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Tests in short supply? Try group testing

Bilder, Christopher R.; Iwen, Peter C.; Abdalhamid, Baha; … - In: Significance 17 (2020) 3, pp. 15-16

Persistent link: https://www.econbiz.de/10012280668

Two-Stage Hierarchical Group Testing for Multiple Infections with Application to the Infertility Prevention Project

Tebbs, Joshua M.; McMahan, Christopher S.; Bilder, … - In: Biometrics 69 (2013) 4, pp. 1064-1073

Persistent link: https://www.econbiz.de/10010722386

Informative Dorfman Screening

McMahan, Christopher S.; Tebbs, Joshua M.; Bilder, … - In: Biometrics 68 (2012) 1, pp. 287-296

Persistent link: https://www.econbiz.de/10010683960

Group Testing Regression Models with Fixed and Random Effects

Chen, Peng; Tebbs, Joshua M.; Bilder, Christopher R. - In: Biometrics 65 (2009) 4, pp. 1270-1278

Persistent link: https://www.econbiz.de/10010948141

Group testing in heterogeneous populations by using halving algorithms

Black, Michael S.; Bilder, Christopher R.; Tebbs, Joshua M. - In: Journal of the Royal Statistical Society Series C 61 (2012) 2, pp. 277-290

Persistent link: https://www.econbiz.de/10010543707

Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm

Wang, Naichen; Wang, Lianming; McMahan, Christopher S. - In: Computational Statistics & Data Analysis 83 (2015) C, pp. 140-150

The Gamma-frailty proportional hazards (PH) model is commonly used to analyze correlated survival data. Despite this model’s popularity, the analysis of correlated current status data under the Gamma-frailty PH model can prove to be challenging using traditional techniques. Consequently, in...

Persistent link: https://www.econbiz.de/10011117690