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Activity Number: 403 - SPAAC Poster Competition
Type: Topic Contributed
Date/Time: Tuesday, July 30, 2019 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #304658
Title: Higher Significance with Smaller Samples: a Modified Sequential Probability Ratio Test
Author(s): Sandipan Pramanik* and Valen Johnson and Anirban Bhattacharya
Companies: Texas A&M University (College Station) and Texas A&M University and TAMU
Keywords: Reproducibility issue; Statistical significance; UMPBT alternative; Sequential Probability Ratio Test

We describe a modified Sequential Probability Ratio Test that can be used to reduce the average sample size required to perform statistical hypothesis tests at specified levels of significance and power. Examples are provided for Z-tests, T-Tests, and tests of binomial success probabilities. A description of a software package to implement the tests is provided. We also compare the sample sizes required in fixed design tests conducted at 5% significance levels to the average sample sizes required in sequential tests conducted at 0.5% significance levels, and find that the two sample sizes are approximately the same. This illustrates that the proposed sequential tests can provide higher levels of significance using smaller sample sizes.

Authors who are presenting talks have a * after their name.

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