Questions tagged [binary-data]

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

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4
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2answers
1k views

Which classifiers work well with unbalanced data?

I have a binary classification problem which is very unbalanced - it can have 98% of data from one class. Which classifiers work well with this sort of data? I have an unlimited supply of training ...
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1answer
2k views

Only binary predictors -- ANOVA, regression, or other?

I am trying to fit a model to predict a quantitative response variable, using several binary variables. In particular, I am interested in measuring the relationship between one of the binary variables ...
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0answers
114 views

Creating statistically balanced teams

Suppose that you have a tournament for a game with four players on each team. We also have a table that tells us overall statistics for each player. This table includes things like each player's # ...
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3answers
7k views

Best method to predict binary outcome with multiple records per subject

I am interested in building a model to predict the binary outcome, retention (1 - retained; 0 - not retained) with various potential predictor variables (either continuous or categorical). With that ...
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1answer
1k views

R - Analyzing Relationship Between Two (or more) Binary Variables

Say I have two vectors: Action.Taken = c(0,1,0,0,1,1,0,1,0) Success = c(0,0,0,1,0,1,0,1,0) The first tells me whether or not a specific action was taken in a ...
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3answers
332 views

Test for aggregation of binary events/successes (binomial/glm??)

this has been vexing me for a while and I can't seem to solidify an answer beyond vague thoughts about Poisson distributions. I think this is a simple problem and I'm missing something obvious. Any ...
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3answers
19k views

How to deal with a skewed class in binary classification having many features?

I am doing data analysis in the mobile ad targeting domain. I have around 18 features and for a combination of these features, the result is either True or False (1/0) depending on whether the ...
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1answer
250 views

modelling data that contains only ones and zeros

I have a dataset where the predictive variables contain only ones and zeros, and the response variable also contains only ones and zeros. I would like to build a model in ...
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1answer
381 views

How to analyze two-way within subjects design with binary data

I am interested in testing how users perform on three different user interfaces. On each of the three interfaces, a person will try 12 Tasks. So each participant will do Task 1 three times, Task 2 ...
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0answers
983 views

SPSS Amos Binary Outcome - Model Fit

I was just wondering if anybody could help me, I'm conducting a path analysis in SPSS Amos with a binary outcome. I've specified the variable as binary using Tools>Data Recode, I've then calculated ...
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2answers
926 views

Best way to test for co-occurrence of measures

I have some data with temporal measures over time. I'd like to test whether two binary variables co-occur more often than chance would predict, and I'm wondering the best (simple) way to do that. The ...
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1answer
4k views

What to Do When a Log-binomial Model's Convergence Fails

There are times when one might want to estimate a prevalence ratio or relative risk, in preference to an odds ratio, for data with binary outcomes - say, if the outcome in question isn't rare, so the ...
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0answers
446 views

Regression analysis with binary independent variables [duplicate]

Should one use regression analysis when all independent variables are binary categorical (0,1) to see their effect on continuous dependent? Some suggest that regression shouldn't be used in this case.
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1answer
12k views

PCA on Binary Data [duplicate]

I having binary data set (yes/no), so can I apply PCA on that. Is it mathematically correct to do that. In my opinion Binary variable can only be subjected to logical operations, so how it can be ...
2
votes
1answer
288 views

How does eigenvalues work with binary data in redundancy analysis?

I am using the vegan package in R to do a redundancy analysis (RDA, a part of canonical correlation analysis). My response data is binary and my explanatory variables contains 0, 0.5 an 1. I get quite ...
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5answers
111k views

Is it meaningful to calculate Pearson or Spearman correlation between two Boolean vectors?

There are two Boolean vectors, which contain 0 and 1 only. If I calculate the Pearson or Spearman correlation, are they meaningful or reasonable?
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1answer
640 views

How to analyze relationship between a nominal variable (2 values) and a numerical variable (integer)?

I'm trying to find out if a nominal variable A (2 values: x and y) and a numerical variable <...
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0answers
891 views

Stratified Cross-Validation with Collaborative Filtering

My dataset consists of binary preferences ($0$ or $1$) given by users on items like this: User-ID | Item-ID | Preference If a user has not given a preference to an item, then it is not in the ...
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0answers
103 views

Implementation of semi parametric methods

Has anyone worked with semi parametric methods to estimate parameters with binary outcome? Examples are like Cosslett (1983) or Ichimura or Klein-Spady. In other words we are looking for semi ...
3
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1answer
4k views

Paired test for comparing boolean data

I have $n$ individuals, and for each individual, I have two measurements using two devices (device X and device Y). I know the ground truth for the correct measurement, and I can classify each ...
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1answer
3k views

How do you correlate binary & ordinal variables?

Which test to use to calculate correlations between them? Cramer's V, Kruskal-Wallis, or something else?
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0answers
179 views

Binary Logistic Regression – Extremely Low Log-Likelihood Value

I am a novice statistician using R. I am running a BLR to determine the probability of good or bad sites to build a structure. Each location has a composite "score" that was generated from index ...
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0answers
281 views

Comparison of point-biserial and linear correlation coefficients

I have a continuous variable X that is associated with a continuous outcome Y and a dichotomous outcome Z. If I calculate Pearson's $r$ between X and Y, and the point-biserial coefficient $r_{pb}$ ...
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0answers
97 views

Estimating the Marginal Effect of a Misclassified Binary Regressor Without Instruments

In ordinary least squares, we can use an errors-in-variables model when one or more of the regressors are measured with additive noise to ameliorate the effects of attenuation bias. We just need to ...
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1answer
1k views

Stepwise binary logit regression - help for bootstrapping in Stata

I am running a stepwise binary logit regression in Stata using 14 independent variables. Two of the independent variables are dummies (assuming a value of 0 or 1). I've tested the independent ...
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0answers
195 views

Prediction method where predictors and response variable are binary

I have a group of binary tasks performed by multiple subjects. Every task can be either performed right or wrong (i.e.,1/0). My goal is to predict the accuracy of future task given the performance on ...
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0answers
3k views

Factor analysis with binary variables using Stata 13

I am trying to do confirmatory factor analysis on data that is coded binary (0 no, 1 yes). UCLA suggests using a tetrachoric ...
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1answer
250 views

When looking at the association between binary variables, when are odds ratios better than risk ratios and vice-versa?

