Models, Statistical

Known as: Probabilistic Models, Statistical Models, Probabilistic Model 
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters… (More)
National Institutes of Health

Topic mentions per year

Topic mentions per year

1959-2018
010020030019592018

Related topics

Related topics

10 relations
Mathematical ModelMeta Analysis (statistical procedure)Statistics (publications)Theoretical model

Narrower (4)

Models, BinomialModels, PolynomialTwo-Parameter Modelssurvival modeling

Broader (2)

Scientific modelquantitative data analysis

Related mentions per year

Related mentions per year

1951-2018
1960198020002020
Models, Statistical
Meta Analysis (statistical procedure)
Mathematical Model
Two-Parameter Models
Models, Polynomial
Theoretical model

Papers overview

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Highly Cited
2010
Highly Cited
2010
A basic introduction to fixed-effect and random-effects models for meta-analysis.
There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that… (More)
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Highly Cited
2010
Highly Cited
2010
Estimates of cancer incidence and mortality in Europe in 2008.
Up-to-date statistics on cancer occurrence and outcome are essential for the planning and evaluation of programmes for cancer… (More)
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Highly Cited
2010
Highly Cited
2010
DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI
Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more attention because of its effectiveness… (More)
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Highly Cited
2009
Highly Cited
2009
Common variants on chromosome 6p22.1 are associated with schizophrenia
Schizophrenia, a devastating psychiatric disorder, has a prevalence of 0.5–1%, with high heritability (80–85%) and complex… (More)
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Highly Cited
2008
Highly Cited
2008
Model-based variance-stabilizing transformation for Illumina microarray data
Variance stabilization is a step in the preprocessing of microarray data that can greatly benefit the performance of subsequent… (More)
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Highly Cited
2004
Highly Cited
2004
Statistical Significance Testing and Cumulative Knowledge in Psychology : Implications for Training of Researchers
Data analysis methods in psychology still emphasize statistical significance testing, despite numerous articles demonstrating its… (More)
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Highly Cited
2002
Highly Cited
2002
Gene expression comparison of biopsies from Duchenne muscular dystrophy (DMD) and normal skeletal muscle.
The primary cause of Duchenne muscular dystrophy (DMD) is a mutation in the dystrophin gene leading to the absence of the… (More)
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Highly Cited
2001
Highly Cited
2001
Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection.
Recent advances in cDNA and oligonucleotide DNA arrays have made it possible to measure the abundance of mRNA transcripts for… (More)
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Highly Cited
2001
Highly Cited
2001
An efficient and robust statistical modeling approach to discover differentially expressed genes using genomic expression profiles.
We have developed a statistical regression modeling approach to discover genes that are differentially expressed between two… (More)
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Highly Cited
1978
Highly Cited
1978
The Case Against Statistical Significance Testing
In recent years the use of traditional statistical methods in educational research has increasingly come under attack. In this… (More)
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