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Journal of Applied Statistics|July 12, 2023
The efficient design of Nested Group Testing algorithms for disease identification in clustered dataAna F Best, Yaakov Malinovsky, Paul S AlbertThe American Statistician|January 3, 2017
A Note on the Minimax Solution for the Two-Stage Group Testing ProblemYaakov Malinovsky, Paul S AlbertThe American Statistician|December 10, 2019
Revisiting Nested Group Testing Procedures: New Results, Comparisons, and RobustnessYaakov Malinovsky, Paul S AlbertBiometrics|September 23, 2015
Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassificationYaakov Malinovsky, Paul S Albert, Anindya RoyStatistics in Medicine|April 29, 2021
Is group testing ready for prime-time in disease identification?Gregory Haber, Yaakov Malinovsky, Paul S AlbertBiometrics|October 11, 2011
Pooling designs for outcomes under a Gaussian random effects modelYaakov Malinovsky, Paul S Albert, Enrique F SchistermanBMC Medical Research Methodology|December 16, 2022
Using group testing in a two-phase epidemiologic design to identify the effects of a large number of antibody reactions on disease riskTanvi Mehta, Yaakov Malinovsky, Christian C Abnet, et al.Journal of Statistical Planning and Inference|June 7, 2011
Best Invariant and Minimax Estimation of Quantiles in Finite PopulationsYaakov Malinovsky, Yosef RinottBiometrical Journal. Biometrische Zeitschrift|August 10, 2017
Random walk designs for selecting pool sizes in group testing estimation with small samplesGregory Haber, Yaakov MalinovskyElectronic Journal of Statistics|July 16, 2021
Efficient methods for the estimation of the multinomial parameter for the two-trait group testing modelGregory Haber, Yaakov MalinovskyPageof 33