logistic regression

  1. R

    How to compare 2 ORs from different regression models.

    I created a logistic regression model to predict an outcome of depression vs. no depression. There are several variables in the model including gender. I then stratified the population and created 2 logistic regression models (one for women and one for men) because of interactions between gender...
  2. M

    Measurement error in binary outcome variable for a case-control study

    I am currently working on a case-control study on a rare disease using a large patient database. Using conditional logistic regression I will calculate odds ratios for different exposures in cases and controls. The validity of the records for the disease of interest (outcome) is unknown. I...
  3. E

    outcomes of surgery

    Can someone point me into the right direction I have a database of patients who have had surgery which is deemed a success or not(0,1). Each patient has a number of variables under interest before or after a date (1,2) one of 4 types of procedure ( 1,2,3,4) grade of surgeon ( 1,2,3) all of...
  4. T

    Problem using CSLOGISTIC command in SPSS

    I moved this to the SPSS section, for three reasons. (1) SPSS section more appropriate, (2) I got many views here, but not suggestions, (3) I had an insight that is a step toward a solution (but still no solution). The title of my thread in the SPSS section is "Odd warning message from...
  5. A

    Fixed term is “(Intercept)” --Dredge function

    Hi, i'm currently running a glm model in R and have attempted to use the following code: Model: resultsnew<-glm(R0A1~MP_Perc+MPHW_Perc+HW_Perc+YP_Perc+AG_Perc+Shrub_Perc+Dist_CountyRoad+Dist_PrimaryRoad+Dist_SecondaryRoad+Dist_TertFireRoad,data=secondorder,family=binomial("logit"))...
  6. A

    Use of scale () function and conflicting standardized values for fixed effects

    Hi, I'm currently using the scale() function in a glmer model (see below) and I'm having some inconsistencies between my standardized coefficient estimates from SAS and those in R. In SAS, the STDCOEF option in a generalized linear mixed model reports solutions for fixed effects in terms of the...
  7. J

    Logit regression interaction/moderation: what to do about it?

    Hi all! I have a multivariable logit regression model that has two terms showing two-way interaction (the interaction also makes biological sense.) So what am I to do about it? Do I just mention it in my findings? Do I remove one of the variables? (How do I decide which one?) I...
  8. A

    Entering interaction terms

    I am new to this site, but have high hopes that I can find some relief. I have a question regarding entering interaction terms (moderation) in SPSS. Is there a conceptual difference between entering interaction terms and main effects via direct entry (at the same time) vs hierarchically (in...
  9. B

    [Clustered Robust Standard Error] - Custering

    I am investigating the effects of age and exercise in protein expression in mouse motor neurons. I have four groups each with a limited number of measurements associated with it. Group (number of mice) Young (6) Young exercised (3) Old...
  10. L

    Logistic Regression

    Hii! I have some, I guess, pretty basic questions regarding logistic regression. I collected data and my dependent variable is, whether respondents always visit the same store (AVC=0/1). In case, respondents did not always visit the same store (AVC=0), they were asked to provide reasons for...
  11. S

    Is there a need to include fixed effects when assessing multicollinearity VIFs?

    I am currently in the progress of performing multicollinearity diagnostics for a logistic regression model using tolerance and VIF calculations based on recommendations in Allison (2012) (Logistic Regression Using SAS: Theory and Application, Second Edition). In my model I include three sets of...
  12. S

    Is this logit model a multilevel model, and what is the correct way to model it?

    I am analyzing a sample of about 6000 actions carried out by about 500 multinational companies in about 80 countries during a 6 year period. Actions are carried out randomly, and are not longitudinal measurements for the same multinational over time. The actions can be of two types (A or B). My...
  13. K

    Trying to replicate SAS Proc Logistic Code in SPSS or R

    I am an inexperienced user on R and mostly use SPSS for any statistical analysis. Recently I have been working at trying to replicate work done using the SAS PROC LOGISTIC command to create a mortality indicator model. I have tried all the logistic models available in SPSS but cannot get the...
  14. Y

    Confounder analysis for LOGISTIC regression

    Hi there, I have the following situation: I have a logistic regression analysis, in which I have 3 variables: The dependent variable- dichotomous- (complication/no complication). The independent variable- continuous variable- no. of days passed since hospitalization. The confounding...
  15. A

    Which analyzing technique?

    Im currently working on my thesis and I wonder which analysis technique to use. I have 2 dependent variables: voting choice (1 exwtreme left, 2left, 3middle,4 right,5extr right) and political participation devided into formal,informal,new participation and voting yes or no. So formal is on a...
  16. S

    Mixed-effects logistic regression model for a 10-step continuum

    Hello, I am trying understand how to correctly build a mixed-effects logistic regression model in R. I believe my model is pretty simple and straight forward but I'm lacking in experience and uncertain I'm doing it correctly. Not being a statistician and struggling with stats, the specifics...
  17. J

    Inclusion of a control variable makes a predictor significant

    I'm running a logistic regression model. The outcome is political activism (1/0) and the significant predictors (dummy variables) are education, income level and interest in politics. Age (quantitative) and Gender (1/0) are not significant. I want to see if use of certain Social Networking...
  18. M

    Multinomial Logistic Regression

    I have run a multinomial logistic regression looking to see if being a member of two different groups predicts group membership to 5 categories. I have attached the output – I am not sure if it is a problem or not if the Goodness of Fit test as zero degrees of freedom and no significance values...
  19. L

    Pairwise logistic regression - which trait is the dependent trait?

    Hi All, Could someone explain the reasoning behind choosing the dependent trait in pairwise logistic regression of two categorical traits. My hypothesis does not explicitly state which trait is the IV as I just need the relationship between traits. To word this another way, I dont understand...
  20. H

    Logistic regression vs GLMM

    Hello, I'd like to ask you for help with a choice of correct model for my analysis. Here is the problem: 1.) I should find out whether the risk of stroke after 65 age depends on gender 2.) Find out whether the association of gender with stroke depends on age 3.) Can gender effect on stroke...