# binary outcome

1. ### Logistic regression for factorial design: interaction and main effects of treatments

Hi, This is my first post here. I'm hoping to get some help/feedback for the following hypothetical problem: I have a factorial experimental design with 4 groups: (1) Controls, (2) Treatment A, (3) Treatment B, and (4) Both treatments A and B. A total of 100 patients were randomly allocated in...
2. ### presenting the results of logistic regression with dichotomous IVs

I have a question about how to present the results of a series of 6 logistic regressions in which I have the same 2 dichotomous/binary IVs. The problem I have is that I am not sure how to organize the results. I would like to see some examples of how others have organized similar analyses. I...
3. ### How to analyze proportions from large datasets

Hello all! This question will likely reveal my lack of basic statistics knowledge, but I can't seem to find the answer in textbooks or on this forum. To wit: My grad project involves cutting fragments from leaves, and growing fungi out of them. Anywhere from 15% to 90% of fragments produce...
4. ### Binary outcome in instrumental variable analysis

I'm looking to perform an instrumental variable analysis using the following variables: I. a continuous endogenous variable (exposure levels) II. a continuous instrument variable for (I.) III. two exogenous variables (one binary, one continuous) IV. a binary outcome (outcome y/n). However with...
5. ### Compare Treatment Effects of 2 Groups - Repeated Measures & Binary Outcome

Hi, I have two groups (1:non-comorbid group, 2:comorbid group), where patients in one group have a condition that patients in the other group do not have at baseline. I want to compare risk factors among these groups on a binary outcome using longitudinal data. In other words, I want to...
6. ### correlation: "raw binary outcome" versus "summary means + confidence intervals"

My outcome is binary (success/fail) and I'm trying to correlate it with continuous variable x. Maybe I'm trying to make a distinction between correlating x with success versus correlating x with success *rate*. Here is the problem I run into. Suppose my data were: x=[0 0 0 0 0 1 1 1 1 1 2 2 2...