A binary variable takes one of two values, typically coded as "0" and "1".

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7 views

Relative risk estimation by Poisson regression with robust error variance

To estimate RRs for binary outcomes, sometimes the Poisson regression can be used. Specially in epidemiology, when the incidence rate of the binary outcome variable is above 10%, then it's necessary ...
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1answer
77 views

Is there Factor analysis or PCA for ordinal or binary data?

I have completed the principal component analysis (PCA), exploratory factor analysis (EFA), and confirmatory factor analysis (CFA), treating data with likert scale (5-level responses: none, a little, ...
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0answers
10 views

Significance of a Dichotomous Variable vs. a Continuous Variable

I ran an analysis using the 2005 healthy eating index (HEI) score as the dependent variable and am a bit confused by my results. The HEI score ranges form 0 to 100, and categorized as bad (<51), ...
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1answer
20 views

Is there a limit proportion of 0 and 1 to fit binary data using glm (link “logit”)

In relation with my other question here where I observe a strange behavior of the residuals after fitting binary data using glm/glmer, I now wonder: Are there boundaries on the proportion of 0 (or 1) ...
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14 views

Model for predicting real value from vector of binary features

I have a population where individuals are described by a set of binary features (about 20 variables); some features are correlated, and some features imply others (i.e., if var A is positive, var B is ...
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16 views

Generalized estimating equations - Multiple binary responses per condition (spss)

I have a repeated measures design. Each participant has two visits, one on placebo, one on drug. The task has a number of conditions. 'Target' has 2 levels, MS and RNG. Within the Target condition ...
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14 views

Binary outcome estimation from n “measurements”

Assume you have a binary parameter $y$ which is either $0$ or $1$, and have $n$ measurements $\tilde{y_k}$ of it, each with a different probability $p_k$ of being correct (equal to $y$). With ...
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10 views

Generating weights with a normal distribution (Mediation analysis)

This mediation analysis regards how much of the social inequality (as a binary exposure) in long term sickness absence is mediated through physical work environment. The mediator is the logarithm of ...
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0answers
14 views

Measure relationship between continuous variable & unbalanced binary variable

I am trying to select variables for modelling a binary variable (whether a person will repay a loan) using various continuous variables about them - age, income, years of education, etc. I'd like to ...
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0answers
7 views

select the variables in the eqation binary logistic in spss [closed]

I have run binary logistic spss in order to check the significance in 9 categorical predictors in my master theses. When comes to output in the box of variables in the equation i dont know to what to ...
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0answers
9 views

What are appropriate clustering algorithms for very sparse data with a large number of binary features? [duplicate]

I have a dataset reporting the courses taken by approximately 100k students over a 2 year period. I'd like to cluster these students based on the courses they took. I’ve organized the data so that ...
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2answers
37 views

Classification, create a grey zone

I want to create a "grey zone" for a binary classifier. Grey zone means, in this zone classifier should give the result "I don't know". I denote classes with + and -. I have good tpr , but not so ...
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1answer
17 views

Test Retest of highly skewed dichotomous variables

Does anyone have recommendations on how to evaluate test retest reliability with 95% CI (individuals took the same survey 1 week apart) on data that is dichotomous (yes = 1; no = 0) where the data is ...
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0answers
24 views

Probability of getting a certain correlation by random chance

Say I have two different binary vectors (containing only 0s and 1s) with 20,000 observations in each and find the correlation between them. I'm interested in finding out if a very high correlation ...
2
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1answer
50 views

2PLM IRT modeling of rare event behavioral data: Why changing discrimination and difficulty values?

