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1. Full Text Instrumental Variables: Application and Limitations
by Edwin P. Martens and Wiebe R. Pestman and Anthonius de Boer and Svetlana V. Belitser and Olaf H. Klungel
Epidemiology (Cambridge, Mass.), ISSN 1044-3983, 5/2006, Volume 17, Issue 3, pp. 260 - 267
Estimation bias | Encouragement | Least squares | Instrumental variables | Instrumental variables estimation | Sampling bias | Unbiased estimators | Cigarette smoking | Epidemiology | Estimators | Biomedische technologie en medicijnen | Public Health | International (English) | Farmacie(FARM) | Ziekenhuisstructuur en organisatie van de gezondheidszorg | Life Sciences & Biomedicine | Public, Environmental & Occupational Health | Science & Technology | Public health. Hygiene-occupational medicine | Public health. Hygiene | Biological and medical sciences | Miscellaneous | Medical sciences | Epidemiologic Studies | Confounding Factors (Epidemiology) | Models, Statistical | United States | Bias | Index Medicus
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2. Full Text Errors-in-variables identification in dynamic networks — Consistency results for an instrumental variable approach
by Dankers, Arne and Van den Hof, Paul M.J and Bombois, Xavier and Heuberger, Peter S.C
Automatica (Oxford), ISSN 0005-1098, 12/2015, Volume 62, pp. 39 - 50
Instrumental variables | Dynamic networks | System identification | Closed-loop system identification | Errors-in-variables | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology | Analysis | Sensors | Engineering Sciences | Automatic
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3. Full Text Instrumental variables II: instrumental variable application—in 25 variations, the physician prescribing preference generally was strong and reduced covariate imbalance
by Rassen, Jeremy A and Brookhart, M. Alan and Glynn, Robert J and Mittleman, Murray A and Schneeweiss, Sebastian
Journal of clinical epidemiology, ISSN 0895-4356, 2009, Volume 62, Issue 12, pp. 1233 - 1241
Internal Medicine | Pharmacoepidemiology | Instrumental variable | Confounding factor (epidemiology) | Partial R-squared | Physician prescribing preference | Antipsychotic agents | Mahalanobis distance | Health Care Sciences & Services | Public, Environmental & Occupational Health | Life Sciences & Biomedicine | Science & Technology | Public health. Hygiene-occupational medicine | Public health. Hygiene | General aspects | Miscellaneous | Health participants | Biological and medical sciences | Medical sciences | Epidemiology | Antipsychotic Agents - administration & dosage | Epidemiologic Research Design | Practice Patterns, Physicians' - statistics & numerical data | Algorithms | Confounding Factors (Epidemiology) | Antipsychotic Agents - adverse effects | Humans | Mortality | Aged, 80 and over | Aged | Pennsylvania - epidemiology | British Columbia - epidemiology | Medical colleges | Public health | Prescription writing | Index Medicus
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4. Full Text Model-Implied Instrumental Variable—Generalized Method of Moments (MIIV-GMM) Estimators for Latent Variable Models
by Bollen, Kenneth A and Bollen, Kenneth A and Kolenikov, Stanislav and Kolenikov, Stanislav and Bauldry, Shawn and Bauldry, Shawn
Psychometrika, ISSN 0033-3123, 1/2014, Volume 79, Issue 1, pp. 20 - 50
factor analysis | instrumental variables | latent variables | Psychology | Assessment, Testing and Evaluation | Psychometrics | Statistical Theory and Methods | structural equation models | generalized method of moments | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | Mathematics, Interdisciplinary Applications | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Psychology, Mathematical | Humans | Psychometrics - methods | Statistics as Topic - methods | Index Medicus | Data processing
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5. Full Text TWO-SAMPLE INSTRUMENTAL VARIABLES ESTIMATORS
by Atsushi Inoue and Gary Solon
The review of economics and statistics, ISSN 0034-6535, 8/2010, Volume 92, Issue 3, pp. 557 - 561
Maximum likelihood estimation | Analytical estimating | Least squares | Instrumental variables estimation | Instrumental variables | Standard error | Covariance matrices | Estimators | Consistent estimators | Estimation methods | Articles | Economics | Business & Economics | Social Sciences | Mathematical Methods In Social Sciences | Social Sciences, Mathematical Methods | Usage | Instrumental variables (Statistics) | Analysis | Estimation theory | Studies | Variables | Regression analysis | Comparative analysis | Econometrics | Asymptotic methods | Estimates
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6. Full Text Instrumental Variables: An Econometrician's Perspective
by Guido W. Imbens
Statistical science, ISSN 0883-4237, 8/2014, Volume 29, Issue 3, pp. 323 - 358
Economic models | Supply and demand | Economic modeling | Supply | Inference | Instrumental variables | Instrumental variables estimation | Econometrics | Estimators | Economic statistics | Randomized experiments | Selection models | Potential outcomes | Noncompliance | Simultaneous equations models | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Supply & demand | Statistical methods | Statistical analysis | Statistics - Methodology | randomized experiments | potential outcomes | selection models | noncompliance
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7. Full Text A weak instrument F-test in linear IV models with multiple endogenous variables
by Sanderson, Eleanor and Windmeijer, Frank
Journal of econometrics, ISSN 0304-4076, 02/2016, Volume 190, Issue 2, pp. 212 - 221
Weak instruments | [formula omitted]-test | Multiple endogenous variables | F-test | Weak instrumentsMultiple endogenous variables | Economics | Mathematics, Interdisciplinary Applications | Physical Sciences | Social Sciences | Social Sciences, Mathematical Methods | Business & Economics | Mathematics | Mathematical Methods In Social Sciences | Science & Technology | Studies | Fourier analysis | Sample size | Eigen values
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8. Full Text Genetic markers as instrumental variables
by von Hinke, Stephanie and Davey Smith, George and Lawlor, Debbie A and Propper, Carol and Windmeijer, Frank
Journal of health economics, ISSN 0167-6296, 01/2016, Volume 45, pp. 131 - 148
ALSPAC | Instrumental variables | Mendelian randomization | Genetic variants | Potential outcomes | Economics | Social Sciences | Life Sciences & Biomedicine | Health Care Sciences & Services | Business & Economics | Health Policy & Services | Science & Technology | Genetic Variation | Algorithms | Bias | Humans | Mendelian Randomization Analysis | England | Genetic Markers | Longitudinal Studies | Genetic research | Economists | Genetic markers | Epidemiology | Markers | Biomedical data | Statistics | Conditions | Studies | Variants | Genotype & phenotype | Genetic variance | Research methodology | Econometrics | Genotypes | Health administration | Genotype phenotype | Availability | Receiving | Health | Genetics
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9. Full Text The medical care costs of obesity: An instrumental variables approach
by Cawley, John and Meyerhoefer, Chad
Journal of health economics, ISSN 0167-6296, 01/2012, Volume 31, Issue 1, pp. 219 - 230
Externalities | Obesity | Medical care costs | Insurance | Economics | Social Sciences | Life Sciences & Biomedicine | Health Care Sciences & Services | Business & Economics | Health Policy & Services | Science & Technology | Young Adult | Models, Econometric | Health Care Costs - statistics & numerical data | Humans | Middle Aged | Adult | Female | Male | Obesity - economics | Medical errors | Analysis | Health care industry | Medical economics | Medical care, Cost of | Externalities (Economics) | Studies | Economic models | Health care expenditures | Externality | Impact analysis | Instrumental variables | Health administration
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