Linear statistical model for growth in stature from birth to maturity
Bibliographic Data
| ID | 19459666 |
|---|---|
| Authors | Robert B Reed (Harvard University), Catherine S Berkey (0000-0001-5831-3243, Harvard University) |
| Year | 1989 |
| Volume | 1 |
| Issue | 3 |
| Pages | 257-262 |
| Publication date | 1989-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Human Biology (JOURNAL) |
| Journal identifiers | ISSN: 1042-0533 • E-ISSN: 1520-6300 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajhb.1310010305 |
| PMID | 28514089 |
| OpenAlex | W1995228981 |
| Language | EN |
| Citations received | 4 |
| References cited | 6 |
A model for the physical growth of individual children from birth to adulthood is proposed which is linear in the model parameters. The advantages of linear over nonlinear models include the relative ease and costs of fitting the model to data of individuals and the fact that statistical methods are more readily available for analysis of parameters from linear models than for nonlinear models. The proposed linear model and the non‐linear triple logistic model are both fit to the measured lengths of two boys and two girl followed from birth to 18 years of age
Developmental psychology · Econometrics · Linear growth · Linear model · Linear relationship · Log-linear model · Logistic regression · Nonlinear system · Statistical model · Statistics · Body Composition Measurement Techniques · Genetic and phenotypic traits in livestock · Mathematics · Psychology · Applied Mathematics
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| Citations per year | 0.11 |
|---|---|
| Citation span | 1989 - 2017 (29) |
| Highly cited | No |