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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

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

On the relationship between behavioural and standard methods for system identificationWEYER, E; WILLIAMSON, R. C; MAREELS, I. M. Y et al.Automatica (Oxford). 1998, Vol 34, Num 6, pp 801-804, issn 0005-1098Article

Noncompliance in lifestyle intervention studies: the instrumental variable method provides insight into the biasHERTOGH, Emmy M; SCHUIT, A. Jantine; PEETERS, Petra H. M et al.Journal of clinical epidemiology. 2010, Vol 63, Num 8, pp 900-906, issn 0895-4356, 7 p.Article

An Approach for Estimating Causal Effects in Randomized Trials with NoncomplianceCHIBA, Yasutaka.Communications in statistics. Theory and methods. 2010, Vol 39, Num 11-12, pp 2146-2156, issn 0361-0926, 11 p.Article

Sample size importantly limits the usefulness of instrumental variable methods, depending on instrument strength and level of confoundingBOEF, Anna G. C; DEKKERS, Olaf M; VANDENBROUCKE, Jan P et al.Journal of clinical epidemiology. 2014, Vol 67, Num 11, pp 1258-1264, issn 0895-4356, 7 p.Article

Instrumental variables II: instrumental variable application—in 25 variations, the physician prescribing preference generally was strong and reduced covariate imbalanceRASSEN, Jeremy A; BROOKHART, M. Alan; GLYNN, Robert J et al.Journal of clinical epidemiology. 2009, Vol 62, Num 12, pp 1233-1241, issn 0895-4356, 9 p.Article

An instrumental variable approach for panel unit root tests under cross-sectional dependenceDONG WAN SHIN; KANG, Seungho.Journal of econometrics. 2006, Vol 134, Num 1, pp 215-234, issn 0304-4076, 20 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

Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variablesFRAZIS, Harley; LOEWENSTEIN, Mark A.Journal of econometrics. 2003, Vol 117, Num 1, pp 151-178, issn 0304-4076, 28 p.Article

The power of modified instrumental variables tests for unit rootsHONGYI LI.Biometrika. 1995, Vol 82, Num 3, pp 660-666, issn 0006-3444Article

Optimal instrumental variable multistep algorithms for estimation of the AR parameters of an ARMA processSTOICA, P; FRIEDLANDER, B; SODERSTROM, T et al.International Journal of Control. 1987, Vol 45, Num 6, pp 2083-2107, issn 0020-7179Article

An unobserved component panel data model to study the effect of earnings surprises on stock prices, trading volumes, and spreadsMADDALA, G. S; NIMALENDRAN, M.Journal of econometrics. 1995, Vol 68, Num 1, pp 229-242, issn 0304-4076Article

Accuracy of some robust estimators based upon prefiltering of the input/output dataHENRIKSEN, R.Modeling, identification and control. 1992, Vol 13, Num 3, pp 141-154, issn 0332-7353Article

Comparison of total least squares and instrumental variable methods for parameter estimation of transfer function modelsVAN HUFFEL, S; VANDEWALLE, J.International Journal of Control. 1989, Vol 50, Num 4, pp 1039-1056, issn 0020-7179Article

Détection de défauts dans les séries temporellesNowakowski, Samuel; Ragot.1989, 233 p.Thesis

Identification et estimation des paramètres d'une équation d'Euler en présence de variables intégrées et cointégrées = Identification and estimation of the parameters of an Euler equation in presence of integrated and cointegrated variablesBOUGHRARA, A.Journal de la Société de statistique de Paris. 1995, Vol 136, Num 3, pp 37-57, issn 0037-914XArticle

Identification and estimation of local average treatment effectsIMBENS, G. W; ANGRIST, J. D.Econometrica. 1994, Vol 62, Num 2, pp 467-475, issn 0012-9682Article

A generalized R2 criterion for regression models estimated by the instrumental variables methodHASHEM PESARAN, M; SMITH, R. J.Econometrica. 1994, Vol 62, Num 3, pp 705-710, issn 0012-9682Article

Instrumental variable applications using nursing home prescribing preferences in comparative effectiveness researchHUYBRECHTS, Krista F; GERHARD, Tobias; FRANKLIN, Jessica M et al.Pharmacoepidemiology and drug safety. 2014, Vol 23, Num 8, pp 830-838, issn 1053-8569, 9 p.Article

Instrumental Variable Analysis for Estimation of Treatment Effects With Dichotomous OutcomesRASSEN, Jeremy A; SCHNEEWEISS, Sebastian; GLYNN, Robert J et al.American journal of epidemiology. 2009, Vol 169, Num 3, pp 273-284, issn 0002-9262, 12 p.Article

The Association Between Vitamin K Antagonist Therapy and Site-specific Cancer Incidence Estimated by Using Heart Valve Replacement as an Instrumental VariableAHERN, Thomas P; PEDERSEN, Lars; SVAERKE, Claus et al.American journal of epidemiology. 2011, Vol 174, Num 12, pp 1382-1390, issn 0002-9262, 9 p.Article

Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variantsPIERCE, Brandon L; AHSAN, Habibul; VANDERWEELE, Tyler J et al.International journal of epidemiology. 2011, Vol 40, Num 3, pp 740-752, issn 0300-5771, 13 p.Article

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