Questions tagged [binary-data]

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

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Can a categorical variable be divided by a numerical variable?

I am reading P.R. Rosenbaum, Model-based direct adjustment, Journal of the American Statistical Association, 1987 (82), pp. 387-394. However, there is one equation, which I can't understand.  d = \...
5k views

Inverse probability of treatment weighted (IPTW) estimator for a binary outcome

Recently, there are several estimators have been proposed to estimate the average treatment effect (ATE) in observation studies, such as IPTW, doubly-robust estimator, etc. It fully makes senses to me ...
366 views

Discretize frequency of words that follow zipfian distribution

How could I discretize the frequency of words found in a corpus that follow a zipfian distribution? Are there standard methods? It should create bins of exponential-increasing size. My goal is to ...
2k views

Canonical correlation analysis with continuous and binary data

I came across interesting article on application of canonical correlation analysis (CCA). Authors apply classical CCA on a mixed variables dataset (both independent and dependent sets include ...
199 views

How can I compare my model to a technically invalid model?

I've created nice little nonlinear model relating survival probability to length in salmon. I fit it assuming binomial errors and minimizing the negative log likelihood. I've been asked to compare it ...
19k views

Measuring entropy/ information/ patterns of a 2d binary matrix

I want to measure the entropy/ information density/ pattern-likeness of a two-dimensional binary matrix. Let me show some pictures for clarification: This display should have a rather high entropy: ...
52k views

Why is gender typically coded 0/1 rather than 1/2, for example?

I understand the logic of coding for data analysis. My question below is on the use of a specific code. Is there a reason why gender is often coded as 0 for female and 1 for male? Why is this coding ...
18k views

What is the effect of dichotomising variables?

When dichotomising variables, what information is lost in the process? How does a dichotomisation help in the analyses?
49k views

Doing principal component analysis or factor analysis on binary data

I have a dataset with a large number of Yes/No responses. Can I use principal components (PCA) or any other data reduction analyses (such as factor analysis) for this type of data? Please advise how I ...
2k views

Local polynomial (linear) regression of binary data — logit transformation?

I got a bit confused about how to fit a local polynomial to binary outcomes if I would rather approximate the underlying index (within a link function) instead. (Basically for the same reason why ...
7k views

Forecasting binary time series

I have a binary time series with 1 when the car is not moving, and 0 when the car is moving. I want to make a forecast for a time horizon up to 36 hours ahead and for each hour. My first approach ...
4k views

How to perform regression on a nominal variable using many binary explanatory variables?

I have a dataset: Response: categorical, 9 levels. 23 predictors: binary, with many 0's. Number of samples: 64. I'm interested to know the dependence of (each level of) the response on predictors. ...
145 views

Proving significantly better performance in binary forecasting

I have two different algorithms that make forecasts for binary events. The observed result can either be 1 or 0 (like "rain" or "no rain"). The algorithms usually give a forecast in the 0.4-0.6 range. ...
609 views

Assessing statistical significance of a rare binary event in time series

I have a univariate time series which is an index of susceptibility to failure, and a binary variable which indicates whether a failure actually occurred in a given time window or not. I want to carry ...
254 views

How to test component failure in a general way?

Let's say I have 100 parts. I sample one part and find it defective. I then sample another five parts and do not find them defective. What statistical procedure would I use that combines this ...
1k views

Analyzing (hierarchical?) clustered pair-matched binary data

We teach supplementary lessons in nearly two dozen local schools, and have two data sets of approximately four hundred records each from pre-post tests given at these schools. Each record contains pre ...
12k views

Generate random correlated data between a binary and a continuous variable

I want to generate two variables. One is binary outcome variable (say success / failure) and the other is age in years. I want age to be positively correlated with success. For example there should be ...
6k views

Assessing and testing inter-rater agreement with kappa statistic on a set of binary and Likert items?

I am trying to calculate inter-rater reliability scores for 10 survey questions (on which there were 2 raters)--seven questions are binary (yes/no), and 3 are Likert-scale questions. Should inter-...
20k views

How to calculate SE for a binary measure, given sample size n and known population mean?

Lets say there is population of measurements X, and 50% of those X = 1, and the the other 50% = 0. Therefore, population mean = 0.5 given a random sample of size n, how do you determine the SE of ...
7k views

Recommended procedure for factor analysis on dichotomous data with R

I have to run a factor analysis on a dataset made up of dichotomous variables (0=yes, 1= no) and I don´t know if I'm on the right track. Using tetrachoric() I ...
1k views

Multiple comparisons with binary data: Hsu's MCB method

Given a factor with a number of levels, say for example, versions of a banner advertisement on a web page, where the measurement of interest is the click through rate (# clicks / # of times banner add ...
12k views

Calculating significance of difference between two binary values on one dataset

Suppose my sample comprises 350 instances. Each instance has two independent binary (pos and neg) evaluations, A and B. If my ...
2k views

Whether to use factor analysis based on binary multiple response data?

I have a survey where I have asked people which type of computer games they enjoy and whether they consider themselves a hardcore gamer. I allowed people to select multiple genres, but now I am unsure ...
8k views

For a classification problem if class variable has unequal distribution which technique we should use?

for eg. if I have a class variable credit scoring with two classes good and bad, where #(good) = 700 and #(bad)= 300. I do not want to shorten my data. which technique I should use? I was using SVM ...