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Binary data

Known as: Binary variable, Binary random variable, Dichotomized response variable 
Binary data is data whose unit can take on only two possible states, traditionally termed 0 and +1 in accordance with the binary numeral system and… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research
  • P. Austin
  • Communications in statistics. Simulation and…
  • 2009
  • Corpus ID: 38337743
Researchers are increasingly using the standardized difference to compare the distribution of baseline covariates between… 
Highly Cited
2007
Highly Cited
2007
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting… 
Highly Cited
2007
Highly Cited
2007
Embracing wireless interference: analog network coding
Traditionally, interference is considered harmful. Wireless networks strive to avoid scheduling multiple transmissions at the… 
Highly Cited
2007
Highly Cited
2007
Some unique properties of eigenvector centrality
Review
2003
Review
2003
Intra-class Correlation in Random-effects Models for Binary Data
We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata's xtprobit… 
Highly Cited
2002
Highly Cited
2002
An examination of indexes for determining the number of clusters in binary data sets
The problem of choosing the correct number of clusters is as old as cluster analysis itself. A number of authors have suggested… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1993
Highly Cited
1993
Modelling multivariate binary data with alternating logistic regressions
Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory… 
Highly Cited
1993
Highly Cited
1993
Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1
A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the… 
Highly Cited
1993
Highly Cited
1993
Synchronization of Lorenz-based chaotic circuits with applications to communications
A circuit implementation of the chaotic Lorenz system is described. The chaotic behavior of the circuit closely matches the… 
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