving Appropriate Power 3.0.2 Working with a Statistician 3.0.3 Confidence Intervals Lesson 3.1 Correlation and Regression Analysis 3.1.1 Simple Correlation and Regression Scatterplots Linear vs. Curvilinear Regression Regression Equations and Estimation Residuals 3.1.2 Use of Computers Simplicity of Computer Applications Computation of Regression Equation Guidelines for Computer Use 3.1.3 Multiple Regression Typical Multivariable Clinical Problems Weight, Sex and Height Cholesterol, Weight and Blood Pressure Log Linear Regression 3.1.4 C.R.A.P Detectors Have At Least 10 Subjects per Variable Full Credibility Requires Systematic Replication Cross-Validate with Independent Sample(s) Lesson 3.2 Decision Analysis 3.2.1 Decision Tree(s) 3.2.2 C.R.A.P. Detectors Review

Lesson 3: Clinical Decision Making in a Multivariable Environment

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