I am using the 2PLM (2-parameter logistic model) IRT model to examine how sets of very rare (negative/aversive) maternal behaviors (towards their children) are associated with a priori ...
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0answers
12 views

Habitat selection using binary data (comparing used sites to available sites)

I have a data set containing habitat data for the estivation sites of my study species, and I am trying to figure out the proper analysis to determine which features are important for them. For each ...
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0answers
12 views

Correlation between sequential binary choices

I have an experiment in which subjects perform a binary choice for each question. I want to explore the effect of n-1 choice on the nth choice. I think it has something to do with autocorrelation but ...
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0answers
18 views

Interpretation of Interaction effects in a Binary Logistic Regression

I have a series of exam practice questions on binary logistic regression, and I am struggling with one because I am unclear on how to interpret interaction effects in binary logistic regression. In ...
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1answer
34 views

Use Lasso Logistic Regression to Analyze Binary Data with

I am involved with a medical research that analyzes Coronary Artery Disease. The dataset has a couple of predictors such as age, gender, race, certain symptons and medical standard procedures to be ...
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0answers
13 views

Best neural network architecture for binary inputs and output (MATLAB)?

My input features are binary (0 and 1) and my output is binary (0 and 1). Currently I'm using patternnet function of MATLAB R2016a with default properties. Any ...
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0answers
11 views

Create clusters of higher probabilty from binary data

Good evening, I've been asked to prove that there are groups of customers who have reacted to a price increase differently, specifically do some groups have a higher probability of cancelling their ...
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3answers
244 views

Linear probability model, dummy variables and the same standard errors on all estimates

I am fitting the linear probability model, $$ Y_i=\beta_0 + \sum_{j=1}^J \beta_j G_{ji} +\varepsilon_i $$ where $Y_i \in \{0,1\}$ and $G_{ji} \in \{0,1\}$, for $j=1,\ldots,J$ and $\sum_{j=1}^J ...
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1answer
25 views

Endogenous variable Instrument

I am confused about running an iv regression My endogenous variable is a dummy variable i-e earlychildbearing=1 if ageatfirstbirth<20 My second stage equation is the standard child health ...
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0answers
9 views

How to design a fitness function for binary logic network?

Assume we have a directed graph of connected nodes, where each node represents logical operator. Input for this logic operator are values on all edges leading to the node and result is outputted to ...
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0answers
45 views

ICC for inter-rater and parallel forms reliability with binary data?

I have 3 raters which each rate every file in a randomized set of files three times. Each file is rated as either a 1 or 0. I was hoping to assess the inter- and intra- rater reliability for the ...
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37 views

Shapley value regression / driver analysis with binary dependent variable

I've done some driver importance analyses with the relaimpo package in R. However, the "normal" Shapley value regressions/driver analyses/Kruskal analyses (whatever ...
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0answers
6 views

I am analysing factors affecting commercialization status of farmers

In model output first I have got 6 significant varaibles later after I tried to predict marginal effect, all variables become insignificant. What is problem with my step and does it affect my ...
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0answers
4 views

Glm planned comparison fail to compare identical samples

I am dealing with several treatments, binary dependent variable and lots of zeros. When running a glm with pairwise comparison the model fail to compare two different treatments that have actually ...
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0answers
8 views

Negative significance between zeros in GEE-Binary logistic model

In my experiment I record individuals response (yes or no,coded as 1 or 0) to 4 different treatments, in each trial all treatment are tested and repeated 10 times each but in random order. Thus I have ...
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1answer
28 views

Specifying starting values/modes for K-modes Clustering

I have a very large data set with 9000 observations and 25 categorical variables, which I've transformed into binary data and preformed hierarchical clustering and K-modes clustering in R. ...
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0answers
11 views

Cross-classified multi-level model - application to marketing

I am working on predicting whether an individual customer will respond favourably to a marketing campaign (yes/no). I have data about customers, and their responses to previous campaigns. If possible, ...
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0answers
11 views

Excel function (or macro) for cross-correlation between dichotomous or binary (e.g., 1 or 0) variables?

I have an Excel spreadsheet with columns of different variables that are dichotomous or binary. These variables can take on values of either 1 or 0. I want to find cross-correlations between any two ...
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1answer
16 views

Can I use an ANOVA to compare success rates (binary data) from different groups?

