Conducting sensitivity analyses to identify and buffer power vulnerabilities in studies examining substance use over time.

ABSTRACT:

Introduction

A priori power analysis is increasingly being recognized as a useful tool for designing efficient research studies that improve the probability of robust and publishable results. However, power analyses for many empirical designs in the addiction sciences require consideration of numerous parameters. Identifying appropriate parameter estimates is challenging due to multiple sources of uncertainty, which can limit power analyses' utility.

Method

We demonstrate a sensitivity analysis approach for systematically investigating the impact of various model parameters on power. We illustrate this approach using three design aspects of importance for substance use researchers conducting longitudinal studies base rates, individual differences (i.e., random slopes), and c

SUBMITTER: Lane SP 

PROVIDER: S-EPMC9284465 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature