An Efficient Data Integration Scheme for Synthesizing Information from Multiple Secondary Datasets for the Parameter Inference of the Main Analysis

03/06/2023
by   Chixiang Chen, et al.
0

Many observational studies and clinical trials collect various secondary outcomes that may be highly correlated with the primary endpoint. These secondary outcomes are often analyzed in secondary analyses separately from the main data analysis. However, these secondary outcomes can be used to improve the estimation precision in the main analysis. We propose a method called Multiple Information Borrowing (MinBo) that borrows information from secondary data (containing secondary outcomes and covariates) to improve the efficiency of the main analysis. The proposed method is robust against model misspecification of the secondary data. Both theoretical and case studies demonstrate that MinBo outperforms existing methods in terms of efficiency gain. We apply MinBo to data from the Atherosclerosis Risk in Communities study to assess risk factors for hypertension.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/29/2022

Increasing efficiency and reducing bias when assessing HPV vaccination efficacy by using non-targeted HPV strains

Studies of vaccine efficacy often record both the incidence of vaccine-t...
research
10/26/2017

Exoplanet Atmosphere Retrieval using Multifractal Analysis of Secondary Eclipse Spectra

We extend a data-based model-free multifractal method of exoplanet detec...
research
08/23/2023

Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting

Micro-randomized trials are commonly conducted for optimizing mobile hea...
research
09/24/2019

Symplectic P-stable Additive Runge–Kutta Methods

Symplectic partitioned Runge–Kutta methods can be obtained from a variat...
research
02/18/2020

A method for deriving information from running R code

It is often useful to tap information from a running R script. Obvious u...
research
02/18/2020

Managing multiple data streams in R

It is often useful to tap secondary information from a running R script....
research
02/02/2020

Multitasking additional-to-driving: Prevalence, structure, and associated risk in SHRP2 naturalistic driving data

This paper 1) analyzes the extent to which drivers engage in multitaskin...

Please sign up or login with your details

Forgot password? Click here to reset