Start / Casual Inference / Causal inference and network science for public health with ashley buchanan season 3 episode 2

Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2

60 min • 27 september 2021

In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Ashley Buchanan about causal inference with a focus on networks. Dr. Buchanan is an assistant professor of Biostatistics in the Department of Pharmacy Practice at the University of Rhode Island.

🔗 Dr. Buchanan's website

Follow along on Twitter:

The American Journal of Epidemiology: @AmJEpi
Ellie: @EpiEllie
Lucy: @LucyStats

🎶 Our intro/outro music is courtesy of Joseph McDade.

Senaste avsnitt

Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8

26 juni | 53 min

Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7

17 juni | 52 min

The Art of Clarity with Andrew Heiss | Season 6 Episode 6

29 maj | 50 min

Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5

8 maj | 55 min

From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4

24 april | 45 min

Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3

10 april | 82 min

What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9

12 juni 2024 | 50 min

Observational Causal Analyses with Erick Scott | Season 5 Episode 8

29 maj 2024 | 52 min

Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7

16 maj 2024 | 59 min

Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6

1 maj 2024 | 48 min

Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5

17 april 2024 | 47 min

Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4

3 april 2024 | 46 min

Immortal Time Bias | Season 5 Episode 3

20 mars 2024 | 35 min

Targeted Learning with Mar van der Laan | Season 5 Episode 2

6 mars 2024 | 51 min

Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1

21 februari 2024 | 18 min

Remembering Ralph B. D'Agostino, Sr.

2 oktober 2023 | 50 min

Evidence Science with Cat Hicks | Season 4 Episode 11

17 juli 2023 | 50 min

M-Bias: Much Ado About Nothing? | Season 4 Episode 10

24 april 2023 | 39 min

Thinking about Targeted Learning | Season 4 Episode 9

11 april 2023 | 46 min

Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8

29 mars 2023 | 38 min

Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7

14 mars 2023 | 39 min

Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6

28 februari 2023 | 67 min

The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5

10 december 2022 | 60 min

Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4

30 november 2022 | 52 min

Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3

16 november 2022 | 54 min

Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2

4 november 2022 | 58 min

Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1

13 oktober 2022 | 55 min

What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13

3 maj 2022 | 76 min

It Depends with Sander Greenland | Season 3 Episode 12

18 april 2022 | 88 min

The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11

5 april 2022 | 65 min

The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10

14 mars 2022 | 54 min

Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9

28 februari 2022 | 55 min

The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8

14 februari 2022 | 49 min

Asking questions that matter, getting answers that help | Season 3 Episode 7

5 december 2021 | 72 min

A Casual Look at Causal Inference History | Season 3 Episode 6

22 november 2021 | 72 min

Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5

8 november 2021 | 70 min

Metascience with Noah Haber | Season 3 Episode 4

25 oktober 2021 | 68 min

Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3

11 oktober 2021 | 58 min

Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2

27 september 2021 | 60 min

Coronavirus Rapid Tests Sensitivity, Specificity, Messaging, and Use Cases | Season 3 Episode 1

13 september 2021 | 62 min

Our Michael Jordan Episode | Season 2 Episode 5

2 mars 2021 | 39 min

Health Policy with Julia Raifman | Season 2 Episode 4

8 februari 2021 | 66 min

Celebrating 100 years with a look forwards and back with the D'Agostinos | Season 2 Episode 3

21 januari 2021 | 63 min

The Most Ambitious Crossover | Season 2 Episode 2

15 december 2020 | 52 min

Happy Anniversary to Us! | Season 2 Episode 1

13 november 2020 | 55 min

Why Everyone is Excited About Causal Inference These Days with Roger Peng | Episode 18

30 oktober 2020 | 59 min

Thinking About Schools Reopening From a Causal Perspective with Emily Oster | Episode 17

16 oktober 2020 | 75 min

An Ode to Generalized Linear Models | Episode 16

2 oktober 2020 | 46 min

Methodological Advances in Causal Inference with Betsy Ogburn | Episode 15

17 september 2020 | 75 min

Casual Inference Live from SER | Episode 14

24 juni 2020 | 51 min

Community Engagement, Health Disparities, and Measure Development with Melody Goodman | Episode 13

