Results 111 to 120 of about 468,748 (305)

cem: Software for Coarsened Exact Matching

open access: yes
This program is designed to improve causal inference via a method of matching that is widely applicable in observational data and easy to understand and use (if you understand how to draw a histogram, you will understand this method).
Stefano Iacus, Gary King, Giuseppe Porro
core  

Accounting For Endogenous Search Behavior in Matching Function Estimation [PDF]

open access: yes
We show that equilibrium matching models imply that standard estimates of the matching function elasticities are exposed to an endogeneity bias, which arises from the search behavior of agents on either side of the market.
Jolivet, Grégory   +2 more
core  

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

Statistical Policy Working Paper 16. A Comparative Study of Reporting Units in Selected Employer Data Systems

open access: yes
The Employer Reporting Unit Match Study (ERUMS) was a pilot record linkage study carried out under the auspices of the Federal Committee on Statistical Methodology (FCSM), Office of Management and Budget.
United States. Federal Committee on Statistical Methodology
core   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

open access: yesFEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point   +7 more
wiley   +1 more source

Quantitative matching of forensic evidence fragments using fracture surface topography and statistical learning

open access: yesNature Communications
The complex jagged trajectory of fractured surfaces of two pieces of forensic evidence is used to recognize a “match” by using comparative microscopy and tactile pattern analysis.
Geoffrey Z. Thompson   +7 more
doaj   +1 more source

Invariant and Metric Free Proximities for Data Matching: An R Package

open access: yes
Data matching is a typical statistical problem in non experimental and/or observational studies or, more generally, in cross-sectional studies in which one or more data sets are to be compared.
Stefano Iacus, Giuseppe Porro
core  

Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control

open access: yesFEBS Open Bio, EarlyView.
Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada   +5 more
wiley   +1 more source

A byte-size multi-variable-length-code based string matching algorithm for Alpha image coding

open access: yesDianxin kexue, 2018
According to the characteristics of Alpha image and the statistical characteristics of coding parameters of string matching algorithm,an Alpha image coding algorithm based on byte-size multi-variable long-length string matching was proposed.The algorithm
Liping ZHAO   +4 more
doaj   +2 more sources

Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R

open access: yes
Matching is an R package which provides functions for multivariate and propensity score matching and for finding optimal covariate balance based on a genetic search algorithm.
Jasjeet S. Sekhon
core  

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