output
20162024
most citedPreliminary Target Selection for the DESI Emission Line Galaxy (ELG) Sample

58 citations

13 papers

stat.AP2024★ 3 cited

WATCH: A Workflow to Assess Treatment Effect Heterogeneity in Drug Development for Clinical Trial Sponsors

Konstantinos Sechidis, Sophie Sun, Yao Chen +8

This paper proposes a Workflow for Assessing Treatment effeCt Heterogeneity (WATCH) in clinical drug development targeted at clinical trial sponsors. WATCH is designed to address t…

q-bio.TO2023

Cardiopulmonary responses and muscle strength influence running performance parameters differently at different slopes

Corentin Hingrand, Adrien Combes, Nicolas Olivier +2

The analysis of trail-running performance appears to be complex and cardio-respiratory and muscular factors could have a variable importance depending on the inclination. Our study…

astro-ph.CO2020★ 58 cited

Preliminary Target Selection for the DESI Emission Line Galaxy (ELG) Sample

Anand Raichoor, Daniel J. Eisenstein, Tanveer Karim +26

DESI will precisely constrain cosmic expansion and the growth of structure by collecting 35 million redshifts across 80% of cosmic history and one third of the sky to s…

stat.ME2020★ 10 cited

Extending Growth Mixture Model to Assess Heterogeneity in Joint Development with Piecewise Linear Trajectories in the Framework of Individual Measurement Occasions

Jin Liu, Robert A. Perera

Researchers continue to be interested in exploring the effects that covariates have on the heterogeneity in trajectories. The inclusion of covariates associated with latent classes…

astro-ph.GA2020★ 7 cited

Validation of Emission-Line Galaxies Target Selection Algorithms for the Dark Energy Spectroscopic Instrument Using the MMT Binospec

Tanveer Karim, Jae H. Lee, Daniel J. Eisenstein +4

The forthcoming Dark Energy Spectroscopic Instrument (DESI) experiment plans to measure the effects of dark energy on the expansion of the Universe and create a D map of the Uni…

stat.ME2020★ 8 cited

Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where and How to Add Which Covariates

Jin Liu, Robert A. Perera

Researchers are usually interested in examining the impact of covariates when separating heterogeneous samples into latent classes that are more homogeneous. The majority of theore…

stat.ME2020★ 4 cited

A practical Response Adaptive Block Randomization (RABR) design with analytic type I error protection

Tianyu Zhan, Lu Cui, Ziqian Geng +3

Response adaptive randomization (RAR) is appealing from methodological, ethical, and pragmatic perspectives in the sense that subjects are more likely to be randomized to better pe…

stat.ME2020★ 14 cited

Estimating Knots and Their Association in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions

Jin Liu, Robert A. Perera

Latent growth curve models with spline functions are flexible and accessible statistical tools for investigating nonlinear change patterns that exhibit distinct phases of developme…

stat.ME2019★ 6 cited

Two-step growth mixture model to examine heterogeneity in nonlinear trajectories

Jin Liu, Le Kang, Roy T. Sabo +2

Empirical researchers are usually interested in investigating the impacts of baseline covariates have when uncovering sample heterogeneity and separating samples into more homogene…

stat.AP2018★ 6 cited

Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the Health and Retirement Study

Yaoyuan Vincent Tan, Carol A. C. Flannagan, Lindsay R. Pool +1

The Health and Retirement Study is a longitudinal study of US adults enrolled at age 50 and older. We were interested in investigating the effect of a sudden large decline in wealt…

nucl-ex2017★ 21 cited

First direct constraints on Fierz interference in free neutron decay

K. P. Hickerson, X. Sun, Y. Bagdasarova +40

Precision measurements of free neutron -decay have been used to precisely constrain our understanding of the weak interaction. However the neutron Fierz interference term ,…

physics.ins-det2017★ 13 cited

Cryogenic magnetic coil and superconducting magnetic shield for neutron electric dipole moment searches

S. Slutsky, C. M. Swank, A. Biswas +10

A magnetic coil operated at cryogenic temperatures is used to produce spatial, relative field gradients below 6 ppm/cm, stable for several hours. The apparatus is a prototype of th…

stat.ML2016★ 42 cited

Modeling Industrial ADMET Data with Multitask Networks

Steven Kearnes, Brian Goldman, Vijay Pande

Deep learning methods such as multitask neural networks have recently been applied to ligand-based virtual screening and other drug discovery applications. Using a set of industria…