logistic regression

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    bootstrapping and predictive logistic model

    Hello members. I don't have experience with programming in Stata, then, please, I need help with this: I am developing a predictive logistic model. The regression coefficients were selected using the stepwise method: . xi: sw, lr pe(.05 ) pr(.051) lockterm1: logistic depvar (var1...
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    Logistic regression with interactions

    Hi, I've asked this question already on another forum, but nobody has been able to answer, so I try it here. Because of my inexperience with formatting in this environment instead of posting it here, I simply provide you with a link...
  3. M

    logistic regression predicted values and confidence interval

    Hello I have run a logistic regression with two independent variables. I have used transformed my y(sales) and my x1(population) and x2(water). I have my output in excel and i'm fine with the model. What I need help with is the equation for predicting values and for getting a range of...
  4. R

    Logistic Regression: interpreting an interaction term

    Dear Forum, This topic has been covered a lot here and in other forums, but I have yet to find a clear answer to this particular problem. I'm trying to understand how to interpret the odds ratio of an interaction between a categorical variable with 6 levels (6 similar products) and a...
  5. M

    Logisti regression, mean or median of independent variable.

    Greetings great minded statisticians! I have an issue categorizing my continuous variable. I have put a continuous variable with a negative skew, into three categories. I am using logistic regression and I want to see if my three variables of omega-3 fatty acids will reduce the risk of being...
  6. M

    Reading Binary Logistic Regression results

    Hi! Need some help on Binary Logistic Regression results interpretation. 1) On Block 0: Begining Block i have overall percentage of 76%, but after adding the independent variables in Block 1 i still have 76%. Does it mean the independent variables do not predict the dependent variable...
  7. S

    Bayes Factors using BIC statistic (model selection)

    Hi, I need to compare four different models (logistic regression), model selection is performed using bayes factors using the BIC statisic. BIC can be transformed to the probability of the data given a model: PrBIC(D|Hi) = exp[-BIC(Hi)/2] And so, we can compute the Bayes factors...
  8. S

    Mixed effects logistic Regression

    I have what I believe is a mixed effects logistic regression. My outcome is injury (y/n) and I have subject level (age, gender, smoking) and Class level ($ Funds, instructor experience, etc.). I am trying to preduct injury based on the subject AND class level data. My outcome is by subject...
  9. S

    Logistic Regression (very small proportion of 'yes')

    Hi Everyone, I am working on a logistic regression problem (injury [y/n] predicted by air temperature and physical training program). Problem is that only 1.2% of the entire 10000 sample had an injury, and this 1.2% is almost equally distributed between the 2 pt programs. I am investigating...
  10. S

    Logistic Regression with Mixed effects

    I have a logistic regression setup: Outcome = injury (y/n); predictors that are subject specific are gender, age, smoking, and predictors that are class level are $ funds, instructor experience, etc. I want to be able to predict injury based on the subject AND class level data. My setup is...
  11. M

    SPSS - Logistic Regression - Continuous independent and moderating variables

    Hi, I'm trying to analyse the relation between 4 independent variables and 1 dependant variable (yes=1, no=0), using Logistic Regression, in SPSS. Also, i'll add 5 moderating variables. I have several doubts about that: 1) My independant variables are all continuous. I must group them into...
  12. S

    One population, two sampling methods, how many logistic regression models?

    Can I include an explanatory variable that stratified the population in model? I have 400 randomly selected urban households. I have 400 rural households selected from 15 villages census style. Food insecurity (dichotomous) is my outcome variable. I want to find determinants of household food...
  13. M

    Group Size for Binary Logistic Regression

    I am trying to determine the odds ratio for the effect of C on A. However, my is a sample of n = 45 with 4 = yes and 41 = no. Is this small group size a major issue, and how do test for power in this case? THANKS!
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    interaction plot in logistic regression

    Dear All Hi I am Amir from Iran where we have no a well know psychologist especially in quantitative. I am working on a data with a dummy variable as dependent variable (BEH) and a continuous variable as independent variable (COP). Moreover I have a moderator variable that is continuous (Q3)...
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    Binary Logistic SNAFU

    Hello, I'm curious if I have coded my variables incorrectly for an analysis. Here's a brief explanation: Independent variables: X1: temperature (ordinal: 10 or 4 degrees C) X2: treatment group (categorical: exposed to pathogen or not) X3: sex (categorical...) X4: index of body...
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    Can I calculate covariation for binary logistic output from SPSS

    Hi, I am using SPSS to identify moderation relationships. I am using binary logistical regression when the outcome variable could not be transformed to normal, so have recoded into high and low groups. I am then using a very cool program I found on the internet to graph the moderation...
  17. A

    Logistic regression with dummy variables and regular variables

    Hello. My logit regression for a sample of 182 has 4 significant explanatory variables. One of these variables is a dummy variable and the rest are regular ratio type data point variables. Given this, how do I interpret my grand mean and intercept term? And how do I interpret the coefficient...
  18. S

    Binary Logistic Regression with categorical predictors and interactions.

    I'm new to logistic regression and the project I'm working on requires a model that involves two predictors: Experimental condition (categorical variable with 8 categories) Score on a measure (continuous variable) So, one categorical predictor and one continuous predictor. But, these two...
  19. C

    Lagged independent variable (Stata)

    Hello, I'm currently working with a company dataset in the form of an unbalanced panel (overall sample size: 1.300 company years, T: 10, X: ~170 different companies). One of two strategic types was assigned to each of the company years. To get a better understanding, why companies are...
  20. K

    Binary Logistic regression - Interaction containing more than 2 groups

    Hello, I am running an Interaction which contains more than two groups, for example, the day of the week (monday, tuesday and so on). When this Interaction is created with another IV (covariate), should this day_of_the_week variable be set as categorical? I looked online, a lot of blogs...