PREDICTION OF LOW BIRTHWEIGHT AND PREMATURITY BY A MULTIPLE REGRESSION ANALYSIS WITH MATERNAL CHARACTERISTICS KNOWN SINCE BEGINNING OF PREGNANCY

被引：73

作者：

KAMINSKI, M

GOUJARD, J

RUMEAURO.C

机构：

[1] INST NAT SANTE RECH MED,SECT MATER & PEDIAT,16 AVE PV COUTURIER,94 VILLEJUIF,FRANCE

[2] UNIT RECH STATISTIQUES,VILLEJUIF,FRANCE

来源：

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY | 1973年 / 2卷 / 02期

关键词：

D O I：

10.1093/ije/2.2.195

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

引用

页码：195 / 204

页数：10

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[6] BINARY VARIABLE MULTIPLE REGRESSION METHOD OF ANALYSING FACTORS AFFECTING PERI-NATAL MORTALITY AND OTHER OUTCOMES OF PREGNANCY [J].

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KAMINSKI M, TO BE PUBLISHED

[10] HIGH-RISK OBSTETRICS .2. VALUE OF SEMIOBJECTIVE GRADING SYSTEM IN IDENTIFYING VULNERABLE GROUP [J].

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