Search Results - "Sheehan, N A"

Assessing causal treatment effect estimation when using large observational datasets by John, E R, Abrams, K R, Brightling, C E, Sheehan, N A

“…Recently, there has been a heightened interest in developing and evaluating different methods for analysing observational data. This has been driven by the…”
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Special issue on New Developments in Relatedness and Relationship Estimation by Cussens, J., Sheehan, N.A.

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On the use of dense SNP marker data for the identification of distant relative pairs by Sun, M., Jobling, M.A., Taliun, D., Pramstaller, P.P., Egeland, T., Sheehan, N.A.

“…There has been recent interest in the exploitation of readily available dense genome scan marker data for the identification of relatives. However, there are…”
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Structured Incorporation of Prior Information in Relationship Identification Problems by Sheehan, N. A., Egeland, T.

“…Summary The objective of this paper is to show how various sources of information can be modelled and integrated to address relationship identification…”
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Age at Menarche and Time Spent in Education: A Mendelian Randomization Study by Gill, D., Del Greco M, F., Rawson, T. M., Sivakumaran, P., Brown, A., Sheehan, N. A., Minelli, C.

“…Menarche signifies the primary event in female puberty and is associated with changes in self-identity. It is not clear whether earlier puberty causes girls to…”
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DataSHIELD: resolving a conflict in contemporary bioscience—performing a pooled analysis of individual-level data without sharing the data by Wolfson, Michael, Wallace, Susan E, Masca, Nicholas, Rowe, Geoff, Sheehan, Nuala A, Ferretti, Vincent, LaFlamme, Philippe, Tobin, Martin D, Macleod, John, Little, Julian, Fortier, Isabel, Knoppers, Bartha M, Burton, Paul R

“…Background Contemporary bioscience sometimes demands vast sample sizes and there is often then no choice but to synthesize data across several studies and to…”
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Adjusting for founder relatedness in a linkage analysis using prior information by Sheehan, N A, Egeland, T

“…In genetic linkage studies, while the pedigrees are generally known, background relatedness between the founding individuals, assumed by definition to be…”
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On a misconception about irreducibility of the single-site Gibbs sampler in a pedigree application by Cannings, C, Sheehan, N A

“…The analysis of genetic data on groups of related individuals, or pedigrees, frequently necessitates the calculation of probabilities and likelihoods,…”
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On the choice of parameterisation and priors for the Bayesian analyses of Mendelian randomisation studies by Jones, E. M., Thompson, J. R., Didelez, V., Sheehan, N. A.

“…Mendelian randomisation is a form of instrumental variable analysis that estimates the causal effect of an intermediate phenotype or exposure on an outcome or…”
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Family based studies and genetic epidemiology: theory and practice by Barrett, J H, Sheehan, N A, Cox, A, Worthington, J, Cannings, C, Teare, M D

“…Family based studies have underpinned many successes in uncovering the causes of monogenic and oligogenic diseases. Now research is focussing on the…”
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On the Application of Markov Chain Monte Carlo Methods to Genetic Analyses on Complex Pedigrees by Sheehan, N. A.

“…Markov chain Monte Carlo methods are frequently used in the analyses of genetic data on pedigrees for the estimation of probabilities and likelihoods which…”
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Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-sib Design: a Graphical Model Perspective by Sheehan, N.A., Gulbrandtsen, B., Lund, M.S., Sorensen, D.A.

“…Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software may be extremely…”
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Association and Linkage for Age at Onset of a Common Oligogenic Disease Using Genetic Variance Component Models by Scurrah, Katrina J., Sheehan, Nuala A., Burton, Paul R.

“…The aims of our analysis were: (1) to investigate association of single nucleotide polymorphisms (SNPs) and other covariates with age at onset in the simulated…”
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Evaluating the performance of a block updating MCMC sampler in a simple genetic application by Sheehan, N.A, Guldbrandtsen, B, Sorensen, D.A

“…Markov chain Monte Carlo (MCMC) methods have provided an enormous break-through in the analysis of large complex problems such as those which frequently arise…”
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Instrumental Variable Estimation of Causal Risk Ratios and Causal Odds Ratios in Mendelian Randomization Analyses by PALMER, Tom M, STERNE, Jonathan A. C, HARBORD, Roger M, LAWLOR, Debbie A, SHEEHAN, Nuala A, MENG, Sha, GRANELL, Raquel, SMITH, George Davey, DIDELEZ, Vanessa

“…In this paper, the authors describe different instrumental variable (IV) estimators of causal risk ratios and odds ratios with particular attention to methods…”
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Commentary: Can 'many weak' instruments ever be 'strong'? by Sheehan, Nuala A, Didelez, Vanessa

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DataSHIELD – shared individual-level analysis without sharing the data: a biostatistical perspective by Jones, E.M., Sheehan, N.A., Masca, N., Wallace, S.E., Murtagh, M.J., Burton, P.R.

“…Very large sample sizes are required for estimating effects which are known to be small, and for addressing intricate or complex statistical questions. This is…”
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Re: "credible mendelian randomization studies: approaches for evaluating the instrumental variable assumptions" by Palmer, Tom M, Ramsahai, Roland R, Lawlor, Debbie A, Sheehan, Nuala A, Didelez, Vanessa

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Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure by Tobin, Martin D., Sheehan, Nuala A., Scurrah, Katrina J., Burton, Paul R.

“…A population‐based study of a quantitative trait may be seriously compromised when the trait is subject to the effects of a treatment. For example, in a…”
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Block updating in constrained Markov chain Monte Carlo sampling by Hum, Merrilee A., Rue, Håvard, Sheehan, Nuala A.

“…Markov chain Monte Carlo methods are widely used to study highly structured stochastic systems. However, when the system is subject to constraints, it is…”
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