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

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19 views

Modeling an indicator variable with continuous properties

I'm trying to model auction participation for a single individual. It occurs to me that their participation is binary (yes/no), but also continuous in the 'yes' case. Any general pointers for how to ...
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15 views

should i normalize for size? using roc-curve to compare classifiers

background: I plan to use a roc-curve to compare 4 classifiers. My data is made up of 2000 family members (x1, x2, ... x2000) and each member is part of a family of a certain size (y1,y2...y215). ...
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1answer
17 views

Appropriate statistic for testing similarity of two paired binary datasets (of glaciovolcanism)

I am studying the ice-covered volcanoes of the world. I have developed three methods that use existing datasets to determine whether a particular volcano is icy or not, and I applied all three methods ...
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1answer
165 views

Regression when one class occurs for middle values of a predictor

I am trying to model a process with a binary response (pass/fail). The process fails if the predictor is large or small, but in the middle it passes. The result looks something like this: I want ...
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1answer
10 views

Extended Binary Logistic regression - multinomial regression or something else?

I wonder whether you could help me decide which statistical test to use. Briefly, I am testing whether personality (Big Five) predicts problem solving, in N = 282 participants. For personality, the IV,...
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8 views

Testing paired binary data for independence

I have run an experiment where I apply two treatments to a subject. Each treatment has a binary success outcome. My results look something like: ...
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18 views

causal correlations for binary variables

Let's assume we have binary vectors where we want to find correlations and the possible causal relations between the variables in R. 1- does "Bayesian Network structure" give the correlated variables?...
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0answers
14 views

interpretation of Pearson correlation for binary variables [duplicate]

I'm doing a correlation for binary vectors in R , I had this question about interpreting the coefficient and P-value of the result. Should I interpret just based on the correlation coefficient (r-...
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2answers
35 views

Any distance measures that are more useful for binary data clustering?

I was taking a look at Clustering a binary matrix but it didn't seem to answer my question. I used a basic euclidean distance measure which definitely works but I am exploring alternative distance ...
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2answers
31 views

Visualizing a two way interaction for a binary dependent variable

I have a dataset that has two continuous independent variables, months and tenure. The target variable is binary, 1/0. I want to visualize how the events change across months*tenure. How can I do that?...
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2answers
60 views

Is there a nonparametric test available in R to test for a trend in a binary variable?

I have e.g. the following (n=14) time series data: 0,0,0,1,0,1,0,1,1,0,1,1,1,0 By looking at this time series, it is easy to see that in the first half we have more zeros than ones and in the second ...
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1answer
6 views

Determining confidence for individuals' performance

Apologies if this is ridiculously basic - I have searched the site but my vocabulary is probably too limited to be successful. I have a group of individuals performing a task with a boolean outcome - ...
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22 views

Estimating Conditional Logit using Binary Logits

The statistics package that use (Gretl) cannot estimate conditional logits. My question is: Is it possible to trick Gretl into running CL using only binary logits. I found this reference but ...
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7 views

How to compare the results from two time points in the changed group?

I’m conducting a longitudinal experiment. The purpose of the experiment is to detect relation changes among the members of group (actors). At start time point, $t_0$, I formulated some social network ...
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0answers
13 views

Binary classification. Naming of metric TP+FP/FullSet

I have not been able to find the naming of this metric; TP+FP / FullSet (TP+FP + TN+FN) [for Binary/Binomial Classification] Basically percentage of how many Predicted Positives can I find within my ...
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1answer
37 views

Classification of binary string into 0 or 1 categories

I observe a binary string that contains both 0's and 1's like this one 100111101. However the true process that created these strings are either all 1's or all 0's. Due to technical errors and ...
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0answers
5 views

sample size for longitudinal quasi-experimental evaluation

I am working on the evaluation of a proyect designed to help crime victims to overcome their experiences. My main hypothesis is that the program prevent these victims being crime victims again. Since ...
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1answer
25 views

Timeseries with binary regressors

I'm trying to identify impact of some causal events on a given timeseries. However, the trouble is I only know whether the event occurred or not (binary). What kind of techniques can I use to create ...
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5answers
245 views

Clustering of variables: but they are mixed type, some are numeric, some are categorical

I have a dataset with 15 variables. Some variables are numeric, continuous. Other variables are boolean, dichotomous (true/false). There's also one variable categorical, nominal. ...
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0answers
15 views

Learning from Multiple Naive Annotator's Presence (and their labels as Y)

Although I am new to the forum, I have been following for several years and wanted to begin by sincerely thanking everyone, from the administrators to the members, for creating such an amazing ...
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38 views

Decontaminating the training data set - any idea why it works?

TL;DR I have to decontaminate a training data set that includes irrelevant observations that will harm the quality of any statistical estimation and inference. It is of course initially unknown which ...
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1answer
20 views

Classification when variables are observed as a group

How do I classify variables when the classifying binary output is known only for groups of variables? Here is a concrete example: a person eats different types of foods on different days, and she ...
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1answer
32 views

Vector Outcome Logistic Regression

Question: What model (Likelihood/prior family) is appropriate to use when attempting to do inference on a vector of boolean outcomes given continuous factors? Elaboration: I am only aware of ...
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1answer
22 views

Implementation of sequence of binary random variables in r

I am trying to implement a random variable in R, and I want to generate a sample from it. The random variable looks like this: we have $P(X_{n}(\omega)=\frac{n}{n+1})=0.5$ and $P(X_{n}(\omega)=(-1)^{...
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1answer
56 views

How to compute the AUROC for a single categorical variable

I am building new features for a binary classifier. The new features fall into two categories: categorical and ordinal. An example of the first feature would be the colours ...
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1answer
39 views

Find the relationship between multiple binary variables

I have a data set which includes 5 binary variables per row of data. I was planning on creating a logistic regression to use 4 of the variables to predict the 5th and measure the significance (if any) ...
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1answer
34 views

What should I say and explain about a negative constant in binary logistic regression?

I am finishing my undergraduate thesis and I was asked this problem of negative constant in my examination. So I am trying to find out how to explain what to say in regard to the negative constant. In ...
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9 views

ID3 algorithm for binary values

my data is strictly based on binary values..Is it possible to apply ID3 algorithm on binary data... i want to partition my data using tree..i have read kd tree, binary decision diagram, ordered binary ...
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22 views

Combining binary classification algorithms

I have several algorithms which solve a binary classification (with response 0 or 1) problem by assigning to each observation a probability of the target value being equal to 1. All the algorithms try ...
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0answers
20 views

Binary logistic regression to correct OR for mortality associated with a condition

i'm analyzing the results from a 20 patients prospective study and what i'm trying to do is to correct the odds ratio for bad outcome associated with the presence of atrial fibrillation for the ...
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1answer
31 views

Poisson regression with robust error variance - cross sectional study

To estimate RRs in a statistical model with a binary outcome, sometimes the modified Poisson regression can be used (proposed by Zou). Specially in epidemiology, when the incidence rate of the binary ...
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1answer
390 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
19 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
25 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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18 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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26 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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16 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 $k=1,..,...
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1answer
69 views

Generating weights in 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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23 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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2answers
41 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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33 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 (.9-...
2
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1answer
75 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
13 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
14 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
26 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
51 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
29 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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12 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
247 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 G_{ji}=...