binary variable
Confounding of Three Binary Variable Counterfactual Model with DAG
... confounding variable (the precise defi- nition of a confounder) is a variable which is a common cause of both the control variable and the response vari- able [14] (see Figure ...covariate ...
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knnAUC: an open source R package for detecting nonlinear dependence between one continuous variable and one binary variable
... To further detect the nonlinear dependence between one continuous variable and one binary variable, an open- source R package (knnAUC, https://sourceforge.net/pro- jects/knnauc/) was developed. In ...
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Misclassification in Binary Choice Models with Sample Selection
... however, binary data are frequently misclassified. Misclassification of a binary variable means that an observation with a true value of 0 is observed as 1 or an observation that is truly a 1 is ...
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The impact of the experience of childhood poverty on adult health-risk behaviors in Japan: a mediation analysis
... It should be noted, however, that our measurement of childhood poverty had some limitations. First, it was not fully free from recall bias, because the parental SES vari- ables were based on the respondents’ ...
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Predictors of anemia in pregnant women residing in rural areas of the Oromiya region of Ethiopia
... The variable for antenatal care visits was coded as a binary variable for whether they have sought antenatal care ...A binary variable was created for whether they received any home ...
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Effect size measures for multilevel models: definition, interpretation, and TIMSS example
... pendent variable, and so are not comparable across studies or among multiple variables within a single ...a binary variable, as a meas- ure of effect size for a binary covariate in a ...
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Who needs credit and who gets credit? Evidence from the Surveys of Small Business Finances
... dependent variable Applied for Credit is a binary variable that takes on a value of 0 if the firm applied for credit and was extended or denied credit and a value of 1 if the firm was discouraged and ...
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Gendered effects of work and participation in collective forest management
... Table 3: Description of Dependent and Explanatory Variables Variable Description Participation indicators – Dependent variable meetings Binary variable where 1 indicates if respondent at[r] ...
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The Fed's TRAP: A Taylor type Rule with Asset Prices
... the algorithm is based on ex post US real estate prices, the peaks and troughs are obtained recursively, i. e. by using only data up to the corresponding real-time data point. The resulting binary variable ...
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Familial Relationship of Migrants and Remittances Behavior: Theory and Evidence from Ecuador
... where aijf is a binary variable which takes the value of one or zero for the migrant decision to remit or not to remit and, conditional on the sending of remittances, it measures the ann[r] ...
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Survey Of Recent Developments In Utility Based Data Mining
... Data mining allows the discovery of knowledge and patterns potentially useful and unknown. Whether the knowledge discovered is useful, is very subjective and depends upon the application and the user. Traditional ...
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What Drives Innovation?: Inferences from an Industry Wide Survey in Nigeria
... Measured via a binary variable taking value 1 if firm uses the internet and 0 otherwise and a quantitative variable giving the percentage of staff with access to internet facilities in t[r] ...
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Financial Illiteracy and customer credit history
... each variable separated by individuals with a derogatory mark and those without ...a binary variable indicating if the individual had a derogatory mark in SPC or Serasa in the last 12 months; ...
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No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
... The probability of separation occurring increases with decreasing sample size and increasing number of covari- ates. Hence, separation is likely to occur in low EPV data sets. In simulation studies, including those that ...
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The Effects of Code-Switched Advertisements on Hispanic Consumers’ Attitudes and Purchase Intentions
... In Table 5, within factor 3, the variable safe has a comparatively high loading of 0.7 and other variables all have loadings lower than 0.4; it is the only factor satisfying these two conditions. The proportion of ...
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Latent variable models for binary response data
... There has been little discussion about the magnitudes of the standard deviations of estimated parameters for commonly used latent variable models. This may be due to the fact that no simple closed formulae exist ...
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Reactive Power Optimization Using Differential Evolution Algorithm
... In recent years, the problem of reactive power optimization (RPO) for voltage control and for reducing power losses has received much attention [5]. The main objective of RPO is to improve the voltage profile and ...
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PL1 80 Language Manual Dec80 pdf
... In each case, fname is a file variable or file constant, x is a connected aggregate or scalar data type which is not CHAR VARYING, and k is a FIXED BINARY key value o,r variable.. Again,[r] ...
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The Galah survey: classification and diagnostics with t-SNE reduction of spectral information
... bands, binary stars, H α/ H β emission, H α/ H β emission superimposed on absorption, H α/ H β P-Cygni, H α/ H β inverted P-Cygni, lithium absorption, and ...
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The determination and measurement of functional disability in rheumatoid arthritis
... latent variable functional ability, so we are forced to accept surrogates like HAQ score or functional scores from the Medical Outcomes Study Short Form 36 [3,4] or Arthritis Impact Measurement Scales ...
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