Search Results - "Computer Simulation statistics & numerical data"

External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb by Snell, Kym I.E., Archer, Lucinda, Ensor, Joie, Bonnett, Laura J., Debray, Thomas P.A., Phillips, Bob, Collins, Gary S., Riley, Richard D.

“…•After a clinical prediction model is developed, it is usually necessary to undertake an external validation study that examines the model's performance in new…”
Get full text

Psychometric network models from time-series and panel data by Epskamp, Sacha

“…Researchers in the field of network psychometrics often focus on the estimation of Gaussian graphical models (GGMs)—an undirected network model of partial…”
Get full text

An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B by Kim, Hwi Young, Lampertico, Pietro, Nam, Joon Yeul, Lee, Hyung-Chul, Kim, Seung Up, Sinn, Dong Hyun, Seo, Yeon Seok, Lee, Han Ah, Park, Soo Young, Lim, Young-Suk, Jang, Eun Sun, Yoon, Eileen L., Kim, Hyoung Su, Kim, Sung Eun, Ahn, Sang Bong, Shim, Jae-Jun, Jeong, Soung Won, Jung, Yong Jin, Sohn, Joo Hyun, Cho, Yong Kyun, Jun, Dae Won, Dalekos, George N., Idilman, Ramazan, Sypsa, Vana, Berg, Thomas, Buti, Maria, Calleja, Jose Luis, Goulis, John, Manolakopoulos, Spilios, Janssen, Harry L.A., Jang, Myoung-jin, Lee, Yun Bin, Kim, Yoon Jun, Yoon, Jung-Hwan, Papatheodoridis, George V., Lee, Jeong-Hoon

“…Several models have recently been developed to predict risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Our aims were to…”
Get full text

Evaluation of log P, pK a , and log D predictions from the SAMPL7 blind challenge by Bergazin, Teresa Danielle, Tielker, Nicolas, Zhang, Yingying, Mao, Junjun, Gunner, M R, Francisco, Karol, Ballatore, Carlo, Kast, Stefan M, Mobley, David L

“…The Statistical Assessment of Modeling of Proteins and Ligands (SAMPL) challenges focuses the computational modeling community on areas in need of improvement…”
Get full text

Diagnostic accuracy and measurement sensitivity of digital models for orthodontic purposes: A systematic review by Rossini, Gabriele, Parrini, Simone, Castroflorio, Tommaso, Deregibus, Andrea, Debernardi, Cesare L.

“…Our objective was to assess the accuracy, validity, and reliability of measurements obtained from virtual dental study models compared with those obtained from…”
Get full text

Racial and Ethnic Biases in Computational Approaches to Psychopathology by Hitczenko, Kasia, Cowan, Henry R, Goldrick, Matthew, Mittal, Vijay A

Get full text

Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups by Hong, Chuan, Pencina, Michael J, Wojdyla, Daniel M, Hall, Jennifer L, Judd, Suzanne E, Cary, Michael, Engelhard, Matthew M, Berchuck, Samuel, Xian, Ying, D'Agostino, Sr, Ralph, Howard, George, Kissela, Brett, Henao, Ricardo

“…Stroke is the fifth-highest cause of death in the US and a leading cause of serious long-term disability with particularly high risk in Black individuals…”
Get more information

The Impact of COVID-19 on Plastic Surgery Residency Training by Zingaretti, Nicola, Contessi Negrini, Filippo, Tel, Alessandro, Tresoldi, Marco Mario, Bresadola, Vittorio, Parodi, Pier Camillo

“…Nowadays didactic and surgical activities for residents in the surgery field are less and less due to an increasing burden of documentation and…”
Get full text

Biophysical Inference of Epistasis and the Effects of Mutations on Protein Stability and Function by Otwinowski, Jakub

“…Understanding the relationship between protein sequence, function, and stability is a fundamental problem in biology. The essential function of many proteins…”
Get full text

Fictitious Inhibitory Differences: How Skewness and Slowing Distort the Estimation of Stopping Latencies by Verbruggen, Frederick, Chambers, Christopher D., Logan, Gordon D.

“…The stop-signal paradigm is a popular method for examining response inhibition and impulse control in psychology, cognitive neuroscience, and clinical domains…”
Get full text

Population Structure and Eigenanalysis by Patterson, Nick, Price, Alkes L., Reich, David

“…Current methods for inferring population structure from genetic data do not provide formal significance tests for population differentiation. We discuss an…”
Get full text

Developing a Clinical Prediction Score: Comparing Prediction Accuracy of Integer Scores to Statistical Regression Models by Subramanian, Vigneshwar, Mascha, Edward J, Kattan, Michael W

“…Researchers often convert prediction tools built on statistical regression models into integer scores and risk classification systems in the name of…”
Get more information

The performance of phylogenetic algorithms in estimating haplotype genealogies with migration by SALZBURGER, WALTER, EWING, GREG B., Von HAESELER, ARNDT

“…Genealogies estimated from haplotypic genetic data play a prominent role in various biological disciplines in general and in phylogenetics, population genetics…”
Get full text

The relationship between statistical power and predictor distribution in multilevel logistic regression: a simulation-based approach by Olvera Astivia, Oscar L., Gadermann, Anne, Guhn, Martin

“…Background Despite its popularity, issues concerning the estimation of power in multilevel logistic regression models are prevalent because of the complexity…”
Get full text

Statistical Properties of the Branch-Site Test of Positive Selection by Yang, Ziheng, dos Reis, Mario

“…The branch-site test is a likelihood ratio test to detect positive selection along prespecified lineages on a phylogeny that affects only a subset of codons in…”
Get full text

Coherent chaos in a recurrent neural network with structured connectivity by Landau, Itamar Daniel, Sompolinsky, Haim

“…We present a simple model for coherent, spatially correlated chaos in a recurrent neural network. Networks of randomly connected neurons exhibit chaotic…”
Get full text

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys by Ferri-García, Ramón, Rueda, María del Mar

“…Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the…”
Get full text

Sample Size Determination for GEE Analyses of Stepped Wedge Cluster Randomized Trials by Li, Fan, Turner, Elizabeth L., Preisser, John S.

“…In stepped wedge cluster randomized trials, intact clusters of individuals switch from control to intervention from a randomly assigned period onwards. Such…”
Get full text

A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference by Murray, Eleanor J, Robins, James M, Seage, George R, Freedberg, Kenneth A, Hernán, Miguel A

“…Decision-making requires choosing from treatments on the basis of correctly estimated outcome distributions under each treatment. In the absence of randomized…”
Get more information

Diagnosing and responding to violations in the positivity assumption by Petersen, Maya L, Porter, Kristin E, Gruber, Susan, Wang, Yue, van der Laan, Mark J

“…The assumption of positivity or experimental treatment assignment requires that observed treatment levels vary within confounder strata. This article discusses…”
Get full text