Minimum mean square error estimator using the simple adjusted proportion for testing the significance of a common effect measure in sparse multi-center data
Minimum mean square error estimator using the simple adjusted proportion for testing the significance of a common effect measure in sparse multi-center data
ชื่อเรื่อง :
Minimum mean square error estimator using the simple adjusted proportion for testing the significance of a common effect measure in sparse multi-center data
ปี :
2005
หมวด :
รายงานการวิจัย
ผู้แต่ง :
Chukiat Viwatwongkasem
ผู้แต่งร่วม :
-

Chukiat Viwatwongkasem,Chukiat Viwatwongkasem..[et al.]. 2005. Minimum mean square error estimator using the simple adjusted proportion for testing the significance of a common effect measure in sparse multi-center data. Bangkok:Department of Biostatistics Mahidol University;

Chukiat Viwatwongkasem,Chukiat Viwatwongkasem..[et al.]. (2005) Minimum mean square error estimator using the simple adjusted proportion for testing the significance of a common effect measure in sparse multi-center data. Department of Biostatistics Mahidol University:Bangkok.

Chukiat Viwatwongkasem,Chukiat Viwatwongkasem..[et al.]. Minimum mean square error estimator using the simple adjusted proportion for testing the significance of a common effect measure in sparse multi-center data. Bangkok:Department of Biostatistics Mahidol University, 2005. Print.

Chukiat Viwatwongkasem,Chukiat Viwatwongkasem..[et al.]. (2005) Minimum mean square error estimator using the simple adjusted proportion for testing the significance of a common effect measure in sparse multi-center data. Department of Biostatistics Mahidol University:Bangkok.

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