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

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10 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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16 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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5 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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4 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
8 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
22 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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10 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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10 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
16 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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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 ...
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12 views

K-NN Binary classification with boolean features

inexperienced forum user and ML 'user'. I'm trying to shed some light on some data. The feature vector is all booleans (isMale, isAmerican, hasMac etc..) and it is a binary classification problem. ...
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1answer
31 views

Confidence intervals and standard error for binary data/proportions

I'm doing some research into degrees held by professionals of different types, based on survey data. I'd like to be able to provide confidence intervals for some of the subgroups of professionals as ...
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8 views

likert scale and binary logistic regression [duplicate]

I am working on a project trying to explain adoption of a certain technology. My dependent variable is binary (adoption/non-adoption) and i have several independent variables which are 5 point likert ...
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15 views

Sequential classification methods

I am curious to know if there are methods that exists for sequential modeling of binary outputs? Let me give an example to help further clarify the question: I have a problem where I have binary ...
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2answers
56 views

Which is more appropriate? Poisson or regular linear regression?

I am working on a project to predict a range for patient length of stay. My data consists of 215,000 rows of the following variables (30 total): LOS (length of ...
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0answers
12 views

classification for standard normal features

I have an artificial binary classification problem and I know each feature follows a standard normal distribution. For example, we have some standard normal independent features $x_1,x_2,...,x_n$, I ...
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51 views

Alternative methods for logistic regression

Usually the condition of the validity of a logistic regression is to have 10 events per predictor. In our model the binary outcome variable (1 if Healthy aging ; 0 otherwise) has a frequency of ...
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1answer
47 views

Probabilistic classification and loss functions

I am trying to compare several binary classifiers. These classifiers (Gaussian Processes in my case, but it shouldn't matter) give me probabilistic predictions. Let's introduce some notations: $$y_i ...
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1answer
17 views

Test for significance binary data

A test was conducted on the staff at my workplace to identify each persons lung capacity. The data we got from the tester was whether or not each person "passed" or "failed". Lets say 50 people were ...
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0answers
10 views

Correlation between binary predictor and numerical response using Linear Regression

I am trying to find correlations between several binary predictors and a continuous response variable. I am not sure what test it is supposed to work for this case, I got confused with all the things ...
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2answers
39 views

Regression with variable containing multiple entries per observation - clustering right approach?

Setting and Data I would like to run a 2-stage Hurdle regression with various variables describing the funding activity of companies (number of rounds, amount, etc). Some information on the data set: ...
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18 views

Potential multicollinearity problem between a dummy and the constant term

In an OLS regression, I need to use a variable that is equal to 0 for all observations (1636) except 3 of them. I am afraid that this may generate a multicollinearity problem with the constant of the ...
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0answers
14 views

I have estimate a fixed effects OLS model with a binary dependent variable. What could be the problems with my coefficients?

I have already estimated a model on Stata where the dependent variable is binary: coded 1 if there is ongoing war in the current period. I had previously used a logit fixed effects but was advised ...
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1answer
27 views

Statistically significant differences and relationships for binary variables

I'm trying to conduct an analysis on whether or not there is a significant difference between two populations and different attributes. Population 1 = 81 observations Population 2 = 621 observations ...
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1answer
45 views

Continuous variable vs. Nominal variables

I have a file with a continuous variable Y, and a set of 20 binary variables (yes/no). I wish to do the following two tasks: To find which of the 20 variables are related to the variable Y, i.e., ...
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38 views

Binary logistic regression: all (B) at .000? (SPSS)

I am a master's student with no stats background! In the 'Variables in the Equation' output I have the following: ...
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1answer
34 views

binary logistic regression with multiple independent variables

I have a group of 196 patients. I want to know if infection(outcome) (dependent variable: infection = 1, no infection is 0) depends on other variables. I'am running a binary logistic regression with 8 ...
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1answer
17 views

Downsizing the “FALSE” (0's) events to get more more accurate predictions

I am working on a data-set with binary response and the number of TRUE events in the data is <6%. But the occurrence of the TRUE is ~10%. The accuracy of my model is low and based on the ...
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1answer
40 views

proper Similarity measure and clustering algorithm for binary data

data sample as follow : interest to find clusters of similar users, pages number around 100 pages. users around 1000 , i would like to know what are proper Similarity/dis. measure can used in this ...
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2answers
65 views

Ordinal or binomial regression?

