Research graph
References from MR-SPLIT: A novel method to address selection and weak instrument bias in one-sample Mendelian randomization studies. Local targets link to admitted publications; unresolved targets remain external evidence.
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
10.1093/hmg/ddu328 · 2014 · External reference
Mendelian randomization: using genes as instruments for making causal inferences in epidemiology
10.1002/sim.3034 · 2008 · External reference
An introduction to instrumental variables for epidemiologists
10.1093/ije/29.4.722 · 2000 · External reference
‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*
10.1093/ije/dyg070 · 2003 · External reference
A review of instrumental variable estimators for Mendelian randomization
10.1177/0962280215597579 · 2017 · External reference
Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions
10.1093/aje/kwr323 · 2012 · External reference
10.3386/t0151
10.3386/t0151 · 1994 · External reference
Problems with Instrumental Variables Estimation When the Correlation Between the Instruments and the Endogeneous Explanatory Variable is Weak
1995 · External reference
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
10.1093/ije/dyv080 · 2015 · External reference
Identification and inference with many invalid instruments
10.1080/07350015.2014.978175 · 2015 · External reference
Evaluating the potential role of pleiotropy in Mendelian randomization studies
10.1093/hmg/ddy163 · 2018 · External reference
Does compulsory school attendance affect schooling and earnings?
10.2307/2937954 · 1991 · External reference
Guidelines for performing Mendelian randomization investigations: update for summer 2023
10.12688/wellcomeopenres.15555.1 · 2019 · External reference
Split-Sample Instrumental Variables Estimates of the Return to Schooling
10.1080/07350015.1995.10524597 · 1995 · External reference
Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations
10.1214/aoms/1177730090 · 1949 · External reference
Origins of the limited information maximum likelihood and two-stage least squares estimators
10.1016/j.jeconom.2004.09.012 · 2005 · External reference
Avoiding bias from weak instruments in Mendelian randomization studies
10.1093/ije/dyr036 · 2011 · External reference
Jackknife instrumental variables estimation
10.1002/(sici)1099-1255(199901/02)14:1<57::aid-jae501>3.0.co;2-g · 1999 · External reference
Small sample properties of LIML and jackknife IV estimators: Experiments with weak instruments
10.1002/(sici)1099-1255(199901/02)14:1<69::aid-jae521>3.0.co;2-7 · 1999 · External reference
An empirical investigation into the impact of winner’s curse on estimates from Mendelian randomization
10.1093/ije/dyac233 · 2023 · External reference
Cross-fitted instrument: A blueprint for one-sample Mendelian randomization
2022 · External reference
Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants
10.1093/ije/dyq151 · 2010 · External reference
What should the genome-wide significance threshold be? Empirical replication of borderline genetic associations
2011 · External reference
Sure independence screening for ultrahigh dimensional feature space
10.1111/j.1467-9868.2008.00674.x · 2008 · External reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · 1996 · External reference
The adaptive lasso and its oracle properties
10.1198/016214506000000735 · 2006 · External reference
10.3386/t0284
10.3386/t0284 · External reference
Instrument relevance in multivariate linear models: A simple measure
10.1162/rest.1997.79.2.348 · 1997 · External reference
High dimensional variable selection
10.1214/08-aos646 · 2009 · External reference
High-dimensional inference: confidence intervals, p-values and R-software hdi
2015 · External reference
Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures
2019 · External reference
Apparent and true resistant hypertension: definition, prevalence and outcomes
10.1038/jhh.2013.140 · 2014 · External reference
A bidirectional Mendelian randomization study supports causal effects of kidney function on blood pressure
10.1016/j.kint.2020.04.044 · 2020 · External reference
Inflammation and apparent treatment-resistant hypertension in patients with chronic kidney disease: the results from the CRIC study
10.1161/hypertensionaha.118.12358 · 2019 · External reference
Prevalence and prognostic significance of apparent treatment resistant hypertension in chronic kidney disease: report from the chronic renal insufficiency cohort study
10.1161/hypertensionaha.115.06487 · 2016 · External reference
Hypertension control, apparent treatment resistance, and outcomes in the elderly population with chronic kidney disease
10.1016/j.ekir.2016.10.006 · 2017 · External reference
Kidney function decline and apparent treatment-resistant hypertension in the elderly
10.1371/journal.pone.0146056 · 2016 · External reference
GCTA: a tool for genome-wide complex trait analysis
10.1016/j.ajhg.2010.11.011 · 2011 · External reference
Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome
10.1002/sim.6522 · 2015 · External reference
The estimation of economic relationships using instrumental variables
10.2307/1907619 · 1958 · External reference
Likelihood-based Mendelian randomization analysis with automated instrument selection and horizontal pleiotropic modeling
10.1126/sciadv.abl5744 · 2022 · External reference
Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
10.1038/s41467-019-09432-2 · 2019 · External reference
A robust and efficient method for Mendelian randomization with hundreds of genetic variants
10.1038/s41467-019-14156-4 · 2020 · External reference
