Python Package abstcal: An Open-Source Tool for Calculating Abstinence From Timeline Followback Data.

ABSTRACT:

Introduction

In smoking cessation clinical trials, timeline followback (TLFB) interviews are widely used to track daily cigarette consumption. However, there are no standard tools for calculating abstinence based on TLFB data. Individual research groups have to develop their own calculation tools, which is not only time- and resource-consuming but might also lead to variability in the data processing and calculation procedures.

Aims and methods

To address these issues, we developed a novel open-source Python package named abstcal to calculate abstinence using TLFB data. This package provides data verification, duplicate and outlier detection, missing-data imputation, integration of biochemical verification data, and calculation of a variety of definitions of abstinence, incl

SUBMITTER: Cui Y 

PROVIDER: S-EPMC8826113 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature