Power and sample size calculations for comparison of two regression lines with heterogeneous variances

Keyphrases

• Sample Size Calculation 100%
• Heterogeneous Variance 100%
• Predictor Variables 100%
• Regression Line 100%
• Design Planning 66%
• Treatment Variable 66%
• Medical Sciences 33%
• Simplified Method 33%
• Biological Sciences 33%
• Numerical Examples 33%
• Allocation Scheme 33%
• Error Variance 33%
• Numerical Investigation 33%
• Interaction Effect 33%
• Kidney 33%
• Response Variable 33%
• Reliable Solution 33%
• Welch Test 33%
• Flexible Allocation 33%
• Continuous Predictors 33%
• Interaction Design 33%
• Diabetic 33%
• Regression Slope 33%
• Empirical Performance 33%
• Interactive Effects 33%
• Raising Awareness 33%
• Power Evaluation 33%
• Distributional Features 33%
• Treatment Group 33%
• Appropriate Reliance 33%
• Partial Information 33%
• Body Weigh 33%
• Software Program 33%
• Difference Test 33%
• Interactive Research 33%
• Weighted Data 33%
• Homogeneous Error 33%
• R Software 33%
• SAS Software 33%
• Continuous Response 33%

Mathematics

• Variance 100%
• Sample Size Calculation 100%
• Predictor Variable 100%
• Regression Line 100%
• Numerical Example 33%
• Sample Size Determination 33%
• Welch Test 33%
• Interaction Effect 33%
• Error Variance 33%
• Response Variable 33%

Psychology

• Body Weight 100%