Jack Bowden
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Researcher ORCID ID = 0000-0003-2628-3304
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Engineering Computer Science
Jack Bowden's Degrees
- PhD Computer Science Stanford University
- Masters Electrical Engineering University of California, Berkeley
- Bachelors Computer Engineering University of California, Berkeley
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(Suggest an Edit or Addition)Jack Bowden's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (2015) (2860)
- Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator (2016) (2436)
- The MR-Base platform supports systematic causal inference across the human phenome (2018) (2168)
- Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption (2017) (806)
- Methods to estimate the between‐study variance and its uncertainty in meta‐analysis† (2015) (743)
- Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic (2016) (652)
- A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization (2017) (568)
- Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants (2016) (544)
- Evaluating the potential role of pleiotropy in Mendelian randomization studies (2018) (530)
- An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings (2018) (417)
- Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score (2018) (362)
- Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics (2011) (360)
- A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses (2018) (357)
- Recent Developments in Mendelian Randomization Studies (2017) (341)
- Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies1 (2016) (334)
- Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study (2017) (302)
- Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms (2019) (298)
- Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits (2016) (259)
- Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges. (2015) (256)
- Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression (2018) (248)
- Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates (2019) (247)
- Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption (2018) (196)
- MR-Base: a platform for systematic causal inference across the phenome using billions of genetic associations (2016) (190)
- Biological and clinical insights from genetics of insomnia symptoms (2018) (175)
- How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts? (2010) (160)
- Education and coronary heart disease: mendelian randomisation study (2017) (160)
- Assessing causality in associations between cannabis use and schizophrenia risk: a two-sample Mendelian randomization study (2016) (159)
- Inflammatory Biomarkers and Risk of Schizophrenia (2017) (151)
- BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization (2016) (133)
- Anti-SARS-CoV-2 antibody responses are attenuated in patients with IBD treated with infliximab (2021) (129)
- Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization (2020) (129)
- Accelerated longitudinal designs: An overview of modelling, power, costs and handling missing data (2016) (127)
- On Instrumental Variables Estimation of Causal Odds Ratios (2011) (116)
- Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness (2017) (113)
- Meta‐analysis and Mendelian randomization: A review (2019) (113)
- Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization—A Job for the Humble Heterogeneity Statistic? (2018) (110)
- Using Mendelian randomization to determine causal effects of maternal pregnancy (intrauterine) exposures on offspring outcomes: Sources of bias and methods for assessing them (2017) (91)
- Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes (2019) (88)
- Unbiased Estimation of Selected Treatment Means in Two‐Stage Trials (2008) (79)
- Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome (2017) (77)
- Response to Hartwig and Davies (2016) (75)
- The use of two-sample methods for Mendelian randomization analyses on single large datasets (2020) (72)
- Robust instrumental variable methods using multiple candidate instruments with application to Mendelian randomization (2016) (67)
- Detecting and correcting for bias in Mendelian randomization analyses using Gene-by-Environment interactions (2017) (62)
- Mendelian randomization analysis of case‐control data using structural mean models (2011) (58)
- Unbiased estimation of odds ratios: combining genomewide association scans with replication studies (2009) (55)
