Search Results - "Hughes, Rachael A"

Combining Longitudinal Data From Different Cohorts to Examine the Life-Course Trajectory by Hughes, Rachael A, Tilling, Kate, Lawlor, Deborah A

“…Longitudinal data are necessary to reveal changes within an individual as he or she ages. However, rarely will a single cohort study capture data throughout a…”
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From Amino Acids to Heteroaromatics--Thiopeptide Antibiotics, Nature's Heterocyclic Peptides by Hughes, Rachael A, Moody, Christopher J

“…Amino acids, the building blocks of proteins, also serve as precursors to a wide range of other naturally occurring substances including alkaloids,…”
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Childhood neurodevelopmental difficulties and risk of adolescent depression: the role of irritability by Eyre, Olga, Hughes, Rachael A., Thapar, Ajay K., Leibenluft, Ellen, Stringaris, Argyris, Davey Smith, George, Stergiakouli, Evie, Collishaw, Stephan, Thapar, Anita

“…Background Children with neurodevelopmental disorders are at increased risk of developing depression. Irritability predicts depression in the general…”
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Quantitative bias analysis in practice: review of software for regression with unmeasured confounding by Kawabata, Emily, Tilling, Kate, Groenwold, Rolf H H, Hughes, Rachael A

“…Failure to appropriately account for unmeasured confounding may lead to erroneous conclusions. Quantitative bias analysis (QBA) can be used to quantify the…”
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Time-sensitive testing pressures and COVID-19 outcomes: are socioeconomic inequalities over the first year of the pandemic explained by selection bias? by Carter, Alice R, Clayton, Gemma L, Borges, M Carolina, Howe, Laura D, Hughes, Rachael A, Smith, George Davey, Lawlor, Deborah A, Tilling, Kate, Griffith, Gareth J

“…There are many ways in which selection bias might impact COVID-19 research. Here we focus on selection for receiving a polymerase-chain-reaction (PCR)…”
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Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies by Elhakeem, Ahmed, Hughes, Rachael A, Tilling, Kate, Cousminer, Diana L, Jackowski, Stefan A, Cole, Tim J, Kwong, Alex S F, Li, Zheyuan, Grant, Struan F A, Baxter-Jones, Adam D G, Zemel, Babette S, Lawlor, Deborah A

“…Longitudinal data analysis can improve our understanding of the influences on health trajectories across the life-course. There are a variety of statistical…”
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Accounting for missing data in statistical analyses: multiple imputation is not always the answer by Hughes, Rachael A, Heron, Jon, Sterne, Jonathan A C, Tilling, Kate

“…Abstract Background Missing data are unavoidable in epidemiological research, potentially leading to bias and loss of precision. Multiple imputation (MI) is…”
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Total Synthesis of the Thiopeptide Antibiotic Amythiamicin D by Hughes, Rachael A, Thompson, Stewart P, Alcaraz, Lilian, Moody, Christopher J

“…The thiopeptide (or thiostrepton) antibiotics are a class of sulfur containing highly modified cyclic peptides with interesting biological properties,…”
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Maternal and Childhood Psychological Factors Predict Chronic Disabling Fatigue at Age 13 Years by Collin, Simon M., Ph.D, Tilling, Kate, Ph.D, Joinson, Carol, Ph.D, Rimes, Katharine A., Ph.D, Pearson, Rebecca M., Ph.D, Hughes, Rachael A., Ph.D, Sterne, Jonathan A.C., Ph.D, Crawley, Esther, MB.BCh., Ph.D

“…Abstract Purpose To investigate whether premorbid maternal and childhood psychological problems are risk factors for chronic disabling fatigue at age 13 years…”
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Bootstrap inference for multiple imputation under uncongeniality and misspecification by Bartlett, Jonathan W, Hughes, Rachael A

“…Multiple imputation has become one of the most popular approaches for handling missing data in statistical analyses. Part of this success is due to Rubin’s…”
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Selection Bias When Estimating Average Treatment Effects Using One-sample Instrumental Variable Analysis by Hughes, Rachael A, Davies, Neil M, Davey Smith, George, Tilling, Kate

“…Participants in epidemiologic and genetic studies are rarely true random samples of the populations they are intended to represent, and both known and unknown…”
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Stereoselective Synthesis of 4-Hydroxy-2,3,6-trisubstituted Tetrahydropyrans by Barry, Conor St. J, Crosby, Stuart R, Harding, John R, Hughes, Rachael A, King, Clare D, Parker, Gregory D, Willis, Christine L

“…Reaction of homoallylic alcohols with aldehydes in the presence of TFA gives, after hydrolysis of the ester, 4-hydroxy-2,3,6-trisubstituted tetrahydropyrans…”
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Sample-constrained partial identification with application to selection bias by Tudball, Matthew J, Hughes, Rachael A, Tilling, Kate, Bowden, Jack, Zhao, Qingyuan

“…Summary Many partial identification problems can be characterized by the optimal value of a function over a set where both the function and set need to be…”
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Probing the mechanism of Prins cyclisations and application to the synthesis of 4-hydroxytetrahydropyrans by Barry, Conor S, Bushby, Nick, Harding, John R, Hughes, Rachael A, Parker, Gregory D, Roe, Richard, Willis, Christine L

“…Trapping intermediates on the Prins cyclisation pathway with carbon-based nucleophiles has given further insight into factors affecting the acid-mediated…”
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Multiple imputation strategies for missing event times in a multi‐state model analysis by Curnow, Elinor, Hughes, Rachael A., Birnie, Kate, Tilling, Kate, Crowther, Michael J.

“…In clinical studies, multi‐state model (MSM) analysis is often used to describe the sequence of events that patients experience, enabling better understanding…”
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Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location model by Seaman, Shaun R, Hughes, Rachael A

“…Estimating the parameters of a regression model of interest is complicated by missing data on the variables in that model. Multiple imputation is commonly used…”
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Mendelian randomisation with coarsened exposures by Tudball, Matthew J., Bowden, Jack, Hughes, Rachael A., Ly, Amanda, Munafò, Marcus R., Tilling, Kate, Zhao, Qingyuan, Davey Smith, George

“…A key assumption in Mendelian randomisation is that the relationship between the genetic instruments and the outcome is fully mediated by the exposure, known…”
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Exploring the impact of selection bias in observational studies of COVID-19: a simulation study by Millard, Louise A C, Fernández-Sanlés, Alba, Carter, Alice R, Hughes, Rachael A, Tilling, Kate, Morris, Tim P, Major-Smith, Daniel, Griffith, Gareth J, Clayton, Gemma L, Kawabata, Emily, Davey Smith, George, Lawlor, Deborah A, Borges, Maria Carolina

“…Non-random selection of analytic subsamples could introduce selection bias in observational studies. We explored the potential presence and impact of selection…”
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Modelling childhood growth using fractional polynomials and linear splines by Tilling, Kate, Macdonald-Wallis, Corrie, Lawlor, Debbie A, Hughes, Rachael A, Howe, Laura D

“…There is increasing emphasis in medical research on modelling growth across the life course and identifying factors associated with growth. Here, we…”
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Interventions to support shared decision making for hypertension: A systematic review of controlled studies by Johnson, Rachel A., Huntley, Alyson, Hughes, Rachael A., Cramer, Helen, Turner, Katrina M., Perkins, Ben, Feder, Gene

“…Background Hypertension (high blood pressure) is a common long‐term health condition. Patient involvement in treating and monitoring hypertension is essential…”
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