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Refinado por: assunto: Mathematical & Computational Biology remover Life Sciences & Biomedicine remover assunto: Models, Statistical remover
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Quantifying optimal accuracy of local primary sequence bioinformatics methods
Quantifying optimal accuracy of local primary sequence bioinformatics methods
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Quantifying optimal accuracy of local primary sequence bioinformatics methods

Aalberts, Daniel P. ; Daub, Eric G. ; Dill, Jesse W.

Bioinformatics, 2005-08, Vol.21 (16), p.3347-3351 [Periódico revisado por pares]

Oxford: Oxford University Press

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Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms
Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms
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Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms

Aalen, OO ; Røysland, K ; Gran, JM ; Kouyos, R ; Lange, T

Statistical methods in medical research, 2016-10, Vol.25 (5), p.2294-2314 [Periódico revisado por pares]

London, England: SAGE Publications

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3
Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: A comparative study
Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: A comparative study
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Propensity scores based methods for estimating average treatment effect and average treatment effect among treated: A comparative study

Abdia, Younathan ; Kulasekera, K. B. ; Datta, Somnath ; Boakye, Maxwell ; Kong, Maiying

Biometrical journal, 2017-09, Vol.59 (5), p.967-985 [Periódico revisado por pares]

Germany: Wiley - VCH Verlag GmbH & Co. KGaA

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4
Sparse time series chain graphical models for reconstructing genetic networks
Sparse time series chain graphical models for reconstructing genetic networks
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Sparse time series chain graphical models for reconstructing genetic networks

Abegaz, Fentaw ; Wit, Ernst

Biostatistics (Oxford, England), 2013-07, Vol.14 (3), p.586-599 [Periódico revisado por pares]

England: Oxford Publishing Limited (England)

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5
Comparison of four sib-pair linkage methods for analyzing sibships with more than two affecteds: Interest of the binomial maximum likelihood approach
Comparison of four sib-pair linkage methods for analyzing sibships with more than two affecteds: Interest of the binomial maximum likelihood approach
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Comparison of four sib-pair linkage methods for analyzing sibships with more than two affecteds: Interest of the binomial maximum likelihood approach

Abel, Laurent ; Alcais, Alexandre ; Mallet, Alain

Genetic epidemiology, 1998, Vol.15 (4), p.371-390 [Periódico revisado por pares]

New York: Wiley Subscription Services, Inc., A Wiley Company

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6
Diagnosing Parkinson’s Diseases Using Fuzzy Neural System
Diagnosing Parkinson’s Diseases Using Fuzzy Neural System
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Diagnosing Parkinson’s Diseases Using Fuzzy Neural System

Abiyev, Rahib H. ; Abizade, Sanan Khosrowabadi, Reza

Computational and mathematical methods in medicine, 2016-01, Vol.2016, p.1267919-9 [Periódico revisado por pares]

United States: Hindawi Publishing Corporation

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7
STATISTICAL INFORMATION CHARACTERIZATION OF CONSERVED NON-CODING ELEMENTS IN VERTEBRATES
STATISTICAL INFORMATION CHARACTERIZATION OF CONSERVED NON-CODING ELEMENTS IN VERTEBRATES
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STATISTICAL INFORMATION CHARACTERIZATION OF CONSERVED NON-CODING ELEMENTS IN VERTEBRATES

ABNIZOVA, I ; WALTER, K ; TE BOEKHORST, R ; ELGAR, G ; GILKS, W. R

Journal of bioinformatics and computational biology, 2007-04, Vol.5 (2b), p.533-547 [Periódico revisado por pares]

Singapore: Imperial College Press

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8
Comparison of alternative models for linking drug exposure with adverse effects
Comparison of alternative models for linking drug exposure with adverse effects
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Comparison of alternative models for linking drug exposure with adverse effects

Abrahamowicz, Michal ; Beauchamp, Marie-Eve ; Sylvestre, Marie-Pierre

Statistics in medicine, 2012-05, Vol.31 (11-12), p.1014-1030 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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9
Continuous tumour growth models, lead time estimation and length bias in breast cancer screening studies
Continuous tumour growth models, lead time estimation and length bias in breast cancer screening studies
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Continuous tumour growth models, lead time estimation and length bias in breast cancer screening studies

Abrahamsson, Linda ; Isheden, Gabriel ; Czene, Kamila ; Humphreys, Keith

Statistical methods in medical research, 2020-02, Vol.29 (2), p.374-395 [Periódico revisado por pares]

London, England: SAGE Publications

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10
A stochastic model for predator-prey systems : basic properties, stability and computer simulation
A stochastic model for predator-prey systems : basic properties, stability and computer simulation
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A stochastic model for predator-prey systems : basic properties, stability and computer simulation

ABUNDO, M

Journal of mathematical biology, 1991-01, Vol.29 (6), p.495-511 [Periódico revisado por pares]

Heidelberg: Springer

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