In broader sense - synonym of "dichotomous data": any data that can take on only one of two values. In narrower sense - dichotomous data coded as 1 or 0; furthermore, sometimes "1" is supposed to mean "is present" and "0" to mean "is absent", which may require handling the two values asymmetrically ...

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13 views

Naive Bayes - Good for Binary Data?

I have 92 observations with 92 variables. Every observation is a binary outcome (0=no, 1=yes), indicating if that observation co-occurs with a given feature in the feature set. I have 18 classes which ...
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0answers
6 views

create interaction term between binary variables in path analysis use R lavaan package

I am using R lavaan package to do a path analysis. In my model: X ~ A + B Y ~ A + B + X Both A and B are binary factors. So, in lavaan they will be treated with dummy coding. That is, A (0, 1) and B ...
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0answers
12 views

Multivariate binary time series

I have several concurrent time-series, which have binary response: Yi = (yi1, ... , yiT) where yit = 1 or 0 at an observed time t. i = 1, ...,n (where n is the total number of concurrent time ...
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0answers
17 views

How to mathematically prove that the continuous data is better for finding out the correlations than the binary data?

If I want to calculate the correlations among the components in a vector space using the MLE with a prior of multivariate Normal distribution, which kind of data should be better? the binary data or ...
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0answers
23 views

Change detection in 2D data

I have a 2D data set in which I wish to detect changes as a function of time. The x-ordinate is detector position, and the y-ordinate is time. The z-ordinate is either 0 or 1, showing the absence or ...
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1answer
20 views

Suggest analytical approach - overlapping binary IVs & continuous DV

I work at a fundraising organization that runs campaigns in different workplaces. In these workplaces our fundraising team employs a variety of tactics (prizes, events, etc.) to boost donations. After ...
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0answers
9 views

Calculate basic statistics for stream of binary data [closed]

I was reading this thread and started to think if there are any statistical tool to analyze binary data. I am mostly interested in the R project since it has good data-analysis tools for decimals ...
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0answers
10 views

Example interpretations of rank biserial correlation?

Could anyone please suggest some reading on rank biserial correlation? I have tried to Google it but I found just a general info on its application without any any example, interpretation, etc.
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3answers
172 views

Is nominal, ordinal, & binary for quantitative data, qualitative data, or both?

I'm getting wrapped around data types and I need some help: If you look at the picture above (taken from here), it has the data types like this: Quantitative (Discrete, Continuous) Qualitative ...
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3answers
119 views

Would PCA work for boolean (binary) data types?

I want to reduce the dimensionality of higher order systems and capture most of the covariance on a preferably 2 dimensional or 1 dimensional field. I understand this can be done via principal ...
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1answer
38 views

I want to generate outliers in binary logistic model

I want to generate outliers in binary logistic model What I want is: to select 3 elements of 10 elements that are randomly generated, and: if the selected value is 1 convert it to zero & if ...
2
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1answer
63 views

How to handle multiple measurements per participant, with categorical data?

I've done an experiment where I've collected measurements from a number of participants. Each relevant data point has two variables, both categorical: in fact, each variable has two possible values ...
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0answers
23 views

What DFT of finite binary sequence means

Zero component of DFT of binary data is always real and it's physical meaning is the number of 1s in the sequence. Therefore, the ampltitude of zero harmonic is the mean of the sequence. The question ...
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1answer
65 views

Visualizing relationship between independent variable and binary response

I have ~14.000 observations with an independent variable, interactions, and a dependent variable, accuracy. The accuracy can be ...
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2answers
33 views

Matrix clustering based on a Jaccard distance cutoff

I'm trying to figure out how to group elements of a binary matrix based on a given Jaccard distance cutoff. For example, suppose that I have information on the types of food carried by various grocery ...
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0answers
42 views

Analysis of adjusted proportion differences from stratified sample

I am interested in analyzing the difference in the proportion of a binary outcome in two (or more) treatment groups stratified by a categorical variable. I would have data on the number of outcome ...
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0answers
29 views

Is it possible to get a prediction interval for logistic regression via a latent variable?

carbocation asked how to compute prediction intervals for logistic regression. The answer was that prediction intervals don't make sense for logistic regression because the response variable only ...
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1answer
23 views

Analysing Binary data in a mixed design?

