Approximate maximum likelihood estimation for population genetic inference

Bertl, Johanna; Ewing, Gregory B.; Kosiol, Carolin; Futschik, Andreas

doi:10.1515/sagmb-2017-0016

Cited by 12 publications

(9 citation statements)

References 35 publications

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“…Specifically, the maximum likelihood technique generates asymptotically unbiased estimates of risk factor loadings and achieves the Cramer-Rao lower bound as the volume of data is increased 24 . Maximum likelihood estimation has widespread uses inter alia in Finance, Biology and Economics [25][26][27] . For example, Avdis and Watcher use this strategy to estimate the extra interest over and above the risk-free rate that is earned for holding a risky asset 25 .…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…When feasible, maximum likelihood estimation is therefore the methodology of choice because it provides increasingly unbiased parameter estimates with the best achievable standard error as the size of the data set is progressively increased. The methodology is used widely, for example, in Finance, Biology and Economics [25][26][27] .…”

Section: The Maximum Likelihood Methodologymentioning

confidence: 99%

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Quantifying Relative Importance of Coronary Risk Factors on Patient Survival Following Coronary Artery Bypass Grafting: A Maximum Likelihood Analysis

Lindsay¹,

Tayyib²,

Asfour³

et al. 2020

J Cardiol and Cardiovasc Sciences

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Background: Coronary artery bypass grafting (CABG) is a major surgical intervention to relieve symptoms and promote survival for individuals with coronary heart disease (CHD). The benefits of the intervention are thought to be improved when underlying risk factors of CHD are ameliorated. However in current health care systems the long-term follow-up of patients following CABG is not centralized to allow for the determination of survival trends and their optimization. The survival of study participants who underwent CABG is compared with age and gender matched individuals from the general population. Differences in rates of survival are interpreted in terms of lifestyle choices and the impact of risk factors of CHD.Method: Survival data were obtained from government records to 18 years post intervention on a cohort of patients who underwent CABG and participated in a long-term follow-up program. Cardiac symptoms and risk factors of CHD were collected from consenting participants (44 women and 164 men) prior to CABG and at clinical assessments at one and eight-year follow-ups. Important clinical and lifestyle factors were identified and their impact on post-operative survival was quantified using a maximum likelihood technique. Male and female patients were investigated separately and a good fit between observed and simulated survival experiences was confirmed by Monte Carlo simulation.Results: Cardiac symptoms were exhibited by 75.8% of women and 68.3% of men (χ 2 =0.712, p=0.3988) one-year post operation, and by 84.2% of women and 70.2% of men eight-years post operation (χ 2 =1.556, p=0.212). Male longterm survival at 54.3% after 18 years was significantly better than 36.4% for females (χ 2 =4.449, p=0.035), but both were worse than 73.0% and 71.5% (p=0.6114) respectively for gender and age-matched cohorts from the general population.Important risk factors for women were post-operative smoking and postoperative hypertension reducing annual post-operative survival by 3.9% and 2.7% respectively and by 6.6% when both are present. Equivalent important risk factors for men are post-operative smoking and unrelieved/recurring cardiac symptoms reducing annual survival rates by 2.4% and 1.2% respectively and by 3.6% when both are present. Conclusion:Eighteen year survival post CABG was significantly better for men than women, but both were worse than that for the general population. Post-operative smoking was the most significant risk factor associated with decreased rates of survival followed by unrelieved/recurring cardiac symptoms for men and persisting hypertension for women.

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Section: Discussion Of Resultsmentioning

confidence: 99%

Section: The Maximum Likelihood Methodologymentioning

confidence: 99%

Quantifying Relative Importance of Coronary Risk Factors on Patient Survival Following Coronary Artery Bypass Grafting: A Maximum Likelihood Analysis

Lindsay¹,

Tayyib²,

Asfour³

et al. 2020

J Cardiol and Cardiovasc Sciences

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“…Rubio & Johansen ; Bertl et al . ), we are unaware of any generic implementation, which would further have demonstrated performance in terms of coverage. One of the factors that may have inhibited the spread of such methods may be the limited reliability and/or the computer requirements of available smoothing techniques, on which a generic and automated software implementation could be based.…”

Section: Introductionmentioning

confidence: 99%

The summary‐likelihood method and its implementation in the Infusion package

Rousset

Gouy

Martinez‐Almoyna

et al. 2016

Molecular Ecology Resources

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In recent years, simulation methods such as approximate Bayesian computation have extensively been used to infer parameters of population genetic models where the likelihood is intractable. We describe an alternative approach, summary likelihood, that provides a likelihood-based analysis of the information retained in the summary statistics whose distribution is simulated. We provide an automated implementation as a standard R package, Infusion, and we test the method, in particular for a scenario of inference of population-size change from genetic data. We show that the method provides confidence intervals with controlled coverage independently of a prior distribution on parameters, in contrast to approximate Bayesian computation. We expect the method to be applicable for at least six-parameter models and discuss possible modifications for higher-dimensional inference problems.

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“…Several properties of this function illustrated in [7]. There are also studies have been working on different types of MLE and its application (refer to the last few [8][9][10][11][12][13]).…”

Section: Parameter Estimation By Mlementioning

confidence: 99%

Segmentação por entropia de Tsallis através de MRF para o parcelamento de ressonância magnética cerebral

Azimbagirad¹

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xi xii de segmentação em comparação com delineamentos de tecidos de referência para avaliar o Mqe-MMRF. As simulações de ruído de ressonância magnética mostraram apenas 4,8 % de decréscimo nas métricas de pontuação de segmentação após a adição de artefatos de ruído de 40 % e 9 % de não uniformidade e de ruído Gaussiano, respectivamente. Para cinco sujeitos de treinamento, encontramos melhoras significantes médias nas métricas de similaridade, para cérebro inteiro 0,78, Matéria Branca 2,91, Matéria Cinzenta 3,85 e Líquido Cefalorraquidiano 3,83 % (p-valores <0,02) nas métricas quando o Mqe-MMRF é comparado a métodos estado da arte. O Mqe-MMRF foi realizado em 15 outros sujeitos reais no desafio on-line MRBrainS13, e os resultados mantiveram uma classificação mais alta do que as ferramentas de referência, ou seja, FreeSurfer, SPM e FSL. Como o método proposto melhorou a precisão da segmentação do cérebro e classificou o melhor desempenho para GM, ele pode ser usado em estudos morfológicos quantitativos do cérebro.Palavras-chave: 1.Segmentação de Imagem 2.Expectativa-Maximização 3.Algoritmo K-mean 4.q-entropia 5.Markov Random Field 6.Ressonância magnética

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Approximate maximum likelihood estimation for population genetic inference

Cited by 12 publications

References 35 publications

Quantifying Relative Importance of Coronary Risk Factors on Patient Survival Following Coronary Artery Bypass Grafting: A Maximum Likelihood Analysis

Quantifying Relative Importance of Coronary Risk Factors on Patient Survival Following Coronary Artery Bypass Grafting: A Maximum Likelihood Analysis

The summary‐likelihood method and its implementation in the Infusion package

Segmentação por entropia de Tsallis através de MRF para o parcelamento de ressonância magnética cerebral

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