A mixed effects model for analyzing area under the curve of longitudinally measured biomarkers with missing data

Keyphrases

• Missing Data 100%
• Area under the Curve 100%
• Mixed-effects Model 100%
• Treatment Group 50%
• Linear Mixed Model 33%
• Mean Area 33%
• Randomized Trial 16%
• Nuisance 16%
• Smokers 16%
• Statistical Inference 16%
• Group-based 16%
• Nicotine Reduction 16%
• T-test 16%
• Two-step Approach 16%
• Lognormal Model 16%
• Biomarker Data 16%
• Complete Case Analysis 16%
• Randomized Controlled Trail 16%
• Baseline Imbalance 16%
• Simple Imputation 16%
• Missing Measurements 16%
• Variance Parameter 16%

Mathematics

• Treatment Group 100%
• Linear Mixed Model 66%
• Inferential Statistics 33%
• Variance 33%
• Summary Measure 33%
• Biomarker Data 33%
• Randomized Trial 33%
• Complete Case Analysis 33%