query: Controlling for baseline in pre-post between design: using $\Delta(T_2-T_1)$ or controlling for T1 in the regression model (or both)?
positive_passages.docid: 22667
positive_passages.text: Best practice when analysing pre-post treatment-control designs
negative_passages.docid: 22877
negative_passages.text: Use a baseline including all observations in lm()
negative_passages.docid: 33823
negative_passages.text: Forcing smoothness of regression coefficients
negative_passages.docid: 77384
negative_passages.text: How to test for a monotonic relationship between two variables, without assuming a specific functional model?
negative_passages.docid: 9915
negative_passages.text: Adding Interaction Terms to Multiple Linear Regression, how to standardize?
negative_passages.docid: 3998
negative_passages.text: Magnitude of standardized coefficients (beta) in multiple linear regression
negative_passages.docid: 94798
negative_passages.text: Assumptions of linear regression
negative_passages.docid: 155661
negative_passages.text: Linear regression with fixed point
negative_passages.docid: 19282
negative_passages.text: Test model coefficient (regression slope) against some value
negative_passages.docid: 2138
negative_passages.text: Modelling when the dependent variable has a "cut-off"
negative_passages.docid: 142875
negative_passages.text: Moderated regression: Why do we calculate a *product* term between the predictors?
negative_passages.docid: 22668
negative_passages.text: Linear vs. nonlinear regression
negative_passages.docid: 92434
negative_passages.text: Hat matrix and leverages in classical multiple regression
negative_passages.docid: 39272
negative_passages.text: When to use an offset in a Poisson regression?
negative_passages.docid: 68045
negative_passages.text: Explicit solution for linear regression with two predictors
negative_passages.docid: 953
negative_passages.text: Regression: Transforming Variables
negative_passages.docid: 16244
negative_passages.text: Regression when each point has its own uncertainty in both $x$ and $y$