External Validity
Epidemiology Counts – Episode One: “Why Should I Trust that New Health Study?”
Click HERE to view “Why Should I Trust the New Health Study?”
SER
Suzanne Bevan 2019, Annual Meeting Recording, Video Causal Inference, Collider Bias, Confounding, DAGs, External Validity, Generalizability, Immortal Time Bias, Information bias, Mathematical Modeling, Misclassification, Missing Data, Selection Bias, Survivor Bias
Suzanne Bevan 2019, Annual Meeting Recording, Video Cancer, Causal Inference, Clinical Epidemiology, Cohort, Collider Bias, Confounding, DAGs, Diabetes, Early Stage Investigator, External Validity, G-Methods, Health Disparities, Health Services/Policy, Instrumental Variable, Inverse Probability Weight, Mendelian Randomization, Mentoring, Molecular, Nutrition/Obesity, Physical Activity/Sports Medicine, Quasi-Experimental, Race, Randomized Controlled Trial, Screening, Selection Bias, Social, Survey Sampling
Suzanne Bevan 2019, Annual Meeting Recording, Video Aging, Causal Inference, Confounding, DAGs, External Validity, Generalizability/External Validity/Transportability, HIV/STI, Inverse Probability Weight, Mendelian Randomization, Methods/Statistics, Perinatal, Randomized Controlled Trial, Regression Discontinuity, Transportability
Suzanne Bevan SERdigital, Video, Webinar Causal Inference, Cohort, Confounding, External Validity, HIV/STI, Inverse Probability Weight, Mental Health, Methods/Statistics, Missing Data, P-Values, Propensity Score, Randomized Controlled Trial, Selection Bias, Statistics (e.g. Hypothesis Testing), Transportability
Suzanne Bevan SERpodcast Case-Control, Causal Inference, Cohort, Confounding, Ethics, External Validity, Generalizability, Interaction/Effect Measure Modification, Philosophy of Science/Epidemiology, Reproducibility/Transparency, Science Communication
Click HERE to view “Why Should I Trust the New Health Study?”
Suzanne Bevan 2018, Annual Meeting Recording, Video Causal Inference, Collider Bias, Confounding, DAGs, Early Stage Investigator, External Validity, G-Methods, Instrumental Variable, Inverse Probability Weight, Mendelian Randomization, Quasi-Experimental, Randomized Controlled Trial, Science Communication, Survey Sampling, Teaching
Suzanne Bevan 2018, Annual Meeting Recording, Video Cardiovascular, Causal Inference, Confounding, DAGs, Doubly Robust Estimators/TMLE, External Validity, Genetics, Instrumental Variable, Interaction/Effect Measure Modification, Inverse Probability Weight, Mediation, Mental Health, Methods/Statistics, Nutrition/Obesity, P-Values, Quasi-Experimental, Selection Bias, Simulation, Statistics (e.g. Hypothesis Testing), Substance Use
Suzanne Bevan SERtalks, Video, Webinar Cancer, Cardiovascular, Causal Inference, Confounding, External Validity, Generalizability, Gun Violence, Health Disparities, Interaction/Effect Measure Modification, Men's Health, Molecular, Quasi-Experimental, Race, Respiratory, Social, Surveillance, Survey Sampling, Women's Health