activity
20142023
most citedCausal Effects in Twin Studies: the Role of Interference

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2023

A Random Effects Model-based Method of Moments Estimation of Causal Effect in Mendelian Randomization Studies

Wenhao Cao, Saonli Basu

Recent advances in genotyping technology have delivered a wealth of genetic data, which is rapidly advancing our understanding of the underlying genetic architecture of complex dis…

stat.ME2020★ 3 cited

Causal Effects in Twin Studies: the Role of Interference

Bonnie Smith, Elizabeth L. Ogburn, Matt McGue +2

The use of twins designs to address causal questions is becoming increasingly popular. A standard assumption is that there is no interference between twins---that is, no twin's exp…

stat.AP2018★ 2 cited

Simultaneous Selection of Multiple Important Single Nucleotide Polymorphisms in Familial Genome Wide Association Studies Data

Subhabrata Majumdar, Saonli Basu, Matt McGue +1

We propose a resampling-based fast variable selection technique for detecting relevant single nucleotide polymorphisms (SNP) in a multi-marker mixed effect model. Due to computatio…

stat.ME2017

A Robust and Unified Framework for Estimating Heritability in Twin Studies using Generalized Estimating Equations

Jaron Arbet, Matt McGue, Saonli Basu

The development of a complex disease is an intricate interplay of genetic and environmental factors. "Heritability" is defined as the proportion of total trait variance due to gene…

stat.ME2014

USAT: A Unified Score-based Association Test for Multiple Phenotype-Genotype Analysis

Debashree Ray, James S Pankow, Saonli Basu

Genome-wide Association Studies (GWASs) for complex diseases often collect data on multiple correlated endo-phenotypes. Multivariate analysis of these correlated phenotypes can imp…