This data as .json
| rowid | event_id | name | clean_description | location_room | start_date_clean | start_time | end_time | pre_reg_flag | paid_flag | laptop_flag | speakers_cleaned | session_type | keywords | skill_level | session_title |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 202 | 4141 | R: Models for clustered and correlated data | Basic linear regression is great, but what happens when not all of your observations are independent or you have multiple observations per subject? Take your statistical analysis skills to the next level when you learn how to measure the relationships within correlated and clustered data in R using the gee package. This session is good for: Intermediate R users who are comfortable with linear and logistic regression and want to learn more complex modeling methods. | 4 | 2019-03-08 | 2019-03-08 09:00:00 | 2019-03-08 10:00:00 | 0 | 0 | 0 | Mary Ryan, University of California, Irvine | 3 | 3 | R: Models for clustered and correlated data |