4 juni 2020 | 119 min

COVID-19, Masks, and Designing Observational Studies | Episode 12

22 maj 2020 | 35 min

Getting Bayesian with Frank Harrell | Episode 11

22 april 2020 | 57 min

Coronavirus Conversations 2 | Episode 10

9 april 2020 | 57 min

Coronavirus Conversations | Episode 09

19 mars 2020 | 71 min

Causal inference for data science with Sean Taylor | Episode 08

20 februari 2020 | 90 min

Asking harder causal questions with Whitney Robinson | Episode 07

6 februari 2020 | 80 min

Internal and External Validity with Elizabeth Stuart | Episode 06

23 januari 2020 | 98 min

Science Communication with Gideon Meyerowitz-Katz | Episode 05

9 januari 2020 | 83 min

Quantitative Bias Analysis with Matt Fox | Episode 04

19 december 2019 | 81 min

Fairness in Machine Learning with Sherri Rose | Episode 03

5 december 2019 | 69 min

Socializing about Social Epidemiology with Onyebuchi Arah | Episode 02

22 november 2019 | 58 min

Talking Target Trials with Miguel Hernan | Episode 01

8 november 2019 | 53 min

Keeping it casual: the pilot | Episode 00

1 november 2019 | 8 min

Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2

Senaste avsnitt

Optimizing Data Workflows with Emily Riederer | Season 6 Episode 8

Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7

The Art of Clarity with Andrew Heiss | Season 6 Episode 6

Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5

From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4

Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3

Causal Assumptions and Large Language Models | Season 6 Episode 2

Data Integration for Impact with Len Testa | Season 6 Episode 1

Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11

Flexible methods with Edward Kennedy | Season 5 Episode 10

What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9

Observational Causal Analyses with Erick Scott | Season 5 Episode 8

Friends Let Friends Do Mediation Analysis with Nima Hejazi | Season 5 Episode 7

Fun and Game(s) Theory with Aaditya Ramdas | Season 5 Episode 6

Cookies, Causal Inference, and Careers with Ingrid Giesinger #Epicookiechallenge | Season 5 Episode 5

Analyzing the Analysts: Reproducibility with Nick Huntington-Klein | Season 5 Episode 4

Immortal Time Bias | Season 5 Episode 3

Targeted Learning with Mar van der Laan | Season 5 Episode 2

Pros and Cons of Randomized Controlled Trials | Season 5 Episode 1

Remembering Ralph B. D'Agostino, Sr.

Evidence Science with Cat Hicks | Season 4 Episode 11

M-Bias: Much Ado About Nothing? | Season 4 Episode 10

Thinking about Targeted Learning | Season 4 Episode 9

Prevention Strategies via the #Epicookiechallenge | Season 4 Episode 8

Sensitivity Analyses for Unmeasured Confounders | Season 4 Episode 7

Randomized Controlled Trials: Efficacy versus Effectiveness, Safety vs Safetiness | Season 4 Episode 6

The Value of Instrumental Variables with Maria Glymour | Season 4 Episode 5

Methods chat about personalized medicine and positivity in causal inference | Season 4 Episode 4

Hot takes and logistic regression love with Travis Gerke | Season 4 Episode 3

Counterfactual Thinking: Biomarkers, Napster, and Ice-T | Season 4 Episode 2

Population and Biomedical Data Science with Enrique Schisterman | Season 4 Episode 1

What is the value of a p-value with Charlie Poole and Chuck Scales | Season 3 Episode 13

It Depends with Sander Greenland | Season 3 Episode 12

The Intersection of Industrial Engineering and Causal Inference with Toyya Pujol | Season 3 Episode 11

The Intersection of Machine Learning and Causal Inference with Maggie Makar | Season 3 Episode 10

Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl | Season 3 Episode 9

The history of John Snow, Cholera, and Cookies with Chris Schaich | Season 3 Episode 8

Asking questions that matter, getting answers that help | Season 3 Episode 7

A Casual Look at Causal Inference History | Season 3 Episode 6

Hanging out in the data science trough of disillusionment with Hilary Parker | Season 3 Episode 5

Metascience with Noah Haber | Season 3 Episode 4

Solving Optimization Problems in Healthcare and Disney Theme Parks with Len Testa | Season 3 Episode 3

Causal Inference and Network Science for Public Health with Ashley Buchanan | Season 3 Episode 2

Coronavirus Rapid Tests Sensitivity, Specificity, Messaging, and Use Cases | Season 3 Episode 1

Our Michael Jordan Episode | Season 2 Episode 5

Health Policy with Julia Raifman | Season 2 Episode 4

Celebrating 100 years with a look forwards and back with the D'Agostinos | Season 2 Episode 3

The Most Ambitious Crossover | Season 2 Episode 2

Happy Anniversary to Us! | Season 2 Episode 1

Why Everyone is Excited About Causal Inference These Days with Roger Peng | Episode 18

Thinking About Schools Reopening From a Causal Perspective with Emily Oster | Episode 17

An Ode to Generalized Linear Models | Episode 16

Methodological Advances in Causal Inference with Betsy Ogburn | Episode 15

Casual Inference Live from SER | Episode 14

Community Engagement, Health Disparities, and Measure Development with Melody Goodman | Episode 13

COVID-19, Masks, and Designing Observational Studies | Episode 12

Getting Bayesian with Frank Harrell | Episode 11

Coronavirus Conversations 2 | Episode 10

Coronavirus Conversations | Episode 09

Causal inference for data science with Sean Taylor | Episode 08

Asking harder causal questions with Whitney Robinson | Episode 07

Internal and External Validity with Elizabeth Stuart | Episode 06

Science Communication with Gideon Meyerowitz-Katz | Episode 05

Quantitative Bias Analysis with Matt Fox | Episode 04

Fairness in Machine Learning with Sherri Rose | Episode 03

Socializing about Social Epidemiology with Onyebuchi Arah | Episode 02

Talking Target Trials with Miguel Hernan | Episode 01

Keeping it casual: the pilot | Episode 00