Regression models in physiological research
Bibliographic Data
| ID | 22827770 |
|---|---|
| Authors | S S Verma (0000-0001-8097-0194, Defence Institute of Physiology and Allied Sciences, corresponding author) |
| Year | 2001 |
| Volume | 83 |
| Issue | 1 |
| Pages | 129-138 |
| Publication date | 2001-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Zeitschrift für Morphologie und Anthropologie (JOURNAL) |
| Journal identifiers | ISSN: 0044-314X • E-ISSN: 2749-1587 |
| Publisher | Schweizerbart (PUBLISHER) |
| DOI | 10.1127/zma/83/2001/129 |
| PMID | 11372464 |
| OpenAlex | W2467173782 |
| Language | EN |
| References cited | 4 |
Regression models play a significant role for appropriate interpretations of complex phenomena of biomedical sciences. In the present paper an attempt has been made to critically review the applications of regression models in physiological research pertaining to the solutions of various defence oriented problems of indirect estimation of human endurances, fitness, physical work capacity, energy expenditure at different work rates, body density and lean body mass from body measurements at high altitude, ventilatory 'norms' for wider age groups from physical characteristics, heat output and index finger temperature from ambient temperature, leg muscle volume and fat free mass from X-ray radiographs and stature, total body volume from anthropometric measurements, thermoregulatory efficiency at different environmental situations etc. These regression models are of practical significance for screening personnel in defence services, mines, industrial work, sports and the like.
Anthropometry · Biology · Body weight · Econometrics · Energy expenditure · Lean body mass · Linear regression · Regression · Regression analysis · Statistics · Thermoregulation · Work (physics) · Body Composition Measurement Techniques · Computer Science · Ecology · Engineering · Mathematics · Mechanical Engineering · Medicine · Thermoregulation and physiological responses
| Highly cited | No |
|---|