Roger L Holder
Biographic Data
| ID | 5210058 |
|---|---|
| NAME | Roger L Holder |
| GIVEN NAMES | Roger L |
| FAMILY NAME | Holder |
| SIGNATURE | HOLDER R L |
| AFFILIATIONS | University of Birmingham |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 1 |
Attentional bias retraining in cigarette smokers attempting smoking cessation (ARTS)
Current Controlled Trials: ISRCTN54375405
Inverted BMI rather than BMI is a better proxy for percentage of body fat
Overall, these characteristics of iBMI favour its use over BMI, especially in statistical models
Modeling Physiological and Anthropometric Variables Known to Vary with Body Size and Other Confounding Variables
This review explores the most appropriate methods of identifying population differences in physiological and anthropometric variables known to differ with body size and other confounding variables. We shall provide an overview of such problems from a historical point of view. We shall then give some guidelines as to the choice of body-size covariates as well as other confounding variables, and show how these might be incorporated into the model, …
Identifying population differences in lung function
In order to identify valid population differences in lung function (e.g. occupational, ethnic), it is necessary to adjust for known confounding variables (e.g. age, body size). The present paper proposes appropriate methods for analysing forced expiratory volume (FEV1), forced vital capacity (FVC) and maximum oxygen uptake (VO2 max), recorded as part of the Allied Dunbar national fitness survey (ADNFS). The ADNFS randomly selected subjects from 3…
Modeling Physiological and Anthropometric Variables Known to Vary with Body Size and Other Confounding Variables
This review explores the most appropriate methods of identifying population differences in physiological and anthropometric variables known to differ with body size and other confounding variables. We shall provide an overview of such problems from a historical point of view. We shall then give some guidelines as to the choice of body-size covariates as well as other confounding variables, and show how these might be incorporated into the model, …
Identifying population differences in lung function
In order to identify valid population differences in lung function (e.g. occupational, ethnic), it is necessary to adjust for known confounding variables (e.g. age, body size). The present paper proposes appropriate methods for analysing forced expiratory volume (FEV1), forced vital capacity (FVC) and maximum oxygen uptake (VO2 max), recorded as part of the Allied Dunbar national fitness survey (ADNFS). The ADNFS randomly selected subjects from 3…
Modeling Physiological and Anthropometric Variables Known to Vary with Body Size and Other Confounding Variables
This review explores the most appropriate methods of identifying population differences in physiological and anthropometric variables known to differ with body size and other confounding variables. We shall provide an overview of such problems from a historical point of view. We shall then give some guidelines as to the choice of body-size covariates as well as other confounding variables, and show how these might be incorporated into the model, …
Inverted BMI rather than BMI is a better proxy for percentage of body fat
Overall, these characteristics of iBMI favour its use over BMI, especially in statistical models
Attentional bias retraining in cigarette smokers attempting smoking cessation (ARTS)
Current Controlled Trials: ISRCTN54375405
Medicine (4 works) · Demography (3 works) · Internal Medicine (3 works) · Mathematics (3 works) · Statistics (3 works) · Body Composition Measurement Techniques (2 works) · Confounding (2 works) · Demography (2 works) · Linear regression (2 works) · Population (2 works)