Survey Sampling

December 17 2020

Epidemiologic methods for applied research: Answering important public health questions that are not causal

Suzanne Bevan 2020 - Virtual Conference Causal Inference, Drug Overdose, Generalizability, Global Health, HIV/STI, Infectious Disease, Methods/Statistics, Misclassification, Non-Standard Sampling Methods, Selection Bias, Surveillance, Survey Sampling

Session Chairs: Cathering Lesko, Matthew Fox

March 11 2020

Leveraging mobile health applications for epidemiologic research

Suzanne Bevan Society Collaborations, Video, Webinar Big Data, Machine Learning, Perinatal, Reproductive, Survey Sampling, Women's Health

SER-SPER Collaboration Moderator: Sonia Grandi, NIH Panel Presenters: Carlotta Favaro, Jenna Nobles, Nitika Pant Pai, Quynh Pham, Shruthi Mahalingaiah

June 21 2019

Brian MacMahon Early Career Award Winner

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

February 11 2019

Depression’s got a hold of me: Generational trends in substance use and mental health among US adolescents

Suzanne Bevan SERtalks, Video, Webinar Age-Period-Cohort, Behavior, Cigarettes/Alcohol/Drugs, Injury/Violence, Mental Health, Social, Substance Use, Survey Sampling

June 22 2018

Brian MacMahon Early Career Award Winner

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

May 29 2018

A Random Shuffle

Suzanne Bevan Methodological Playlists, SERplaylists Cancer, Case-Control, Causal Inference, Confounding, Grants, Methods/Statistics, Misclassification, Molecular, P-Values, Philosophy of Science/Epidemiology, Publishing, Race, Reproductive, Selection Bias, Statistics (e.g. Hypothesis Testing), Survey Sampling, Women's Health 0

Andrew Olshan offers a “random shuffle” of thought-provoking topics in epidemiology. This article features a mix of insights and resources designed to spark discussion and deepen understanding of key concepts in population health research.

March 9 2018

Race and Mortality in America

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

November 2 2015

Quantitative Bias Analysis

Suzanne Methodological Playlists, SERplaylists Bayes, Case-Control, Causal Inference, Confounding, External Validity, Methods/Statistics, Misclassification, Quantitative Bias Analysis, Reproductive, Selection Bias, Survey Sampling, Validation Studies 0

Matthew P. Fox and Timothy L. Lash introduce quantitative bias analysis, a powerful approach for assessing the impact of systematic errors in epidemiologic research. This article explains methods to evaluate bias and strengthen study validity.

June 1 2015

Ebola, MERS and Chikungunya: Methodological Issues in Responding to Emerging Disease Threats

Suzanne Bevan 2015, Annual Meeting Recording, Video Global Health, Infectious Disease, Mathematical Modeling, Surveillance, Survey Sampling

January 30 2015

Greatest Hits – Part 2

Suzanne Other Playlists, SERplaylists Case-Control, Causal Inference, Cohort, Confounding, DAGs, Dose Response, Environment, Individual Versus Population Risk, P-Values, Philosophy of Science/Epidemiology, Selection Bias, Statistics (e.g. Hypothesis Testing), Survey Sampling, Teaching 0

Greatest Hits – Part 2 brings together standout conversations and resources from the EpiResearch community. This collection highlights influential discussions on epidemiologic methods and practical insights for researchers seeking quick access to key topics.