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42 questions linked to/from How do DAGs help to reduce bias in causal inference?
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I am not acquainted with Pearl's approach for causal inference. From what I have seen so far, the causality is inferred from directed acyclic graphs(DAGs). Rubin's Causal Inference Sec 7.5 proved a ...
user45765's user avatar
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34 votes
4 answers
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Directed acyclic graphs (DAGs; e.g., Greenland, et al, 1999) are a part of a formalism of causal inference from the counterfactual interpretation of causality camp. In these graphs the presence of an ...
Alexis's user avatar
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3 answers
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I first ran a regression with all the variables and then ran the regression again with only significant variables (or the variables of interest). One of the variables in the 2nd regression is highly ...
Kaptain Abid's user avatar
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12 votes
1 answer
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I am new to statistics and causality. To my knowledge, to talk about causality, one must have some sort of intervention. I knew it as "no causation without manipulation". Now I am curious: I see many ...
Chicago1988's user avatar
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4 votes
1 answer
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I am struggling to understand how/if the interaction is connected to mediation. I understand that the interaction in a regression indicates that a variable Z influences the effect of a variable X on ...
efrem's user avatar
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7 votes
2 answers
276 views

I'd like to inquire about the linear mixed model and its application to my dataset. The dataset comprises a dependent variable (DV) denoted as V, alongside three ...
TKw's user avatar
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5 votes
3 answers
386 views

I'm a Swedish PhD student in psychology looking for advice on what to read to understand linear mixed models in a longitudinal context better. We're running a RCT with two active groups and weekly ...
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Vilgot Huhn
3 votes
1 answer
3k views

I know that this question sounds familiar to some other, but I believe the responses were not clear in those and were focused on REML models. I would like to know if it is sensible to compare 2 or ...
Myriad's user avatar
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5 votes
1 answer
403 views

I hope everyone out here is doing well. I am working towards a linear regression model. I am starting out with 470 variables , most of them are demographics variables by area (zip code). My target ...
Aditya Kamboj's user avatar
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4 votes
1 answer
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I'm trying to build a linear mixed model for 5 outcome variables ... Cholesterol 1,Cholesterol 2,Cholesterol 3,Cholesterol 4,Cholesterol 5 which will be melted into a single Cholesterol variable, ...
Thomas Lordick's user avatar
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3 votes
1 answer
2k views

I am testing a mediation model for a research question using PROCESS in SPSS. While I realize Baron and Kenny (1986) would not test this model, I have read quite a bit about it not being necessary for ...
psychdoctoralstudent's user avatar
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3 votes
1 answer
1k views

. I would like to study the link between mortality (outcome and binary variable) and competition between hospitals (Predictor). The competition faced by the hospital is measured by the Herfindahl-...
Seydou GORO's user avatar
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6 votes
1 answer
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I've noticed a lot of medical research that I am involved in goes as follows: Collect data on 300-1000 patients, including all sorts of baseline characteristics such as BMI, age, gender and then ...
Paze's user avatar
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6 votes
1 answer
359 views

I'm currently working on a large prospective cohort with the basic demographic characteristics and various socioeconomic factors collected at baseline. This cohort was follow up since baseline entry ...
BOO's user avatar
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3 votes
1 answer
791 views

I want to build a linear repeated measures mixed-effects model in R. I have a sample N=105 that completed measures at two timepoints (baseline and follow-up), and small group (N= 29) that received an ...
Ann's user avatar
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