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Bias compensation for the bearings-only pseudolinear target track estimatorDOGANCAY, Kutluyil.IEEE transactions on signal processing. 2006, Vol 54, Num 1, pp 59-68, issn 1053-587X, 10 p.Article

Use of allele scores as instrumental variables for Mendelian randomizationBURGESS, Stephen; THOMPSON, Simon G.International journal of epidemiology. 2013, Vol 42, Num 4, pp 1134-1144, issn 0300-5771, 11 p.Article

Instrumental Variable Estimation of Causal Risk Ratios and Causal Odds Ratios in Mendelian Randomization AnalysesPALMER, Tom M; STERNE, Jonathan A. C; HARBORD, Roger M et al.American journal of epidemiology. 2011, Vol 173, Num 12, pp 1392-1403, issn 0002-9262, 12 p.Article

Capitalizing on Prescribing Pattern Variation to Compare Medications for Type 2 DiabetesPRENTICE, Julia C; CONLIN, Paul R; GELLAD, Walid F et al.Value in health. 2014, Vol 17, Num 8, pp 854-862, issn 1098-3015, 9 p.Article

Missing Data Methods in Mendelian Randomization Studies With Multiple InstrumentsBURGESS, Stephen; SEAMAN, Shaun; LAWLOR, Debbie A et al.American journal of epidemiology. 2011, Vol 174, Num 9, pp 1069-1076, issn 0002-9262, 8 p.Article

INSTRUMENTAL VARIABLE MODELS FOR DISCRETE OUTCOMESCHESHER, Andrew.Econometrica. 2010, Vol 78, Num 2, pp 575-601, issn 0012-9682, 27 p.Article

Calculating statistical power in Mendelian randomization studiesBRION, Marie-Jo A; SHAKHBAZOV, Konstantin; VISSCHER, Peter M et al.International journal of epidemiology. 2013, Vol 42, Num 5, pp 1497-1501, issn 0300-5771, 5 p.Article

Testing with many weak instrumentsANDREWS, Donald W. K; STOCK, James H.Journal of econometrics. 2007, Vol 138, Num 1, pp 24-46, issn 0304-4076, 23 p.Article

Lack of Identification in Semiparametric Instrumental Variable Models With Binary OutcomesBURGESS, Stephen; GRANELL, Raquel; PALMER, Tom M et al.American journal of epidemiology. 2014, Vol 180, Num 1, pp 111-119, issn 0002-9262, 9 p.Article

Testing for non-linear causal effects using a binary genotype in a Mendelian randomization study: application to alcohol and cardiovascular traitsSILVERWOOD, Richard J; HOLMES, Michael V; CASAS, Juan P et al.International journal of epidemiology. 2014, Vol 43, Num 6, pp 1781-1790, issn 0300-5771, 10 p.Article

Teachers' Perceptions of Students' Mathematics Proficiency May Exacerbate Early Gender Gaps in AchievementROBINSON-CIMPIAN, Joseph P; LUBIENSKI, Sarah Theule; GANLEY, Colleen M et al.Developmental psychology. 2014, Vol 50, Num 4, pp 1262-1281, issn 0012-1649, 20 p.Article

An Instrumental Variable Vector-Fitting Approach for Noisy Frequency ResponsesBEYGI, Amir; DOUNAVIS, Anestis.IEEE transactions on microwave theory and techniques. 2012, Vol 60, Num 9, pp 2702-2712, issn 0018-9480, 11 p.Article

Avoiding bias from weak instruments in Mendelian randomization studiesBURGESS, Stephen; THOMPSON, Simon G.International journal of epidemiology. 2011, Vol 40, Num 3, pp 755-764, issn 0300-5771, 10 p.Article

From Statistical Associations to Causation : What Developmentalists Can Learn From Instrumental Variables Techniques Coupled With Experimental Data : New methods for new questions in developmental psychologyGENNETIAN, Lisa A; MAGNUSON, Katherine; MORRIS, Pamela A et al.Developmental psychology. 2008, Vol 44, Num 2, pp 381-394, issn 0012-1649, 14 p.Article

Testing a parametric model against a nonparametric alternative with identification through instrumental variablesHOROWITZ, Joel L.Econometrica. 2006, Vol 74, Num 2, pp 521-538, issn 0012-9682, 18 p.Article

Consistent estimation with a large number of weak instrumentsCHAO, John C; SWANSON, Norman R.Econometrica. 2005, Vol 73, Num 5, pp 1673-1692, issn 0012-9682, 20 p.Article

Self-assessed health: What does it mean and what does it hide?AU, Nicole; JOHNSTON, David W.Social science & medicine (1982). 2014, Vol 121, pp 21-28, issn 0277-9536, 8 p.Article

Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature InfantsBAIOCCHI, Mike; SMALL, Dylan S; LORCH, Scott et al.Journal of the American Statistical Association. 2010, Vol 105, Num 492, pp 1285-1296, issn 0162-1459, 12 p.Article

Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responsesPALMER, Tom M; THOMPSON, John R; TOBIN, Martin D et al.International journal of epidemiology. 2008, Vol 37, Num 5, pp 1161-1168, issn 0300-5771, 8 p.Article

Tighter bounds in triangular systemsSUNG JAE JUN; PINKSE, Joris; HAIQING XU et al.Journal of econometrics. 2011, Vol 161, Num 2, pp 122-128, issn 0304-4076, 7 p.Article

The effect of non-differential measurement error on bias, precision and power in Mendelian randomization studiesPIERCE, Brandon L; VANDERWEELE, Tyler J.International journal of epidemiology. 2012, Vol 41, Num 5, pp 1383-1393, issn 0300-5771, 11 p.Article

Effects of Adjusting for Instrumental Variables on Bias and Precision of Effect EstimatesMYERS, Jessica A; RASSEN, Jeremy A; GAGNE, Joshua J et al.American journal of epidemiology. 2011, Vol 174, Num 11, pp 1213-1222, issn 0002-9262, 10 p.Article

Structural equations, treatment effects, and econometric policy evaluationHECKMAN, James J; VYTLACIL, Edward.Econometrica. 2005, Vol 73, Num 3, pp 669-738, issn 0012-9682, 70 p.Conference Paper

High-Accuracy Instrumental Variable Identification of Continuous-Time Autoregressive Processes From Irregularly Sampled Noisy DataMOSSBERG, Magnus.IEEE transactions on signal processing. 2008, Vol 56, Num 8, pp 4087-4091, issn 1053-587X, 5 p., 2Article

Causal Effects of Retirement Timing on Subjective Physical and Emotional HealthCALVO, Esteban; SARKISIAN, Natalia; TAMBORINI, Christopher R et al.The Journals of gerontology. Series B, Psychological sciences and social sciences. 2013, Vol 68, Num 1, pp 73-84, issn 1079-5014, 12 p.Article

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