| D007230 |
Infant, Low Birth Weight |
An infant having a birth weight of 2500 gm. (5.5 lb.) or less but INFANT, VERY LOW BIRTH WEIGHT is available for infants having a birth weight of 1500 grams (3.3 lb.) or less. |
Low Birth Weight,Low-Birth-Weight Infant,Birth Weight, Low,Birth Weights, Low,Infant, Low-Birth-Weight,Infants, Low-Birth-Weight,Low Birth Weight Infant,Low Birth Weights,Low-Birth-Weight Infants |
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| D007231 |
Infant, Newborn |
An infant during the first 28 days after birth. |
Neonate,Newborns,Infants, Newborn,Neonates,Newborn,Newborn Infant,Newborn Infants |
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| D007234 |
Infant, Premature |
A human infant born before 37 weeks of GESTATION. |
Neonatal Prematurity,Premature Infants,Preterm Infants,Infant, Preterm,Infants, Premature,Infants, Preterm,Premature Infant,Prematurity, Neonatal,Preterm Infant |
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| D007236 |
Infant, Small for Gestational Age |
An infant having a birth weight lower than expected for its gestational age. |
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| D008423 |
Maternal Age |
The age of the mother in PREGNANCY. |
Age, Maternal,Ages, Maternal,Maternal Ages |
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| D010298 |
Parity |
The number of offspring a female has borne. It is contrasted with GRAVIDITY, which refers to the number of pregnancies, regardless of outcome. |
Multiparity,Nulliparity,Primiparity,Parity Progression Ratio,Parity Progression Ratios,Ratio, Parity Progression,Ratios, Parity Progression |
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| D011247 |
Pregnancy |
The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH. |
Gestation,Pregnancies |
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| D011256 |
Pregnancy Outcome |
Results of conception and ensuing pregnancy, including LIVE BIRTH; STILLBIRTH; or SPONTANEOUS ABORTION. The outcome may follow natural or artificial insemination or any of the various ASSISTED REPRODUCTIVE TECHNIQUES, such as EMBRYO TRANSFER or FERTILIZATION IN VITRO. |
Outcome, Pregnancy,Outcomes, Pregnancy,Pregnancy Outcomes |
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| D012044 |
Regression Analysis |
Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. |
Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions |
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| D005260 |
Female |
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Females |
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