- Integrating summarized data from multiple genetic variants in Mendelian randomization: bias and coverage properties of inverse-variance weighted methods (2015) (54)
- Age at menarche and adult body mass index: a Mendelian randomization study (2018) (52)
- Investigating causality in associations between education and smoking: a two-sample Mendelian randomization study. (2018) (49)
- Collaborative pooled analysis of data on C-reactive protein gene variants and coronary disease: judging causality by Mendelian randomisation (2008) (45)
- Robust inference in two-sample Mendelian randomisation via the zero modal pleiotropy assumption (2017) (44)
- Body mass index and psychiatric disorders: a Mendelian randomization study (2016) (44)
- Individual patient data meta‐analysis of time‐to‐event outcomes: one‐stage versus two‐stage approaches for estimating the hazard ratio under a random effects model (2011) (43)
- Unbiased estimation for response adaptive clinical trials (2015) (42)
- Mendelian randomization incorporating uncertainty about pleiotropy (2017) (39)
- Age at puberty and risk of asthma: A Mendelian randomisation study (2018) (39)
- Response‐adaptive designs for binary responses: How to offer patient benefit while being robust to time trends? (2017) (38)
- Mendelian randomisation analysis of the effect of educational attainment and cognitive ability on smoking behaviour (2019) (37)
- Hepatitis C virus in body fluids after liver transplantation. (1996) (36)
- Response‐adaptive randomization for multi‐arm clinical trials using the forward looking Gittins index rule (2015) (34)
- A re-evaluation of the ‘quantile approximation method’ for random effects meta-analysis (2008) (33)
- A Mendelian Randomization dictionary: Useful definitions and descriptions for undertaking, understanding and interpreting Mendelian Randomization studies (2019) (33)
- Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples (2017) (33)
- Conditionally unbiased and near unbiased estimation of the selected treatment mean for multistage drop-the-losers trials (2013) (31)
- A multi-stage drop-the-losers design for multi-arm clinical trials (2016) (28)
- Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments (2020) (27)
- Adiposity-Mortality Relationships in Type 2 Diabetes, Coronary Heart Disease, and Cancer Subgroups in the UK Biobank, and Their Modification by Smoking (2018) (27)
- The confidence interval method for selecting valid instrumental variables (2019) (24)
- Navigating sample overlap, winner's curse and weak instrument bias in Mendelian randomization studies using the UK Biobank (2021) (23)
- Reliability of rapid testing for hepatitis B in a region of high HIV endemicity. (2010) (23)
- Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome (2013) (22)
- Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression (2017) (22)
- Confidence intervals for the between-study variance in random-effects meta-analysis using generalised heterogeneity statistics: should we use unequal tails? (2016) (21)
- The use of single armed observational data to closing the gap in otherwise disconnected evidence networks: a network meta-analysis in multiple myeloma (2018) (21)
- GWAS in 446,118 European adults identifies 78 genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates (2018) (19)
- Meta‐analysis of time‐to‐event data: a comparison of two‐stage methods (2011) (18)
- Epidemiology and Genetic Epidemiology (2004) (17)
- Misconceptions on the use of MR-Egger regression and the evaluation of the InSIDE assumption (2017) (17)
- An optimal stratified Simon two‐stage design (2016) (17)
- Empirical Bayes estimation of the selected treatment mean for two-stage drop-the-loser trials: a meta-analytic approach (2014) (16)
- Modelling multiple sources of dissemination bias in meta‐analysis (2010) (16)
- Approximate confidence intervals for moment‐based estimators of the between‐study variance in random effects meta‐analysis (2015) (16)
- Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease (2018) (15)
- Identifying combined design and analysis procedures in two-stage trials with a binary end point (2012) (15)
- Unbiased estimation in seamless phase II/III trials with unequal treatment effect variances and hypothesis‐driven selection rules (2016) (15)
- Genome-wide association analyses of chronotype in 697,828 individuals provides new insights into circadian rhythms in humans and links to disease (2018) (14)
- Investigating the role of insulin in increased adiposity: Bi-directional Mendelian randomization study (2017) (14)
- Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data (2020) (13)
- Accounting for selection and correlation in the analysis of two-stage genome-wide association studies (2016) (12)
- Mendelian randomisation with coarsened exposures (2021) (11)
- The median and the mode as robust meta‐analysis estimators in the presence of small‐study effects and outliers (2020) (11)
- Assessing the Causal Role of Sleep Traits on Glycated Hemoglobin: A Mendelian Randomization Study (2020) (11)
- A review and re-interpretation of a group-sequential approach to sample size re-estimation in two-stage trials (2014) (11)
- Does coffee consumption impact on heaviness of smoking? (2017) (11)
- Using pseudo‐data to correct for publication bias in meta‐analysis (2006) (10)
- Low Vitamin D Levels and Risk of Incident Delirium in 351,000 Older UK Biobank Participants (2020) (10)
- Gaining power and precision by using model–based weights in the analysis of late stage cancer trials with substantial treatment switching (2015) (10)
- Weighing Evidence “Steampunk” Style via the Meta-Analyser (2016) (10)
- The causal effect of educational attainment on Alzheimer’s disease: A two-sample Mendelian randomization study (2017) (10)
- A Two‐Stage Approach to the Correction of Ascertainment Bias in Complex Genetic Studies Involving Variance Components (2007) (9)
- Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy (2020) (9)
- Type I error control in biomarker-stratified clinical trials (2015) (9)
- Testing the principles of Mendelian randomization: Opportunities and complications on a genomewide scale (2017) (9)
- The Triangulation WIthin a STudy (TWIST) framework for causal inference within pharmacogenetic research (2021) (8)
- Estimating the Relative Effectiveness of Treatments in Relapsed/Refractory Multiple Myeloma through a Systematic Review and Network Meta-Analysis (2015) (7)
- Connecting Instrumental Variable methods for causal inference to the Estimand Framework (2020) (6)
- Difficulties in Testing the Instrument Strength Independent of Direct Effect Assumption in Mendelian Randomization. (2017) (6)
- Corrigendum to: An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings (2020) (5)
- A sensitivity analysis framework for the treatment effect measure used in the meta-analysis of comparative binary data from randomised controlled trials (2012) (5)
- Estimating the causal effect of BMI on mortality risk in people with heart disease, diabetes and cancer using Mendelian randomization. (2021) (4)
- An Interval Estimation Approach to Sample Selection Bias (2019) (4)
- Correcting for bias in the selection and validation of informative diagnostic tests (2015) (4)
- Interaction-based Mendelian randomization with measured and unmeasured gene-by-covariate interactions (2020) (4)
- Mendelian randomisation analysis of the effect of educational attainment and cognitive ability on smoking behaviour (2019) (4)
- Statin treatment effectiveness and the SLCO1B1*5 reduced function genotype: Long‐term outcomes in women and men (2021) (4)
- Genome-wide association analysis of excessive daytime sleepiness identifies 42 loci that suggest phenotypic subgroups (2018) (3)
- Patient drift and response-adaptive randomisation: impact and solutions (2015) (3)
- Investigating causality in associations between education and smoking: A two-sample Mendelian randomization study (2017) (3)
- Calcium‐channel blockers: Clinical outcome associations with reported pharmacogenetics variants in 32 000 patients (2022) (2)
- Designing a preliminary adaptive study to inform a biomarker trial in Psoriasis (2011) (2)
- On the physical interpretation of a meta-analysis in the presence of heterogeneity and bias: from clinical trials to Mendelian randomization (2015) (2)
- Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms (2019) (2)
- Analysis of CYP2C19 genetic variants with ischaemic events in UK patients prescribed clopidogrel in primary care: a retrospective cohort study (2021) (2)
- Islet Autoantibody Level Distribution in Type 1 Diabetes and Their Association With Genetic and Clinical Characteristics (2021) (2)
- Sensitivity to missing not at random dropout in clinical trials: Use and interpretation of the trimmed means estimator (2021) (1)
- Genetic variation in activating clopidogrel: longer-term outcomes in a large community cohort (2021) (1)
- Sparse Dimensionality Reduction Approaches in Mendelian Randomization with highly correlated exposures (2022) (1)
- Sample-constrained partial identification with application to selection bias (2019) (1)
- Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome (2013) (1)
- Should RECOVERY have used response adaptive randomisation? Evidence from a simulation study (2021) (1)
- Applying Mendelian randomization to appraise causality in relationships between nutrition and cancer (2021) (1)
- Evaluation of the causal effect of fibrinogen on incident coronary heart disease via Mendelian randomization (2018) (1)
- A simple framework for Mendelian randomisation of latent continuous exposures with discrete measurements (2020) (1)
- The median and the mode as robust meta-analysis methods in the presence of small study effects (2018) (1)
- Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates (2019) (0)
- Biological and clinical insights from genetics of insomnia symptoms (2019) (0)
- Application of Advanced Mendelian Randomization Methods, to Investigate Whether Low Education Causes Coronary Heart Disease (2016) (0)
- Title: Biological and clinical insights from genetics of insomnia symptoms Short Title: Insights from genetics of insomnia symptoms (2018) (0)
- On the use of data augmentation to model biomedical data in the presence of selection bias (2007) (0)
- (2018). Adiposity-Mortality Relationships in Type 2 Diabetes, Coronary Heart Disease and Cancer Subgroups in the UK Biobank, and Their Modification by Smoking. Diabetes Care , [dc172508]. (2018) (0)
- Realising the full potential of MR-PHeWAS in cancer (2020) (0)
- Referee acknowledgement for 2020 (2021) (0)
- Triangulating Instrumental Variable, confounder adjustment and Difference-in-Difference methods for comparative effectiveness research in observational data (2022) (0)
- Incorporating discovery and replication GWAS into summary data Mendelian randomization studies: A review of current methods and a simple, general and powerful alternative (2023) (0)
- Testing for Weak Instruments in Two Sample Summary Data Multivariable Mendelian Randomisation (2021) (0)
- 188-LB: Type 2 Diabetes Is Genetically Correlated with Multiple Long-Term Conditions but These Correlations Are Only Partly Explained by BMI (2021) (0)
- An Interval Estimation Approach to Selection Bias in Observational Studies (2019) (0)
- Mendelian Randomization Concerns-Reply. (2018) (0)
- Adaptive enrichment in biomarker-stratified clinical trial design (2013) (0)
- W59. PHYSICAL ACTIVITY AND MENTAL HEALTH: A MENDELIAN RANDOMIZATION STUDY (2021) (0)
- OP03 Anti-SARS-CoV2 antibody responses are attenuated in patients with Inflammatory Bowel Disease treated with infliximab (2021) (0)
- MR-AHC: A fast, efficient and robust method for two-sample summary data Mendelian randomization based on agglomerative hierarchical clustering (2023) (0)
- Mendelian randomisation study of body composition and depression in people of East Asian ancestry highlights potential setting-specific causality (2023) (0)
- Investigating a possible causal relationship between maternal serum urate concentrations and offspring birthweight: a Mendelian randomization study (2022) (0)
- TU35. INFLAMMATION AND OVERWEIGHT AS PUTATIVE RISK FACTORS FOR DEPRESSION: A MULTIVARIABLE MENDELIAN RANDOMIZATION STUDY (2021) (0)
- Association between genetically elevated levels of inflammatory biomarkers and risk of schizophrenia: a two-sample Mendelian randomisation study (2017) (0)
- TH31. HIGHER BMI CAUSES LOWER ODDS OF DEPRESSION IN INDIVIDUALS OF EAST ASIAN ANCESTRY (2021) (0)
- Weak and pleiotropy robust sex‐stratified Mendelian randomization in the one sample and two sample settings (2023) (0)
- Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits. Nature Genetics , (2), 274–281. (2016) (0)
- A latent variable scorecard for neonatal baby frailty (2005) (0)
- ReHILAE: is the Re-ionisation of Hydrogen-I the sole consequence of Lyman-alpha Emitters? (2020) (0)
- Estimating and visualising multivariable Mendelian randomization analyses within a radial framework (2023) (0)
- Correcting for selection bias in two-stage trials with multiple correlated outcomes: application to seamless phase ii/iii clinical trials (2015) (0)
- Numerical integration with an application in sample size reestimation (2012) (0)
- Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization—A Job for the Humble Heterogeneity Statistic? American Journal of Epidemiology, 187(12), 2681-2685. [kwy185] (2018) (0)
- Revisiting the multi-armed bandit model for the optimal design of clinical trials: benefits and drawbacks (2013) (0)
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