R Bairagi
Biographic Data
| ID | 5206779 |
|---|---|
| NAME | R Bairagi |
| GIVEN NAMES | R |
| FAMILY NAME | Bairagi |
| SIGNATURE | BAIRAGI R |
| AFFILIATIONS | Institute for Statistical Research and Training, University of Dacca, Bangladesh, Dacca, Bangladesh |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 19 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1982 |
| LATEST PUBLICATION YEAR | 1987 |
| H-INDEX | 2 |
Effects of age misstatement on the utility of age-dependent anthropometric indicators of nutritional status in rural Bangladesh
We report the effects of age error on use of weight-for-age and height-for-age for assessing and screening malnutrition, and for identifying factors of malnutrition in 679 children aged 22-59 months in Companiganj, in rural Bangladesh. Overreporting and random error in age and correlation of age error with each of the anthropometric indices are observed. As a result, the proportion of children having less than or equal to 60 per cent of median we…
Age Misstatement for Young Children in Rural Bangladesh
Age data for 3,393 children, six years of age and under, in rural Bangladesh are analyzed for the level and pattern of age misstatement. Random error, age heaping at whole years, and preferences for particular ages are found in the data. Variation in age reporting is discovered to increase monotonically with age. Systematic errors in age misstatement display modest overstatement for the first four years of life and more pronounced understatement …
On error due to graduation of scaling for anthropometry
It is shown that the measurement error due to graduation of scaling for anthropometric variables usually follows a uniform distribution. The result is used to investigate to what extent graduation in anthropometric scales affects the short‐term intrasubject variance. It is seen that for commonly used graduations the effect is not to be considered substantial
Age Misstatement for Young Children in Rural Bangladesh
Age data for 3,393 children, six years of age and under, in rural Bangladesh are analyzed for the level and pattern of age misstatement. Random error, age heaping at whole years, and preferences for particular ages are found in the data. Variation in age reporting is discovered to increase monotonically with age. Systematic errors in age misstatement display modest overstatement for the first four years of life and more pronounced understatement …
Effects of age misstatement on the utility of age-dependent anthropometric indicators of nutritional status in rural Bangladesh
We report the effects of age error on use of weight-for-age and height-for-age for assessing and screening malnutrition, and for identifying factors of malnutrition in 679 children aged 22-59 months in Companiganj, in rural Bangladesh. Overreporting and random error in age and correlation of age error with each of the anthropometric indices are observed. As a result, the proportion of children having less than or equal to 60 per cent of median we…
Age Misstatement for Young Children in Rural Bangladesh
Age data for 3,393 children, six years of age and under, in rural Bangladesh are analyzed for the level and pattern of age misstatement. Random error, age heaping at whole years, and preferences for particular ages are found in the data. Variation in age reporting is discovered to increase monotonically with age. Systematic errors in age misstatement display modest overstatement for the first four years of life and more pronounced understatement …
On error due to graduation of scaling for anthropometry
It is shown that the measurement error due to graduation of scaling for anthropometric variables usually follows a uniform distribution. The result is used to investigate to what extent graduation in anthropometric scales affects the short‐term intrasubject variance. It is seen that for commonly used graduations the effect is not to be considered substantial
Effects of age misstatement on the utility of age-dependent anthropometric indicators of nutritional status in rural Bangladesh
We report the effects of age error on use of weight-for-age and height-for-age for assessing and screening malnutrition, and for identifying factors of malnutrition in 679 children aged 22-59 months in Companiganj, in rural Bangladesh. Overreporting and random error in age and correlation of age error with each of the anthropometric indices are observed. As a result, the proportion of children having less than or equal to 60 per cent of median we…
Anthropometry (2 works) · Demography (2 works) · Medicine (2 works) · Age groups (1 work) · Analysis of variance (1 work) · Child Nutrition and Water Access (1 work) · Demographic economics (1 work) · Demographic Trends and Gender Preferences (1 work) · Demography (1 work) · Economics (1 work)