Regression-based reference limits: determination of sufficient sample size

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Regression-based reference limits: determination of sufficient sample size.

Regression analysis is the method of choice for the production of covariate-dependent reference limits. There are currently no recommendations on what sample size should be used when regression-based reference limits and confidence intervals are calculated. In this study we used Monte Carlo simulation to study a reference sample group of 374 age-dependent hemoglobin values. From this sample, 50...

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The problem of sample size estimation is important in medical applications, especially in cases of expensive measurements of immune biomarkers. This paper describes the problem of logistic regression analysis with the sample size determination algorithms, namely the methods of univariate statistics, logistics regression, cross-validation and Bayesian inference. The authors, treating the regr...

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A method is presented to plan the required sample size when estimating regression-based reference limits.

BACKGROUND AND OBJECTIVE Reference limits are widely used in anthropometry, the behavioral sciences, medicine, and clinical chemistry. They describe the distribution of a quantitative variable in a healthy population, and are often a smooth function of age or another determinant. Thus, instead of estimating reference limits separately for several age groups, it is more economical and parsimonio...

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Determination of reference limits: statistical concepts and tools for sample size calculation.

Reference limits are estimators for 'extreme' percentiles of the distribution of a quantitative diagnostic marker in the healthy population. In most cases, interest will be in the 90% or 95% reference intervals. The standard parametric method of determining reference limits consists of computing quantities of the form X̅±c·S. The proportion of covered values in the underlying population coincide...

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Sample Size Determination for Logistic Regression: A Simulation Study

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ژورنال

عنوان ژورنال: Clinical Chemistry

سال: 1998

ISSN: 0009-9147,1530-8561

DOI: 10.1093/clinchem/44.11.2353