Overview
This page is dedicated to the Book Club I organized for the PhD students in epidemiology at Aarhus University, Department of Clinical Epidemiology (Klinisk Epidemiologisk Afdeling, KEA) and everyone who is interested in causal inference, epidemiology, statistics, or intersection of these amazing sciences. If you’d like the the calendar invitation to be shared with you by email, please, send me a short e-mail with the topic “The effect book club”.
Find The Effect book online.
Agenda
| Chapter | Date | Notes | Links |
|---|---|---|---|
| Chapter 1. Designing Research + Chapter 2. Research Questions | 27 May, 2022 10am-11am CEST | Recap, discussion, confirming organizational details and setting a welcoming mood for all | Click here to join the meeting. Please note, people outside of Aarhus University will be directed to the lobby first. No worries, I’ll admit you shortly. |
| Chapter 3. Describing Variables | 10 June, 2022 10am-11am CEST | Recap, discussion, scheduling Chapter 4+5 session | Click here to join the meeting. |
| Chapter 4. Describing variables + Chapter 5. Identification | 24 June, 2022 10am-11am CEST | Recap, discussion, scheduling Chapter 6+7+8 session on 12 August, 2022 10am-11am CEST | Click here to join the meeting. |
| Chapters 6. Causal diagrams + 7. Drawing causal diagrams + 8. Causal paths and closing back doors | 12 August, 2022 10am-11am CEST, 2022 | Recap, discussion, scheduling Chapters 9+10+11 session | Click here to join the meeting. Setting date for the next meeting |
| Book Club is currently on pause |
Other materials
- Chapter 1: We talked about well-defined research questions and exposures, different types of data and what it means to have “an answerable” research question. Remembered this paper on setting your causal question straight: https://ncbi.nlm.nih.gov/pmc/articles/PMC5888061/
- Chapter 3: We talked about variables distributions, took a note of nice data viz ideas and do’s/dont’s https://clauswilke.com/dataviz/visualizing-amounts.html
- Chapter 4: We played a game http://guessthecorrelation.com/
- Retire NHT:
* Selection bias:I am teaching intro to epidemiology concepts to research year students at @DCEAarhus. One of the topics I mention is retiring null hypothesis testing. Here are some of my favorite materials on abolishing null hypothesis testing/p-value misinterpretation⤵️
— Elena Dudukina @evpatora@mastodon.social (@evpatora) August 29, 2022
1/n #IYKYK #epitwitter
Couldn't agree more 😆
— Miguel Hernán (@_MiguelHernan) September 21, 2022
Great thread on #selectionbias by Elena Dudukina.
An up-to-date compilation + comment of papers on this topic, from decades ago to last week. https://t.co/zWqIy6KEat