I ran a study with two IVs, a between-subjects manipulation Hands vs NoHands, and a within-subjects manipulation High and Low. The outcome of what participants did was recorded and then show to one ...
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0answers
32 views

Prevalence ratio in Poisson regression for Binary response variable Using R

I have a data set on stunting (Height for Age) status of children and their socio-demographic information. If I want to find the socio-demographic determinants of stunting where dependent variable ...
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0answers
22 views

How to fix a scale of latent variable measured by dichotomous indicators in SEM

How can I fix a scale of latent variable measured by dichotomous indicators in a structural equation model to estimate the mean of that latent variable? I know the mean of that variable (because I ...
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0answers
27 views

R: Binary outcome and semiparametric estimation

Consider the following model: $$ y = f(g(x_1, x_2) + \beta_3 x_3 + \beta_4 x_4) + \epsilon $$ where y is a binary outcome variable and $P(y = 1 | X) = f(g(x_1, x_2) + \beta_3 x_3 + \beta_4 x_4)$ ...
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0answers
15 views

Binary variance? Comparing two sacks of uneven coins or two heterogenous groups of people

I have two sacks of coins. In one sack, the coins are all uniform, each giving a fairly constant 0.5 chance of heads (based on tossing a few of them and also visual inspection). I then estimate the ...
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0answers
41 views

Statistically compare differences between output probabilities of two trained models

I'm using two classification models that compute output probabilistic for my out-of-sample data (MLP and SVM). I want test that ...
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1answer
98 views

Normalizing a Continuous Variable for Appropriate Use Alongside Binary Variables

I am fitting a model where I estimate my Dependent Variable based on about 20 Binary Variables (0/1), and one continuous variable. I've read about the importance of normalizing that continuous ...
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0answers
39 views

Difference between treatments with binary outcome & sample size estimation - Stata

I have 20 binary outcome variables that I want to test for association with a nominal 'treatment' variable with 6 categories (a,b,c,d,e,f). For the outcome that is significantly associated with ...
2
votes
1answer
98 views

What is the best statistical model for my binary outcome variable?

My hypothesis is: As the experimental count variable increases, the probability that the binary dependent variable equals 1 increases. I expect both the independent and dependent variables to be not ...
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0answers
20 views

How to analyse data from multiple binary decisions?

In an experiments participants will be presented with pairs of sentences and they will have to pick which of the two is closer to the way they would say things (two-alternative forced choice). There ...
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votes
1answer
45 views

Naive Bayes Binary Classification with Binary Features

I have a dataset with two classes $C_0$ and $C_1$. I have around $10$ to $20$ features that take binary values (either $0$ or $1$). My dataset has around $10000$ instances, with only a hundred of ...
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0answers
10 views

Successfully simulated physical process, matches truncated/incomplete data…now what?

What's Being Simulated I have data from a device that tests a physical process. The data are independent Bernoulli trials. Each test series yields a distribution of these trials with different N and ...
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0answers
90 views

Trained Logistic Regression returns 'NAN' for some out of sample data

I'm using MATLAB R2015a, glmfit function for training and glmval for out of sample ...
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2answers
33 views

Distribution of binary sequences?

I have two binary sequence and wanted to test if there is a similar patterns between the two. This is a completely new topic for me. Are there ways to define distribution of a binary sequence ...
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0answers
58 views

Meta-analysis - Multiple Outcome measures for the same population

Basically, I am trying to include some binary data into a meta-analysis and not sure how to include this dataset. If you look at the attached table, each red square that i drew depicts an ...
6
votes
3answers
233 views

Visualizing variability from graph

It is written in the book Applied Logistic Regression, Second Edition. By David W. Hosmer and Stanley Lemeshow , p.2 that a problem with the above graph is that the ...
0
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0answers
10 views

References regarding correlations with ranks and binary data

I have several rank variables (ranks 0-3), which can be reasonably turned into binary (significant/insignificant effect). I'm looking for potential interactions. What would be the best source to look ...
2
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0answers
50 views

In penalized regression models, should binary predictors be standardized?

