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  2. Apgar score - Wikipedia

    en.wikipedia.org/wiki/Apgar_score

    The Apgar score is a quick way for health professionals to evaluate the health of all newborns at 1 and 5 minutes after birth and in response to resuscitation. [1] It was originally developed in 1952 by an anesthesiologist at Columbia University, Virginia Apgar , to address the need for a standardized way to evaluate infants shortly after birth.

  3. Generalized additive model for location, scale and shape

    en.wikipedia.org/wiki/Generalized_additive_model...

    The first two population distribution parameters and are usually characterized as location and scale parameters, while the remaining parameter(s), if any, are characterized as shape parameters, e.g. skewness and kurtosis parameters, although the model may be applied more generally to the parameters of any population distribution with up to four ...

  4. Jean Apgar - Wikipedia

    en.wikipedia.org/wiki/Jean_Apgar

    Barbara Jean Francis Apgar (born March 4, 1936) is an American biochemist. She worked on important research on ribonucleic acids (RNA), and on zinc deficiency as a risk factor in reproduction. She won the Federal Woman's Award in 1970, and the Arthur S. Flemming Award in 1973.

  5. Virginia Apgar - Wikipedia

    en.wikipedia.org/wiki/Virginia_Apgar

    Virginia Apgar (June 7, 1909 – August 7, 1974) was an American physician, [1] [2] obstetrical anesthesiologist [3] and medical researcher, [4] best known as the inventor of the Apgar score, a way to quickly assess the health of a newborn child immediately after birth in order to combat infant mortality. [5]

  6. Generalized additive model - Wikipedia

    en.wikipedia.org/wiki/Generalized_additive_model

    b1 = gam(y ~ x + s(t,bs="cr",k=100) + te(v,w),family=poisson,method="REML") which uses a basis size of 100 for the smooth of . The specification of distribution and link function uses the `family' objects that are standard when fitting GLMs in R or S. Note that Gaussian random effects can also be added to the linear predictor.

  7. Parametric statistics - Wikipedia

    en.wikipedia.org/wiki/Parametric_statistics

    Parametric statistical methods are used to compute the 2.33 value above, given 99 independent observations from the same normal distribution. A non-parametric estimate of the same thing is the maximum of the first 99 scores. We don't need to assume anything about the distribution of test scores to reason that before we gave the test it was ...

  8. List of probability distributions - Wikipedia

    en.wikipedia.org/wiki/List_of_probability...

    The Beta distribution on [0,1], a family of two-parameter distributions with one mode, of which the uniform distribution is a special case, and which is useful in estimating success probabilities. The four-parameter Beta distribution , a straight-forward generalization of the Beta distribution to arbitrary bounded intervals [ a , b ...

  9. Ecosocial theory - Wikipedia

    en.wikipedia.org/wiki/Ecosocial_theory

    Ecosocial theory, first proposed by name in 1994 by Nancy Krieger of the Harvard T.H. Chan School of Public Health, [1] is a broad and complex theory with the purpose of describing and explaining causal relationships in disease distribution.