I am trying to compare the effectiveness of 12 heuristic procedures. Therefore I am calculating the percentage of the solutions which are correct (thus binary, correct or not). To do this, I compare ...
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0answers
16 views

Instrumental variable approach when having a binary variable in first and second stage [duplicate]

I am trying to estimate an IV model where my dependent variable is on the 0-1 scale, which is why I want a Logit estimator. Further, my independent variable, which is endogenous, as well as my ...
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22 views

K-NN Binary classification with boolean features

inexperienced forum user and ML 'user'. I'm trying to shed some light on some data. The feature vector is all booleans (isMale, isAmerican, hasMac etc..) and it is a binary classification problem. ...
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1answer
34 views

Confidence intervals and standard error for binary data/proportions

I'm doing some research into degrees held by professionals of different types, based on survey data. I'd like to be able to provide confidence intervals for some of the subgroups of professionals as ...
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0answers
9 views

likert scale and binary logistic regression [duplicate]

I am working on a project trying to explain adoption of a certain technology. My dependent variable is binary (adoption/non-adoption) and i have several independent variables which are 5 point likert ...
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0answers
16 views

Sequential classification methods

I am curious to know if there are methods that exists for sequential modeling of binary outputs? Let me give an example to help further clarify the question: I have a problem where I have binary ...
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2answers
70 views

Which is more appropriate? Poisson or regular linear regression?

I am working on a project to predict a range for patient length of stay. My data consists of 215,000 rows of the following variables (30 total): LOS (length of ...
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0answers
14 views

classification for standard normal features

I have an artificial binary classification problem and I know each feature follows a standard normal distribution. For example, we have some standard normal independent features $x_1,x_2,...,x_n$, I ...
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0answers
58 views

Alternative methods for logistic regression

Usually the condition of the validity of a logistic regression is to have 10 events per predictor. In our model the binary outcome variable (1 if Healthy aging ; 0 otherwise) has a frequency of ...
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1answer
49 views

Probabilistic classification and loss functions

I am trying to compare several binary classifiers. These classifiers (Gaussian Processes in my case, but it shouldn't matter) give me probabilistic predictions. Let's introduce some notations: $$y_i ...
0
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1answer
17 views

Test for significance binary data

A test was conducted on the staff at my workplace to identify each persons lung capacity. The data we got from the tester was whether or not each person "passed" or "failed". Lets say 50 people were ...
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0answers
13 views

Correlation between binary predictor and numerical response using Linear Regression

I am trying to find correlations between several binary predictors and a continuous response variable. I am not sure what test it is supposed to work for this case, I got confused with all the things ...
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2answers
43 views

Regression with variable containing multiple entries per observation - clustering right approach?

Setting and Data I would like to run a 2-stage Hurdle regression with various variables describing the funding activity of companies (number of rounds, amount, etc). Some information on the data set: ...
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0answers
22 views

Potential multicollinearity problem between a dummy and the constant term

In an OLS regression, I need to use a variable that is equal to 0 for all observations (1636) except 3 of them. I am afraid that this may generate a multicollinearity problem with the constant of the ...
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0answers
19 views

I have estimate a fixed effects OLS model with a binary dependent variable. What could be the problems with my coefficients?

I have already estimated a model on Stata where the dependent variable is binary: coded 1 if there is ongoing war in the current period. I had previously used a logit fixed effects but was advised ...
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1answer
28 views

Statistically significant differences and relationships for binary variables

I'm trying to conduct an analysis on whether or not there is a significant difference between two populations and different attributes. Population 1 = 81 observations Population 2 = 621 observations ...
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1answer
45 views

Continuous variable vs. Nominal variables

I have a file with a continuous variable Y, and a set of 20 binary variables (yes/no). I wish to do the following two tasks: To find which of the 20 variables are related to the variable Y, i.e., ...
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0answers
42 views

Binary logistic regression: all (B) at .000? (SPSS)

I am a master's student with no stats background! In the 'Variables in the Equation' output I have the following: ...