Binary response
Endogeneity in semiparametric binary response models
... the binary response model the parameters of interest in semi- and nonparametric binary response mod- els are not identified in general under the standard IV assumption (see Blundell and Powell ...
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Advancing implementation conditions of optimal experimental design for dual response systems using one continuous response and one binary response
... dual response optimal designs for cases involving experiments with one continuous response and one binary ...and binary response ...and binary cases is ...
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A penalized likelihood estimation approach to semiparametric sample selection binary response modeling
... the response variable is Gaussian [5, 16, 11, 22, 25, ...the response is ...selection binary response model are those presented in [8, 3, ...two binary regression models for the ...
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A penalized likelihood estimation approach to semiparametric sample selection binary response modeling
... the response variable is Gaussian [5, 16, 11, 22, 25, ...the response is ...selection binary response model are those presented in [8, 3, ...two binary regression models for the ...
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An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data
... each DGP, eight different MGPs are simulated to cover different types of missingness patterns. For each data set, the variables are generated sequentially in the order of the predictors, the response and the ...
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Sample size re-estimation in paired comparative diagnostic accuracy studies with a binary response
... distributed response var- iables [7–11], some of which provide mechanisms to maintain blinding in the study [8 – ...with binary response vari- ables [12, 13], and mechanisms to maintain blinding have ...
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Development of a simple binary response questionnaire to identify airflow obstruction in a smoking population in Argentina
... simple, binary response scale (yes/no), screening questionnaire, was developed for the identi fi cation of patients with chronic obstructive pulmonary disease ...
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Numerical construction of parameter maximin D optimal designs for binary response models
... the binary response model [see Kalish and Rosenberger (1978), Abdelbasit and Plackett (1983), Minkin (1987), Sitter and Fainaru (1997) among many ...
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On the Comparison of Some Link Functions of Binary Response Analysis Under Symmetric and Asymmetric Assumptions
... Abstract: Binary response analysis is modeled when the response variable is nominal and as such violates the use of the ordinary linear regression ...categorical response regression model ...
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Optimal test design for binary response data: the example of the fish embryo toxicity test
... response curve. When developing an optimal design for small effect detection, it should be recalled that the FET is used in laboratory experiments, which gives full control over the experimental conditions, i.e. ...
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Sample size re estimation in paired comparative diagnostic accuracy studies with a binary response
... Table 2 – Mean sample size S.D., bias, coverage and RMSE of simulated sample sizes with varying interim sample size estimates and true levels of 𝑇𝑃𝑃𝑅 when 𝑇𝑃𝑅𝐴 = 0.9, 𝑇𝑃𝑅𝐵 = 0.81 and Pre[r] ...
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Latent variable models for binary response data
... The main result was that for a fixed test length, sample size has a small influence on the accuracy of the ability parameter estimates, while the effect of decreasing the number of items is pronounced. Correlations ...
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Multiple Imputation of Missing Data: A Simulation Study on a Binary Response
... The aim of the present study is to explore the impact of multiple imputations by chained equations on logistic regression coefficients depending on the proportion of missing data that we[r] ...
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Circular Statistical Approach to Study the Occurrence of Seasonal Diseases
... In this paper, we aim to analyse the occurrence of seasonal diseases in the Kamrup (rural) district of Assam during the years 2013 and 2014. This leads us to work with a censored circular sample containing only the ...
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Empirical Bayesian Method for the Estimation of Literacy Rate at Sub-district Level Case Study: Sumenep District of East Java Province
... for binary response variable has been developed by some researchers, such as SAE model applied to survey data in health sector which is based on combination of unit and area using hierarchical Bayesian ...
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A Statistical Study of Socio-economic and Physical Risk Factors of Myocardial Infarction
... (a binary response variable) like smoking, hypertension, cholesterol, diabetes, family history, residence, own a house, number of dependents, household income and lack of exercise ...of binary ...
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Local binary regression with spherical predictors
... a binary response and a directional predictor by means of nonparametric regression methods seems to be unexplored, while for a para- metric approach see Fernandes and Cardoso (2016) and references ...The ...
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A survey of birth order status of students studying for medical degree at the University of Sheffield.
... The primary analysis of overall response was estimated by a standard fixed effects meta-analysis approach for a single binary response with the overall response and phase summarised by a F[r] ...
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Spinal arthritis in cane toads across the Australian landscape
... the binary response variable, latitude and year of establishment as additive factors and then year of establishment and snout-urostyle length as interactive predictive ...
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Misclassification in Binary Choice Models with Sample Selection
... Abstract: Most empirical work in the social sciences is based on observational data that are often both incomplete, and therefore unrepresentative of the population of interest, and affected by measurement errors. These ...
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