I have designed a question and now intend to use SPSS to analyse the results: My dependent variable is: intention to vote. Yes or No. My independent variables are: a series of question ranked on a ...
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0answers
18 views

Testing for a Change in Agreement Between Paired Binary Measurements

I would like to know if there is a change in agreement between paired binary measurements from before to after an event occurred. I have two instruments, which are measuring samples from a population ...
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110 views

Modelling auto-correlated binary time series

What are the usual approach to modelling binary time series? Is there a paper or a text book where this is treated? I think of a binary process with strong auto-correlation. Something like the sign of ...
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2answers
114 views

How can one interpret the Stata output for Multiple Correspondence Analysis?

As an alternative to conducting exploratory factor analysis on a set of data, with binary responses, I have been suggested to use Multiple Correspondence Analysis (MCA). Following is a curtailed and ...
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0answers
22 views

How to test whether social network properties predict a binary outcome?

I'm looking to see if whether social network properties (such as different measures of centrality) predict a binary choice. The first part of the question is, what is the best method to do this? I ...
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1answer
56 views

How to detect multicollinearity in a logistic regression where all the dependent variables are categorical and binary?

I'm doing a multivariate logistic regression where all my independent variables are categorical and binary. I have transformed all my categorical variables into dummies in order to have reference ...
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2answers
22 views

Best way to test a hypothesis that predicts a binary result

Given: an experiment with a yes/no result no error in measurement - ie a "yes" is definitely a "yes" experiment is performed "n" times (n is largish, say 100+) a hypothesis that predicts the ...
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1answer
21 views

Statistical test for continuous predictor variable, multiple binomial response

I have a dataset with hundreds of individual trees. These individuals were from seven sites that demonstrated different rates of land cover change over time (% change in area over 30 years). I'm ...
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2answers
42 views

Variance in a binomial sequence, when successes are bunched

Imagine a randomly generated binary series, e.g.: 0011001111110101001. Now imagine that it's not entirely random, but that the 1s and 0s tend to come roughly in bunches, e.g.: ...
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1answer
32 views

Binary logistic regression: interpretation of regression coefficients

I have performed a logistic regression with whether or not an athlete was re-contracted by their sports team as the DV. One of the significant predictors of the final model was draft order (OR 0.888). ...
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19 views

Significant interaction between A and B: Can I analyze the levels of A separately to show the interaction was a coincidence?

I am doing binary logistic regression. I have a significant interaction effect between 'sex' and 'colour' on the binary response variable, but I have a strong suspicion that this is just a ...
2
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1answer
31 views

Regression coefficient interpretation in binary logistic regression

I have performed a binary logistic regression with re-contracted as the DV (not re-contracted =0, re-contracted =1). Team ladder position at the end of the year is a significant predictor. This ...
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1answer
22 views

Binary random variable, big data frame: does my approach make sense?

I have a large data frame with about 1100 columns containing integers and about 30'000 rows. The last column contains a binary random variable which attains values 0 and 1. 30% of the data frame ...
8
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1answer
277 views

Is it ever a good idea to give “partial credit” (continuous outcome) in training a logistic regression?

I am training a logistic regression to predict which runners are most likely to finish a grueling endurance race. Very few runners complete this race, so I have severe class imbalance and a small ...
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1answer
73 views

Why compare AUC's in binary classification?

I understand that a common metric for comparing binary classifiers is the AUC of the ROC curve. But, after this is computed, only one threshold is actually chosen for classifying negative and ...
0
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1answer
19 views

Fligner-Killeen test on binary data

I investigate survival until the following year (0,1) and I wish to test if the variance in survival for two or more groups are significantly different from each other. I read that the ...
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3answers
87 views

Binary time series

I have a binary time series: We have 2160 data (0=didn't happen, 1=happened) for one-hour period in 90 days. I want to forecast after these 90 days, where the next 1 will happen, and also Extend ...
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0answers
9 views

Trouble running PCA on mixed data

Hello this is a followup question concerning the PCA of a mixed data set. I try to visualize data containing numeric and binary values. This is a sample ...
2
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2answers
56 views

Models that can rank relative performance among teams?

I'm looking for help towards finding a proper model for the problem I'm facing. I have a data set of teams that face each other and have a binary outcome Win/Lose. I want to establish some sort of ...
0
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1answer
18 views

Can (how) you enter control variables in a binary logistic regression?

I'm running a binary logistic regression to test whether personality ratings (scale of 1-5) predict a binary outcome, in children. I want to enter factors such as age and gender as control variables, ...
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15 views

sample size for time dependent binomial distribution or logistical regression?

Background I have a membrane of roughly 30000 individual cells that is being flexed back and forth. After some time it fatigues and individual cells start to break. for example after 2000 times being ...