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19962025
most citedComparative Roles of Charge, and Hydrophobic Interactions in Sequence-Dependent Phase Separation of Intrinsically Disordered Proteins

381 citations

Showing 2020Show all

11 papers · 1 filter

stat.ME2020★ 38 cited

Conflating marginal and conditional treatment effects: Comments on 'Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study'

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

In this commentary, we highlight the importance of: (1) carefully considering and clarifying whether a marginal or conditional treatment effect is of interest in a population-adjus…

stat.ME2020★ 4 cited

Effect modification in anchored indirect treatment comparisons: Comments on "Matching-adjusted indirect comparisons: Application to time-to-event data"

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

This commentary regards a recent simulation study conducted by Aouni, Gaudel-Dedieu and Sebastien, evaluating the performance of different versions of matching-adjusted indirect co…

cs.DC2020★ 6 cited

LifeStream: A High-Performance Stream Processing Engine for Periodic Streams

Anand Jayarajan, Kimberly Hau, Andrew Goodwin +1

Hospitals around the world collect massive amounts of physiological data from their patients every day. Recently, there has been an increase in research interest to subject this da…

stat.AP2020

Modelling fertility potential in survivors of childhood cancer: An introduction to modern statistical and computational methods

L. Yu, Z. Lu, P. C. Nathan +2

Statistical and computational methods are widely used in today's scientific studies. Using a female fertility potential in childhood cancer survivors as an example, we illustrate h…

cs.LG2020

Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds

Erik Drysdale, Devin Singh, Anna Goldenberg

Predicting patient volumes in a hospital setting is a well-studied application of time series forecasting. Existing tools usually make forecasts at the daily or weekly level to ass…

stat.ME2020★ 5 cited

A Bayesian Mixture Modelling of Stop Signal Reaction Time Distributions

Mohsen Soltanifar, Michael Escobar, Annie Dupuis +1

The distribution of single Stop Signal Reaction Times (SSRT) in the stop signal task (SST) as a measurement of the latency of the unobservable stopping process has been modeled wit…

cs.RO2020

Anatomical Mesh-Based Virtual Fixtures for Surgical Robots

Zhaoshuo Li, Alex Gordon, Thomas Looi +3

This paper presents a dynamic constraint formulation to provide protective virtual fixtures of 3D anatomical structures from polygon mesh representations. The proposed approach can…

q-bio.BM2020★ 4 cited

Configurational Entropy of Folded Proteins and its Importance for Intrinsically Disordered Proteins

Meili Liu, Akshaya K. Das, James Lincoff +5

Many pairwise additive force fields are in active use for intrinsically disordered proteins (IDPs) and regions (IDRs), some of which modify energetic terms to improve description o…

q-bio.BM2020★ 381 cited

Comparative Roles of Charge, and Hydrophobic Interactions in Sequence-Dependent Phase Separation of Intrinsically Disordered Proteins

Suman Das, Yi-Hsuan Lin, Robert M. Vernon +2

Endeavoring toward a transferable, predictive coarse-grained explicit-chain model for biomolecular condensates underlain by liquid-liquid phase separation (LLPS), we conducted mult…

stat.AP2020★ 65 cited

Methods for Population Adjustment with Limited Access to Individual Patient Data: A Review and Simulation Study

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

Population-adjusted indirect comparisons estimate treatment effects when access to individual patient data is limited and there are cross-trial differences in effect modifiers. Pop…

stat.AP2020★ 38 cited

An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns +4

Decision models can combine information from different sources to simulate the long-term consequences of alternative strategies in the presence of uncertainty. A cohort state-trans…