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Communications for Statistical Applications and Methods 2019;26:79-238
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Selection of markers in the framework of multivariate receiver operating characteristic curve analysis in binary classification
Sameera G, Vishnu Vardhan R
Communications for Statistical Applications and Methods 2019 Mar; 26(2):79-89
Estimation on a two-parameter Rayleigh distribution under the progressive Type-II censoring scheme: comparative study
Jung-In Seo, Byeong-Gyu Seo, Suk-Bok Kang
Communications for Statistical Applications and Methods 2019 Mar; 26(2):91-102
A review of analysis methods for secondary outcomes in case-control studies
Elizabeth D. Schifano
Communications for Statistical Applications and Methods 2019 Mar; 26(2):103-29
Inference for exponentiated Weibull distribution under constant stress partially accelerated life tests with multiple censored
Said G. Nassr, Neema M. Elharoun
Communications for Statistical Applications and Methods 2019 Mar; 26(2):131-48
Simultaneous outlier detection and variable selection via difference-based regression model and stochastic search variable selection
Jong Suk Park, Chun Gun Park, Kyeong Eun Lee
Communications for Statistical Applications and Methods 2019 Mar; 26(2):149-61
Phase II two-stage single-arm clinical trials for testing toxicity levels
Seongho Kim, Weng Kee Wong
Communications for Statistical Applications and Methods 2019 Mar; 26(2):163-73
Item sum techniques for quantitative sensitive estimation on successive occasions
Kumari Priyanka, Pidugu Trisandhya
Communications for Statistical Applications and Methods 2019 Mar; 26(2):175-89
Goodness-of-fit tests based on generalized Lorenz curve for progressively Type II censored data from a location-scale distributions
Wonhee Lee, Kyeongjun Lee
Communications for Statistical Applications and Methods 2019 Mar; 26(2):191-203
Bayesian hierarchical model for the estimation of proper receiver operating characteristic curves using stochastic ordering
Eun Jin Jang, Dal Ho Kim
Communications for Statistical Applications and Methods 2019 Mar; 26(2):205-16
A tutorial on generalizing the default Bayesian t-test via posterior sampling and encompassing priors
Thomas J. Faulkenberry
Communications for Statistical Applications and Methods 2019 Mar; 26(2):217-38