It is generally agreed that in penalized regression models, such as ridge regression, the lasso, and the elastic net, one should standardize the predictors (such as dividing each by its SD) so that ...
0
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1answer
108 views

Choosing a good binary classifier to be trained by a small set of labeled data

I have a small set of labeled data (diagnosis in individual subjects): ~50 of "sick" observations ~100 of "healthy" observations In reality, only ~1% of the observations are expected to be ...
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0answers
31 views

Recode Binary to scale Variables

I'm looking to find information to recode a set of dichotomous response variables to preferable a 1-5 scale. I have several response variables which when combined with PCA clearly depict certain ...
0
votes
1answer
37 views

Interpreting Coefficients of a Dummy variables derived from an Ordinal variable

I have a variable that is measure societal complexity (SC) on a 3 point scale. 1 being the least complex and 3 being the most complex, and I think that this can safely be classed as a ordinal ...
2
votes
1answer
52 views

What does it actually mean for classes to be balanced?

I saw the following statement when reading Kuhn's APM: "The classes are fairly balanced; there are 111 samples in the first class and 97 in the second..." I thought balance would require the ...
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vote
3answers
105 views

How can I run a t.test in this situation of two processes having binary outcomes

I have two processes, lets call them A and B. I want to infer whether their population means are equal for their experimental outcomes. Both of these processes generate 1s and 0s only. That is, the ...
1
vote
1answer
165 views

Statistical test for multiple comparison of groups of animals with Yes or No outcome

In my experiment (pre-clinical vaccine testing) I want to know what kind of statistical test to be used to compare between 9 groups of animals (72 animals randomly divided into 9 groups). Each group ...
2
votes
1answer
103 views

I need both quadratic and linear coefficients in a GLM with binary response. What's the best option? [closed]

I have three predictors and one response. What can I do if my response variable is binary?
1
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0answers
57 views

Multivariate Bernoulli, Covariances for Categorical Data

I need to find outliers in multidimensional, categorical, 1-hot encoded, binary data. Data might look like, 0,1,1,0 1,1,0,0 1,1,1,0 0,1,1,1 0,0,1,0 I toyed with ...
1
vote
0answers
31 views

Is it okay to convert binary data to percentage data?

I have a within-groups study with 4 groups (400+ users). Each user answered 10 questions for each group. The answers were scored as right/wrong (1/0). Can the percentage correct for each user/group be ...
0
votes
0answers
52 views

Fleiss' Kappa alternative for inter-rater reliability with multiple answers

I have a dataset where researchers assign a binary yes/no answers to cells in a matrix. For each row more than one, but at least one, 'x' is allowed. For example, researchers 1 may code: ...
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0answers
19 views

Recommendation for type of analysis to measure whether intervention is effective

I have a dataset of about 90,000 cases. In something like 10% of these cases, an intervention was applied to hopefully bring about a specific outcome. The intervention was not equally applied across ...
1
vote
0answers
36 views

Binary classifier via Mahalonobis distance

In a recent conversation with a colleague at univerity, they mentioned that for a certain problem, we can "just use a binary classifier". When I inquired as to how they would train, they said "No ...
1
vote
1answer
23 views

Using a measure of productivity which is determined by reviewers

Apologies for the ambigious title - I wasn't sure how a problem like this is expressed. I have a small sample of 20 individuals, of which the dependent variable (of interest) is binary with 5 ...
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0answers
62 views

A binomial test with repeated measures?

I'm working on a study with a single trained animal (ie. our only participant). He is making a binary choice on a number of consecutive trials (we are essentially trying to teach him a rule -- if A, ...
2
votes
1answer
55 views

Test equality of binomial variances across four groups

I have four 100x1 vectors of binary outcomes of a particular experiment. I want to test for equality in variance across all of the four different treatment groups. At the moment I have used the ...