Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome.
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Mendelian Randomization as an Approach to Assess Causality Using Observational Data.Mendelian randomisation implicates hyperlipidaemia as a risk factor for colorectal cancer.Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study.Mendelian randomization study of adiposity-related traits and risk of breast, ovarian, prostate, lung and colorectal cancer.Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies.Low LDL cholesterol, PCSK9 and HMGCR genetic variation, and risk of Alzheimer's disease and Parkinson's disease: Mendelian randomisation studyObesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization studyBilirubin as a potential causal factor in type 2 diabetes risk: a Mendelian randomization study.Using multivariable Mendelian randomization to disentangle the causal effects of lipid fractionsIron and hepcidin as risk factors in atherosclerosis: what do the genes say?Association between Adult Height and Risk of Colorectal, Lung, and Prostate Cancer: Results from Meta-analyses of Prospective Studies and Mendelian Randomization Analyses.The effects of height and BMI on prostate cancer incidence and mortality: a Mendelian randomization study in 20,848 cases and 20,214 controls from the PRACTICAL consortium.Effect of Insulin Resistance on Monounsaturated Fatty Acid Levels: A Multi-cohort Non-targeted Metabolomics and Mendelian Randomization StudyLow-density-lipoprotein cholesterol concentrations and risk of incident diabetes: epidemiological and genetic insights from the Framingham Heart Study.A Mendelian Randomization Study of Plasma Homocysteine and Multiple Myeloma.A significant causal association between C-reactive protein levels and schizophreniaThe causal relevance of body mass index in different histological types of lung cancer: A Mendelian randomization studyBias due to participant overlap in two-sample Mendelian randomizationMendelian randomisation applied to drug development in cardiovascular disease: a review.A review of instrumental variable estimators for Mendelian randomization.Interpreting findings from Mendelian randomization using the MR-Egger method.Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity.Insight into rheumatological cause and effect through the use of Mendelian randomization.Power calculator for instrumental variable analysis in pharmacoepidemiology.Differential effects of PCSK9 variants on risk of coronary disease and ischaemic stroke.The Role of Obesity, Type 2 Diabetes, and Metabolic Factors in Pancreatic Cancer: A Mendelian Randomization Study.Circulating insulin-like growth factors and Alzheimer disease: A mendelian randomization study.Serum iron level and kidney function: a Mendelian randomization study.Coffee intake, cardiovascular disease and all-cause mortality: observational and Mendelian randomization analyses in 95 000-223 000 individuals.Blood lipid genetic scores, the HMGCR gene and cancer risk: a Mendelian randomization study.Impact of atopy on risk of glioma: a Mendelian randomisation study.Influence of obesity-related risk factors in the aetiology of glioma.Causal null hypotheses of sustained treatment strategies: What can be tested with an instrumental variable?Role of obesity in smoking behaviour: Mendelian randomisation study in UK Biobank.Maternal iron status during pregnancy and respiratory and atopic outcomes in the offspring: a Mendelian randomisation study.Common Methods for Performing Mendelian Randomization.Genetic Contributions to The Association Between Adult Height and Head and Neck Cancer: A Mendelian Randomization Analysis.Habitual coffee consumption and cognitive function: a Mendelian randomization meta-analysis in up to 415,530 participants.Which Risk Factors Causally Influence Dementia? A Systematic Review of Mendelian Randomization Studies.Vitamin D and risk of pregnancy related hypertensive disorders: mendelian randomisation study.
P2860
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P2860
Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Sample size and power calculat ...... variable and a binary outcome.
@en
type
label
Sample size and power calculat ...... variable and a binary outcome.
@en
prefLabel
Sample size and power calculat ...... variable and a binary outcome.
@en
P2860
P356
P1476
Sample size and power calculat ...... variable and a binary outcome.
@en
P2860
P304
P356
10.1093/IJE/DYU005
P577
2014-03-06T00:00:00Z