Calculating a Nonparametric Estimate and Confidence Interval Using SAS . Software

نویسنده

  • Chris Decker
چکیده

In clinical trials nonparametric analysis methods are sometimes used to assess the differences between treatment groups. Most people use either the NPAR1WAY procedure or the FREQ procedure to perform nonparametric analysis. However, no procedures currently exist within SAS software to produce a nonparametric estimate of the difference between treatment groups or a confidence interval to assess the magnitude of that difference. This paper describes the process for calculating the nonparametric estimate of the difference and the confidence interval to assess the magnitude of that difference with the use of the SQL procedure statement and a few DATA steps.

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

Sample Size Determination for a Nonparametric Upper Tolerance Limit for any Order Statistic

A nonparametric upper tolerance limit (UTL) bounds a specified percentage of the population distribution with specified confidence. The most common UTL is based on the largest order statistic (the maximum) where the number of samples required for a given confidence and coverage is easily derived for an infinitely large population. However, for other order statistics such as the second largest, ...

متن کامل

A Macro for Calculating Summary Statistics on Left Censored Environmental Data using the Kaplan-Meier Method

Calculating summary statistics such as the mean, standard deviation, and an upper confidence limit on the mean is straightforward when the data values are known. However, environmental data often are reported from the analytical laboratory as left censored, meaning the actual concentration for a given contaminant was not detected above the method detection limit. Therefore, the true concentrati...

متن کامل

Jeffreys Interval for One-Sample Proportion with SAS/STAT Software

This paper introduces Jeffreys interval for one-sample proportion using SAS® software. It compares the credible interval from a Bayesian approach with the confidence interval from a frequentist approach. Different ways to calculate the Jeffreys interval are presented using PROC FREQ, the QUANTILE function, a SAS program of random walk Metropolis sampler, and PROC MCMC.

متن کامل

A SAS Macro for Improved Correlation Coefficient Inference

We present a SAS macro for improved statistical inference for measures of association, including Pearson's correlation, Spearman's coefficient, and Kendall's coefficient. While the CORR procedure is a powerful tool for calculating and testing these coefficients, some analyses are lacking. For example, the CORR procedure does not incorporate recent theoretical improvements in confidence interval...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000