#Block variable sequential testing sas trial

The BOUNDARY= option specifies the input data set that provides the boundary information for the trial at stage (this data set was generated in the SEQDESIGN procedure). The following statements invoke the SEQDESIGN procedure and request a three-stage group sequential design for normally distributed data to test the null hypothesis of a regression parameter against the alternative : Then the required sample size can be derived using the SAMPLESIZE statement in the SEQDESIGN procedure. Where is the variance of the response variable in the regression model, is the proportion of variance of Weight explained by other covariates, and is the variance of Weight.įurther suppose that from past experience,, , and. Then the maximum information can be derived in the SEQDESIGN procedure.įollowing the derivations in the section 'Test for a Parameter in the Regression Model' in the chapter 'The SEQDESIGN Procedure,' the required sample size can be derived from Suppose that is the reference improvement that should be detected at a level. The null hypothesis is, where is the regression parameter for the variable Weight. The hypothesis is tested using the following linear model: The primary interest is whether oxygen intake rate is associated with weight. A study is conducted to examine the effects of Age (years), Weight (kg), RunTime (time in minutes to run 1.5 miles), RunPulse (heart rate while running), and MaxPulse (maximum heart rate recorded while running) on Oxygen (oxygen intake rate, ml per kg body weight per minute).

This example demonstrates a two-sided group sequential test that uses an error spending design with early stopping to reject the null hypothesis.

Example 78.2 Testing an Effect in a Regression Model

Block variable sequential testing sas