• Communications for Statistical Applications and Methods
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• 제10권2호
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• pp.553-566
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• 2003

In many cases, the measurement error variances may be functions of the unknown true values or related covariates. This paper considers design-based estimators of the parameters of these variance functions based on the within-unit sample variances. This paper devotes to: (1) define an error scale factor $\delta$; (2) develop estimators of the parameters of the linear measurement error variance function of the true values under large-sample and small-error conditions; (3) use propensity methods to adjust survey weights to account for possible selection effects at the replicate level. The proposed methods are applied to medical examination data from the U.S. Third National Health and Nutrition Examination Survey (NHANES III).

• 통합자연과학논문집
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• 제5권3호
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• pp.157-162
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• 2012

Measurement error is one of main source of error in survey. It is generally defined as the difference between an observed value and an underlying true value. An observed value with error may be expressed as a function of the true value plus error term. In some cases, the measurement error variance may be also a function of the unknown true value. The error variance function can be rewritten as a function of true value multiplied by a scale factor. This research explore methods for estimation of the measurement error variance based on the data from complex sampling design. We consider the case in which the variance of mesurement error is a linear function of unknown true value, and the error variance scale factor is small. We applied our results to the U.S. Third National Health and Nutrition Examination Survey (the U.S. NHANES III) data for empirical analyses, which has replicate measurements for relatively small subset of initial respondents's group.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2003년도 춘계학술대회
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• pp.1-14
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• 2003

In man cases, the measurement error variances may be functions of the unknown true values or related covariate. In some cases, the measurement error variances increase in proportion to the value of predictor. This paper develops estimators of the parameters of a linear measurement error variance function under stratified multistage random sampling design and additional conditions. Also, this paper evaluates and compares the power of an asymptotically unbiased test with that of an asymptotically biased test. The proposed method are applied to blood sample measurements from the U.S. Third National Health and Nutrition Examination Survey(NHANES III)

• 한국조사연구학회:학술대회논문집
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• 한국조사연구학회 2003년도 춘계학술발표대회
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• pp.34-41
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• 2003

많은 경우, 측정오차분산은 알려지지 않은 참값 또는 참값과 연관된 공변수들의 함수로 표현될 수 있다 이 논문은 단위 당 반복측정에 기초한 단위 내 표본분산을 이용한 선형측정오차분산의 추정에 관한 연구이다 이 논문은 다음의 내용을 포함한다: (1) 측정오차의 크기를 나타내는 상수 $\delta$의 추정; (2) 유한모집단으로부터의 복합표본, 작은 측정오차라는 조건하에 선형측정오차분산의 추정; (3) 부표본에 포함될 확률을 설명하기 위한 성향틴헝 추정 미국의 제3차 건강영양조사자료를 사용하여 이상의 결과들을 이용한 경험적 분석을 실행하였다.

• 대한간학회지
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• 제24권4호
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• pp.392-401
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• 2018

Background/Aims: Leptin is associated with metabolic disorders, which predispose one to non-alcoholic fatty liver disease (NAFLD). The role of leptin in NAFLD pathogenesis is not fully understood. We aim to investigate the association between serum leptin level and severity of NAFLD using U.S. nationally representative data. Methods: Data were obtained from the United States Third National Health and Nutrition Examination Survey. NAFLD was defined by ultrasound detection and severity of hepatic steatosis in the absence of other liver diseases. The severity of hepatic fibrosis was determined by NAFLD fibrosis score (NFS). We used multivariate survey-weighted generalized logistic regression to evaluate the association between leptin level and the degree of NAFLD. We also performed subgroup analyses by body mass index (lean vs. classic NAFLD). Results: Among 4,571 people, 1,610 (35%) had NAFLD. By ultrasound findings, there were 621 people with mild, 664 with moderate, and 325 with severe steatosis. There were 885 people with low NFS (<-1.455, no significant fibrosis), 596 with intermediate NFS, and 129 with high NFS (>0.676, advanced fibrosis). Leptin levels for normal, mild, moderate and severe steatosis were $10.7{\pm}0.3ng/mL$, $12.1{\pm}0.7ng/mL$, $15.6{\pm}0.8ng/mL$, $16{\pm}1.0ng/mL$, respectively (trend P-value<0.001). Leptin levels for low, intermediate, and high NFS were $11.8{\pm}0.5ng/mL$, $15.6{\pm}0.8ng/mL$, $28.5{\pm}3.5ng/mL$, respectively (trend P-value<0.001). This association remained significant even after adjusting for known demographic and metabolic risk factors. In the subgroup analysis, this association was only prominent in classic NAFLD, but not in lean NAFLD. Conclusions: Serum leptin level is associated with the severity of NAFLD, especially in classic NAFLD patients.