The Wikipedia page lists some scenarios: While both measures are useful, they have different statistical uses. In medical research, the odds ratio is commonly used for case-control studies, as ...
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3answers
24k views

Probit two-stage least squares (2SLS)

I was told that it's possible to run a two-stage IV regression where the first stage is a probit and the second stage is an OLS. Is it possible to use 2SLS if the first stage is a probit but the ...
4
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3answers
878 views

Can a nuisance multi-class classifier do better than binary classifier?

This is rather a theoretical question in order to save the trouble in trying to do empirical testing and is part of a bet, so I hope I am right... Say there are M classes in the data BUT you want to ...
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0answers
118 views

Binary logistic regression

im new to binary logistic regression. I don't know whether the test is giving me real results based on my data set. My dependent variable will be the presence of STEC in fecal samples (Presence= Yes, ...
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0answers
755 views

What is a good technique for grouping objects based on binary or dichotomous traits?

I have a set of objects each of which has a list of traits. Data on the traits is binary: an object has a trait or does not. The number of objects that I have is moderately greater than the number ...
2
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0answers
220 views

Multilevel data with correlation within subjects

I have a dataset with 1206 deputies from two different chambers (1998 and 2002, respectively). In addition, there are 18 parties, and some deputies are in both chambers (the ones who were reelected). ...
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1answer
43 views

Which test is useful to assess if a source is the same in two samples of binary data?

I am looking for a statistical test that assesses if two samples which have binary values come from the same source or from different ones. Example: I have one set that has 10 0s and 6 1s and ...
2
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0answers
820 views

Best Regression with Binary Features

I'm seeking to do a linear regression for an evaluation function in a board game. My features are all (signed) binary 1 0 0 1 -1 1 0 0 0. Mostly zeros. Around 200 to an observation. I have 10 million ...
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1answer
681 views

(very basic) One-sample test for binary data

I've repeatedly measured a continuous variable and each measure has been assigned a populational percentile range it falls into (percentile ranges were estimated for general population in another ...
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2answers
2k views

Predicting Next Likely Outcome of Binary Time Series?

I'm trying to approach the following problem: Danny & Johnny are professional basketball players. Each day they meet, and play for a while. Whoever scores the most points is declared winner for ...
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4answers
14k views

What algorithm should I use to cluster a huge binary dataset into few categories?

I have a large (650K rows * 62 columns) matrix of binary data (0-1 entries only). The matrix is mostly sparse: about 8% is filled. I would like to cluster it into 5 groups - say named from 1 to 5. I ...
2
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0answers
190 views

Modeling binary outcomes - inaccurate model when using logistic regression? [duplicate]

I am trying to model the probability of a binary outcome with the independent variable being an hour variable. I understand that linear regression is not the correct method for this type of task (I ...
2
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1answer
387 views

Making an inference from conditional probability values

Consider the following data about bulb failures (which require a filament replacement for repair) compared across three companies: ...
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1answer
1k views

Strength of association test with binary variables

I have a dataset with different purchases for two different items from the same users. So the users purchased the two items at different points in time. I also have 3 different variables: ...
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2answers
1k views

Comparing predictions from models

I'm wondering how to compare the predictions of three different models - a logit, a probit and a linear probability model - when predicting a binary outcome. I'm currently working with simulated data, ...
30
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2answers
24k views

Clustering a binary matrix

I have a semi-small matrix of binary features of dimension 250k x 100. Each row is a user and the columns are binary "tags" of some user behavior e.g. "likes_cats". ...
2
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3answers
812 views

Which analysis for a set of (0/1)binary variables alone?

I have a dataset I would like to analyze and plot It consists of 100 binary variables (0/1) for about 2,000,000 observations There is absolutely no quantitative variable, nor anything I could use as ...
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0answers
42 views

Finding range of time with best probability of positive event occurring

I have data representing a couple hundred of independent experiments. Each one contains time - how long did the experiment took and outcome: positive and negative. There is 10% of positive outcomes. ...
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0answers
482 views

Binary Classifier evaluation when Precision is more important than Recall

Problem statement A set of points is given. We want to classify those points in two distinct classes with labels $\{0,1\}$. We count the "hits" of the classifier based on the $1$ class. Assume that we ...
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1answer
187 views

Does it make any difference which class is target class in a binary classifier with balanced data?

The title says it all. If you are working on a two class classification problem with 50% of instances from each class does it matter which of the two classes is the positive class? Does the ...
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1answer
101 views

Regression of proportions

I have to regress the mortality rate which is in number of deaths per thousand and percentage of vaccinated people. Have sample data for different districts. Can I use linear regression directly. The ...
2
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1answer
119 views

Determine if an action increases the proportion of 1s in binary data with unknown population

We're trying to improve search results, and we're trying to determine if certain changes (adding a word to a synonym list, removing it from the query, etc) have a statistically significant improvement ...
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0answers
2k views

Fixed effects in a linear probability model (LPM)?

I have a dataset with about 6000 obs. in a cross sectional times series structure (countries and years). My dependent/response variable is binary and my independent/explanatory variables are a mix of ...

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