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

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5 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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10 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
31 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
20 views

Factors for binary variables [on hold]

Is it necessary to convert binary variables to factors? Or should I do it only if I have categorical (>2 levels) vars? Also, does it depend on whether a binary variable is a predictor or a response ...
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4 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
21 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
215 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
14 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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0answers
34 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
18 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
19 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
44 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 ...
2
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1answer
34 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) ...
2
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1answer
33 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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0answers
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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16 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
19 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
22 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
257 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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18 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
24 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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0answers
17 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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20 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
67 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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20 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
39 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
29 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-...
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1answer
72 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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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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20 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
41 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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21 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}=...
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1answer
28 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
10 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
55 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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41 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
5 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
11 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
38 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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13 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
16 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
21 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 ...