๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Statistical effects of varying sample sizes on the precision of percentile estimates

โœ Scribed by Shumei S. Guo; Alex F. Roche; WM. Cameron Chumlea; Clifford Johnson; Robert J. Kuczmarski; Randy Curtin


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
537 KB
Volume
12
Category
Article
ISSN
1042-0533

No coin nor oath required. For personal study only.

โœฆ Synopsis


The present study evaluates the precision of outlying percentile estimates, with age-and sex-associated variations and facilitates decisions needed to revise the current NCHS 1977 Growth Charts with regard to 1) the inclusion of 3 rd and 97 th percentiles and 2) the selection of survey data for the construction of the revised growth charts. Simulation was performed to obtain data with distribution characteristics similar to those of The Third National Health and Nutritional Examination Survey (NHANES III) (1988)(1989)(1990)(1991) data. NHANES III consists of a two-phase, 6-year, complex stratified multistage probability cluster, cross-sectional survey conducted from 1988 through 1994 to represent the US noninstitutionalized population. Phase I of the survey consisted of 679 boys and 622 girls in age groups 3, 8, 13, and 18 years. Weight and stature, the body mass index (BMI) (weight/ stature 2 ; kg/m 2 ) was calculated. The results show that 1) the precision of the percentile estimates is greater for stature than for weight and BMI, 2) percentiles during the pubertal period are less precise than those during the prepubertal and postpubertal periods for weight and BMI but there is little difference for stature, and 3) percentile estimates are more precise for girls than boys for weight and BMI, but not for stature. The present findings suggest that pooling of NHANES III and earlier National Center for Health Statistics (NCHS) survey data is necessary to achieve reasonable precision for the 3 rd and 97 th percentile estimates. Am.


๐Ÿ“œ SIMILAR VOLUMES


The effect of dependence on estimating s
โœ Andrew R. Solow ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 70 KB ๐Ÿ‘ 2 views

The coverage of a sample of individuals from a biological community is deยฎned as the total relative abundance of the species represented in the sample. A simple estimator of coverage is based on the number of species represented in the sample by a single individual. This estimator works well when th

A note on the effect of asynchronous sam
โœ G. Sridharan; M.C. Srisailam; V.Subba Rao ๐Ÿ“‚ Article ๐Ÿ“… 1985 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 224 KB

Parameter estimation algorithms assume implicitly that the system input and output are sampled simultaneously. But the multichannel data acquisition systems currently available employ time division multiplexing to sample the various channels. Thus, in practice, asynchronous sampling results. This st

A statistical study for determining the
โœ Shizuma Yamaguchi; Yuichi Kato ๐Ÿ“‚ Article ๐Ÿ“… 1991 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 480 KB

## A BS TRA CT A statistical evaluation method for the accuracy of equivalent sound level measurement is proposed theoretically from the viewpoint of reliability. The confidence interval of L,q caused by the finiteness of the sample size is discussed, in the case when the equivalent sound level of