Living with observational data in biological anthropology
Datos Bibliográficos
| ID | 8317651 |
|---|---|
| Autores | Richard J Smith (0000-0002-6340-0656, Department of Anthropology Washington University in St. Louis St. Louis Missouri, autor de correspondencia) |
| Año | 2019 |
| Volumen | 169 |
| Número | 4 |
| Páginas | 591-598 |
| Fecha de publicación | 2019-08-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | American Journal of Physical Anthropology (JOURNAL) |
| Identificadores de la revista | ISSN: 0002-9483 • E-ISSN: 1096-8644 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajpa.23862 |
| PMID | 31132157 |
| OpenAlex | W2946581596 |
| Idioma | EN |
| Citas recibidas | 7 |
| Referencias citadas | 74 |
The establishment of cause and effect relationships is a fundamental objective of scientific research. Many lines of evidence can be used to make cause–effect inferences. When statistical data are involved, alternative explanations for the statistical relationship need to be ruled out. These include chance (apparent patterns due to random factors), confounding effects (a relationship between two variables because they are each associated with an unmeasured third variable), and sampling bias (effects due to preexisting properties of compared groups). The gold standard for managing these issues is a controlled randomized experiment. In disciplines such as biological anthropology, where controlled experiments are not possible for many research questions, causal inferences are made from observational data. Methods that statisticians recommend for this difficult objective have not been widely adopted in the biological anthropology literature. Issues involved in using statistics to make valid causal inferences from observational data are discussed
Bioinformatics · Biological data · Biology · Causal inference · Confounding · Data science · Econometrics · Observational methods in psychology · Observational study · Randomized experiment · Statistical inference · Statistics · Advanced Causal Inference Techniques · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Psychology · Statistical Methods and Inference
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| Obras citantes distintas | 7 |
|---|---|
| Citas por año | 1,17 |
| Intervalo de citas | 2020 - 2026 (7) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 6 |