Results 181 to 190 of about 14,495,757 (308)

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference [PDF]

MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching methods.
Elizabeth A. Stuart, Daniel Ho, Gary King, Kosuke Imai   +3 more
core  

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Development and Modeling of a Novel Magnetorheological Elastomer Isolator in Hybrid Mode with a Compression-Shear Hybrid Fractional-Derivative Parametric Model. [PDF]

Sensors (Basel)
Tian Y, Hu Z, Guo Y, Zhu L, Dai J, Tao Y, Wang X.   +6 more
europepmc   +1 more source

Estimation and model specification testing in nonparametric and semiparametric econometric models [PDF]

This paper considers two classes of semiparametric nonlinear regression models, in which nonlinear components are introduced to reflect the nonlinear fluctuation in the mean.
King, Maxwell, Gao, Jiti
core  

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer's disease. [PDF]

Biometrics
Wang K, Hua W, Wang M, Xu Y.
europepmc   +1 more source

An asymptotic theory for model selection inference in general semiparametric problems. [PDF]

Recently, Hjort and Claeskens (2003) developed an asymptotic theory for model selection, model averaging and post-model selection/averaging inference using likelihood methods in parametric models, along with associated confidence statements.
Claeskens, Gerda, Carroll, RJ
core  

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Weibull parametric model for survival analysis in women with endometrial cancer using clinical and T2-weighted MRI radiomic features. [PDF]

BMC Med Res Methodol
Li X, Marcus D, Russell J, Aboagye EO, Ellis LB, Sheeka A, Park WE, Bharwani N, Ghaem-Maghami S, Rockall AG.   +9 more
europepmc   +1 more source

Paris on Stage: 1889-1914 [exhibition]; Vespasienne (pissoir) Model

, 2013
Information label with photograph of original, in situ; Scale model, part of the Paris on Stage: 1889-1914 exhibition held June 19, 2013 to February 23, 2014.
unknown (Canadian model maker)
core