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P184
Economic instruments for obesity prevention: results of a scoping review and modified Delphi surveyMethodological approach for assessing the cost-effectiveness of treatments using longitudinal observational data: the SOHO study.Keep it simple? Predicting primary health care costs with clinical morbidity measuresThe many weak instruments problem and Mendelian randomization.Child height, health and human capital: Evidence using genetic markers.Is infant weight associated with childhood blood pressure? Analysis of the Promotion of Breastfeeding Intervention Trial (PROBIT) cohort.What are the effects of varenicline compared with nicotine replacement therapy on long-term smoking cessation and clinically important outcomes? Protocol for a prospective cohort study.The role of common genetic variation in educational attainment and income: evidence from the National Child Development Study.Methodological aspects in the assessment of treatment effects in observational health outcomes studies.Genetic markers as instrumental variables.Implications of comorbidity for primary care costs in the UK: a retrospective observational studyValidation of suicide and self-harm records in the Clinical Practice Research Datalink.Smoking cessation treatment and risk of depression, suicide, and self harm in the Clinical Practice Research Datalink: prospective cohort studyRobust inference for the Two-Sample 2SLS estimator.Physicians' prescribing preferences were a potential instrument for patients' actual prescriptions of antidepressants.More reliable inference for the dissimilarity index of segregation.Issues in the reporting and conduct of instrumental variable studies: a systematic review.How to sell a condom? The impact of demand creation tools on male and female condom sales in resource limited settings.Power calculator for instrumental variable analysis in pharmacoepidemiology.How to compare instrumental variable and conventional regression analyses using negative controls and bias plots.The effect of fat mass on educational attainment: examining the sensitivity to different identification strategies.Identification of causal effects on binary outcomes using structural mean models.COX-2 selective nonsteroidal anti-inflammatory drugs and risk of gastrointestinal tract complications and myocardial infarction: an instrumental variable analysis.The cost of relapse in patients with schizophrenia in the European SOHO (Schizophrenia Outpatient Health Outcomes) study.Use of genotype frequencies in medicated groups to investigate prescribing practice: APOE and statins as a proof of principle.Authors' reply to Davies.Is Mendelian randomization 'lost in translation?': comments on 'Mendelian randomization equals instrumental variable analysis with genetic instruments' by Wehby et al.Cost-utility analysis of treatment with olanzapine compared with other antipsychotic treatments in patients with schizophrenia in the pan-European SOHO study.A weak instrument F-test in linear IV models with multiple endogenous variables.Modelling supply and demand influences on the use of health care: implications for deriving a needs-based capitation formula.The effectiveness of varenicline versus nicotine replacement therapy on long-term smoking cessation in primary care: a prospective cohort study of electronic medical records.The effects of prescribing varenicline on two-year health outcomes: an observational cohort study using electronic medical records.Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level.Mendelian randomization: the use of genes in instrumental variable analyses.The causal effects of education on health outcomes in the UK BiobankThe effect of education on adult mortality, health, and income: triangulating across genetic and policy reformsIncentives and targets in hospital care: Evidence from a natural experimentIndividual effects and dynamics in count data modelsDid 'Targets and Terror' Reduce Waiting Times in England for Hospital Care?On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments
P50
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P50
description
Wirtschaftswissenschaftler (Tä ...... t. for Fiscal Studies, London)
@de
economist (University of Bristol; Centre for Microdata Methods and Practice (CEMMAP))
@en
econoom
@nl
name
Frank A. G. Windmeijer
@ast
Frank A. G. Windmeijer
@de
Frank A. G. Windmeijer
@en
Frank A. G. Windmeijer
@es
Frank A. G. Windmeijer
@fr
Frank A. G. Windmeijer
@it
Frank A. G. Windmeijer
@nl
Frank A. G. Windmeijer
@pt
type
label
Frank A. G. Windmeijer
@ast
Frank A. G. Windmeijer
@de
Frank A. G. Windmeijer
@en
Frank A. G. Windmeijer
@es
Frank A. G. Windmeijer
@fr
Frank A. G. Windmeijer
@it
Frank A. G. Windmeijer
@nl
Frank A. G. Windmeijer
@pt
altLabel
Franciscus Adrianus Gijsbertus Windmeijer
@en
Frank Windmeijer
@de
Frank Windmeijer
@en
Frank Windmeijer
@es
Frank Windmeijer
@fr
Frank Windmeijer
@it
Frank Windmeijer
@nl
Frank Windmeijer
@pt
prefLabel
Frank A. G. Windmeijer
@ast
Frank A. G. Windmeijer
@de
Frank A. G. Windmeijer
@en
Frank A. G. Windmeijer
@es
Frank A. G. Windmeijer
@fr
Frank A. G. Windmeijer
@it
Frank A. G. Windmeijer
@nl
Frank A. G. Windmeijer
@pt
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P184
P1960
lFphLSEAAAAJ
P21
P214
P227
P2428
P31
P4955
P496
0000-0002-4232-2783
P569
1964-01-01T00:00:00Z
P6815
P735
P7859
lccn-n93075125