Nuala A Sheehan
Nuala A Sheehan
Professor of Statistical Genetics, University of Leicester
Verified email at
TitleCited byYear
Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure
MD Tobin, NA Sheehan, KJ Scurrah, PR Burton
Statistics in medicine 24 (19), 2911-2935, 2005
Mendelian randomization as an instrumental variable approach to causal inference
V Didelez, N Sheehan
Statistical methods in medical research 16 (4), 309-330, 2007
Mendelian randomisation and causal inference in observational epidemiology
NA Sheehan, V Didelez, PR Burton, MD Tobin
PLoS medicine 5 (8), 2008
Using multiple genetic variants as instrumental variables for modifiable risk factors
TM Palmer, DA Lawlor, RM Harbord, NA Sheehan, JH Tobias, ...
Statistical methods in medical research 21 (3), 223-242, 2012
Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the statistic
J Bowden, F Del Greco M, C Minelli, G Davey Smith, NA Sheehan, ...
International journal of epidemiology 45 (6), 1961-1974, 2016
Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions
MM Glymour, EJ Tchetgen Tchetgen, JM Robins
American journal of epidemiology 175 (4), 332-339, 2012
Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses
TM Palmer, JAC Sterne, RM Harbord, DA Lawlor, NA Sheehan, S Meng, ...
American journal of epidemiology 173 (12), 1392-1403, 2011
Assumptions of IV methods for observational epidemiology
V Didelez, S Meng, NA Sheehan
Statistical Science 25 (1), 22-40, 2010
Graphical models for genetic analyses
SL Lauritzen, NA Sheehan
Statistical Science, 489-514, 2003
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
J Bowden, F Del Greco M, C Minelli, G Davey Smith, N Sheehan, ...
Statistics in medicine 36 (11), 1783-1802, 2017
Association of WNK1 Gene Polymorphisms and Haplotypes With Ambulatory Blood Pressure in the General Population
MD Tobin, SM Raleigh, S Newhouse, P Braund, C Bodycote, J Ogleby, ...
Circulation 112 (22), 3423-3429, 2005
Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome
FD Greco M, C Minelli, NA Sheehan, JR Thompson
Statistics in medicine 34 (21), 2926-2940, 2015
On the irreducibility of a Markov chain defined on a space of genotype configurations by a sampling scheme
N Sheehan, A Thomas
Biometrics, 163-175, 1993
DataSHIELD: resolving a conflict in contemporary bioscience—performing a pooled analysis of individual-level data without sharing the data
M Wolfson, SE Wallace, N Masca, G Rowe, NA Sheehan, V Ferretti, ...
International journal of epidemiology 39 (5), 1372-1382, 2010
DataSHIELD: taking the analysis to the data, not the data to the analysis
A Gaye, Y Marcon, J Isaeva, P LaFlamme, A Turner, EM Jones, J Minion, ...
International journal of epidemiology 43 (6), 1929-1944, 2014
Inferences from genomic models in stratified populations
L Janss, G de los Campos, N Sheehan, D Sorensen
Genetics 192 (2), 693-704, 2012
Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses
TM Palmer, JR Thompson, MD Tobin, NA Sheehan, PR Burton
International journal of epidemiology 37 (5), 1161-1168, 2008
Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
J Bowden, W Spiller, F Del Greco M, N Sheehan, J Thompson, C Minelli, ...
International journal of epidemiology 47 (4), 1264-1278, 2018
Maximum likelihood pedigree reconstruction using integer linear programming
J Cussens, M Bartlett, EM Jones, NA Sheehan
Genetic epidemiology 37 (1), 69-83, 2013
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
J Bowden, F Del Greco M, C Minelli, Q Zhao, DA Lawlor, NA Sheehan, ...
International journal of epidemiology 48 (3), 728-742, 2019
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