repeated measure

  1. M

    Repeated measures to predict binary outcome

    I would like to predict outcome of an event based on repeated measures. The problem is the following one: I have 100 patients with measures of a certain feature at different times, but all the patients do not have the same number of measures. The test data has been taken before knowing the...
  2. O

    How to Analyze Multi-wave Data with No Groups and "Treatment" Applied Then Removed

    I have a data set with 3 waves of data, and the final N=110. There are NO groups – i.e. everyone in the study does the exact same thing. Participants complete a survey at all 3 waves. At Survey 1 (S1) I collected a variety of baseline measures (Baseline Var A, Baseline Var B, etc.). At all 3...
  3. souha2018

    Herarchical three-level (Multilevel) generalized linear logistic regression repeated measure with nesting/crossing using glmer in R

    I have been trying to find out the most adequate glmer formula for my data but I found no example that reflects my specific structure as illustrated above. My data is dichotomous [correct/incorrect (0,1)] for vocabulary tests: So here is what I have: Subjects Response as DV Time...
  4. B

    How to build a binomial mixed model?

    I have data whose structure is seen in the image below. You see one participant's responses in the second row. M1-4 through F3-6 are trials in which a binary response was made (participant chose one of two stimuli presented on the screen). These were M(ale) and F(emale) stimuli. 1 through...
  5. R

    Comparing quantitative parameter between two groups with only one of these having repeated measures

    My question regards the best way of comparing two groups for differences in the levels of several quantitative parameters. Here, for only one of the groups there are 4 repeated measurements at different intervals. The data -We have two groups we want to compare: one consists of ~200 patients at...
  6. P

    Chi-square test for a binary outcome and beyond

    Hello Everyone, I'm quite concerned about the applicability of some non-parametric tests in the following example because it is adapted from a defended doctoral dissertation, yet there are (as I understand) technical flaws. My questions follow the example. It is a within-subject design with...
  7. D

    Kappa for binary repeated measures

    Hi! I have two raters (patient and physician) who rate the a condition at several visits. I would like to account for inter-individual correlation when I estimate kappa. And I want to assess of there is a trend in kappa. For continuous data, the the cccrm package (R) could work. I´m unsure...
  8. S

    Nested within-subjects repeated measures stats?

    Hi people, I am having some confusion over how to carry out the stats for my experiment. In the experiment, there is two condition of teaching method "prof-generated" and "student-generated" and the DV is students' quiz scores over 4 quizzes. As I carried out the experiment in a real...
  9. L

    Repeated measures when pre/post group is not independent or dependent

    Hello, I am running a pre-post study using several different instruments (e.g. 1-5 Likert scale instruments which produce a final score). It is being done to a group of employees at a hospital pre and post a new intervention approach with patients. However, as some of the questions on the...
  10. V

    The effect of a single continuous IV on within subjects change

    Could someone please suggest the most appropriate method of analysis to examine the effect of a continuous IV on a within subject (repeated measures) DV with 2 levels (pre-post)? I have a leadership intervention where we measured "leadership style" (DV) before the program and again after the...
  11. A

    Comparing categorical outcome variables in repeated measures design

    I am working on an observational prospective longitudinal study with a repeated measures design. The same categorical outcome is measured for five times, for all the participants, over a time period. So there are five outcome (dependent) variables and a few predictor variables. First of all, I...
  12. A

    Comparing proportion between categorical outcome variables, repeated measures design

    I am working on an observational prospective longitudinal study with a repeated measures design. The same categorical outcome is measured for five times, for all the participants, over a time period. So there are five outcome (dependent) variables and a few predictor variables. First of all, I...
  13. X

    How to report a non-significant main effect with significant contrasts (LME)

    Hi :wave:, Sorry for a lengthy first post, but I'm at my wits end :( I am using multilevel linear modelling with nlme's lme function to analyse a mixed design (2 categorical predictors, 1 a repeated measure with 5 levels, the other not repeated with 3 levels). From Andy Field's...
  14. D

    LMM: what effect does the repeated variable have on the model?

    When making a linear mixed model what does the repeated variable do? I want to be able to relate what I'm clicking on and the statistics that happen. Conceptually, I understand what a repeated measure is, but what is actually happening when I specify a repeated variable in the "Specify Subjects...
  15. P

    biostatistics for ordinal variable

    The study is perspective. the subject is : the effect of an intervention on antibiogram level I will have a antibiogram value at (4: for clean- 3 for a few- 2 for moderate and 1 for many bacteria) for each patient( 5 patient in every group, 10 patient in control and intervention groip)...