Nonparametric estimation of reference intervals by simple and bootstrap-based procedures.

نویسنده

  • K Linnet
چکیده

on determinations of hemoglobin A1c by an immunoassay method. Diabetes Care 1998;21:983–6. 6. Roberts WL, Chiasera JM, Ward-Cook KM. Glycohemoglobin results in samples with hemoglobin C or S trait: a comparison of four test systems. Clin Chem 1999;45:906–9. 7. Eckman JR. The Sickle Cell Foundation of Georgia, Inc. The Sickle Cell Information Center. http://www.emory.edu/PEDS/SICKLE/hemoglb.htm (accessed May 1999). 8. National Heart, Lung, and Blood Institute. Management and therapy of sickle cell disease. Sickle cell trait. http://www.nhlbi.nih.gov/health/prof/blood/ sickle/sickle.txt (accessed August 1999). 9. Meyer LM, Adams JG III, Steinberg MH, Miller IE, Stokes N. Screening for sickle cell trait: the Veterans Administration National Sickle Cell Program. Am J Hematol 1987;24:429–32. 10. US Department of Commerce, Economics and Statistics Administration, Bureau of the Census. We the Americans: Blacks. http://www.census.gov/ apsd/wepeople/we-1.pdf (accessed February 2000). 11. Harris MI, Flegal KM, Cowie CC, Eberhardt MS, Goldstein DE, Little RR, et al. Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults. The third National Health and Nutrition Examination Survey, 1988–1994. Diabetes Care 1998:21:518–24. 12. Abraham EC. Glycosylated hemoglobins. New York: Marcel Dekker, 1985: 91–171. 13. Fluckiger R. Glycated hemoglobins [Review]. J Chromatogr 1988;429:279– 92. 14. Nuttall FQ. Comparison of percent total gHb with percent HbA1c in people with and without known diabetes. Diabetes Care 1998;21:1475–80. 15. Holownia P, Bishop E, Newman DJ, John WG, Price CP. Adaptation of latex-enhanced assay for percent glycohemoglobin to a Dade Dimension analyzer. Clin Chem 1997;43:76–84.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Statistical Topology Using the Nonparametric Density Estimation and Bootstrap Algorithm

This paper presents approximate confidence intervals for each function of parameters in a Banach space based on a bootstrap algorithm. We apply kernel density approach to estimate the persistence landscape. In addition, we evaluate the quality distribution function estimator of random variables using integrated mean square error (IMSE). The results of simulation studies show a significant impro...

متن کامل

Estimation in Simple Step-Stress Model for the Marshall-Olkin Generalized Exponential Distribution under Type-I Censoring

This paper considers the simple step-stress model from the Marshall-Olkin generalized exponential distribution when there is time constraint on the duration of the experiment. The maximum likelihood equations for estimating the parameters assuming a cumulative exposure model with lifetimes as the distributed Marshall Olkin generalized exponential are derived. The likelihood equations do not lea...

متن کامل

Bootstrap Statistical Inference for the Variance Based on Fuzzy Data

Abstract: The bootstrap is a simple and straightforward method for calculating approximated biases, standard deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric estimation problem. In this paper we describe a bootstrap method for variance that is designed directly for hypothesis testing in case of fuzzy data based on Yao-Wu signed distance.

متن کامل

Semiparametric Bootstrap Prediction Intervals in time Series

One of the main goals of studying the time series is estimation of prediction interval based on an observed sample path of the process. In recent years, different semiparametric bootstrap methods have been proposed to find the prediction intervals without any assumption of error distribution. In semiparametric bootstrap methods, a linear process is approximated by an autoregressive process. The...

متن کامل

Nonparametric Estimation of Spatial Risk for a Mean Nonstationary Random Field}

The common methods for spatial risk estimation are investigated for a stationary random field. Because of simplifying, lets distribution is known, and parametric variogram for the random field are considered. In this paper, we study a nonparametric spatial method for spatial risk. In this method, we model the random field trend by a local linear estimator, and through bias-corrected residuals, ...

متن کامل

The comparison of parametric and nonparametric bootstrap methods for reference interval computation in small sample size groups

According to the IFCC, to determine the population-based reference interval (RI) of a test, 120 reference individuals are required. However, for some age groups such as newborns and preterm babies, it is difficult to obtain enough reference individuals. In this study, we consider both parametric and nonparametric bootstrap methods for estimating RIs and the associated confidence intervals (CIs)...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Clinical chemistry

دوره 46 6 Pt 1  شماره 

صفحات  -

تاریخ انتشار 2000