EMSA - A SAAM SERVICE FOR THE ESTIMATION OF POPULATION PARAMETERS BASED ON MODEL FITS TO IDENTICALLY REPLICATED EXPERIMENTS

被引：27

作者：

LYNE, A

BOSTON, R

PETTIGREW, K

ZECH, L

机构：

[1] NIH,MATH BIOL LAB,BLDG 10,RM 6B13,BETHESDA,MD 20892

[2] MURDOCH UNIV,COMP SERV UNIT,MURDOCH,WA 6150,AUSTRALIA

[3] UNIV PENN,NEW BOLTON CTR,KENNETT SQ,PA 19348

[4] NIMH,BETHESDA,MD 20892

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 1992年 / 38卷 / 2-3期

关键词：

MULTIPLE STUDIES; MODELING; SAAM; KINETICS; MAXIMUM LIKELIHOOD; ESTIMATION;

D O I：

10.1016/0169-2607(92)90082-I

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a new technique for the aggregation of models to produce population parameter estimates based on a set of identically replicated experiments. After describing the theoretical basis for the technique we discuss tactical and strategic issues associated with its implementation in the SAAM software. Finally, we demonstrate its utility in the aggregation of models fitted to four simulated experiments.

引用

页码：117 / 151

页数：35

共 38 条

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