Squeezing observational data for better causal inference: Methods and examples for prevention research

Keyphrases

• Prevention Research 100%
• Observational Data 100%
• Confounding 100%
• Causal Inference Analysis 100%
• Randomized Controlled Trial 66%
• Regression Adjustment 66%
• Causal Inference 66%
• Family Health 33%
• Chile 33%
• Family Members 33%
• Health Problems 33%
• Data Analysis Methods 33%
• Primary Care Clinic 33%
• Propensity Score Matching 33%
• Causal Association 33%
• Family Functioning 33%
• Multiple Regression 33%
• Background Characteristics 33%
• Inverse Probability Weighting 33%
• Registration Data 33%
• Matching Probability 33%
• Patient Registration 33%
• Non-experimental Data 33%

Mathematics

• Inference Method 100%
• Observational Data 100%
• Causal Inference 100%
• Confounding 100%
• Probability Theory 33%
• Analysis Technique 33%
• Multiple Regression 33%
• Experimental Data 33%
• Propensity Score Matching 33%
• Gold Standard 33%
• Complete Information 33%

Computer Science

• Controlled Trial 100%
• Observational Data 100%
• Inference Method 100%
• Matching Score 50%
• Inverse Probability 50%
• Gold Standard 50%
• Analysis Technique 50%