Samantha R. Cook

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All published works

Action	Title	Year	Authors
+ PDF Chat	Using Network-based Causal Inference to Detect the Sources of Contagion in the Currency Market	2021	Katerina Rigana Ernst C. Wit Samantha R. Cook
+	Imputation	2014	Samantha R. Cook Donald B. Rubin
+	Use of Multiple Imputation Models in Medical Device Trials	2007	Donald B. Rubin Samantha R. Cook
+	Imputation	2006	Samantha R. Cook Donald B. Rubin
+ PDF Chat	Validation of Software for Bayesian Models Using Posterior Quantiles	2006	Samantha R. Cook Andrew Gelman Donald B. Rubin
+	A Note on Testing for Homogeneity Among Effect Sizes Sharing a Common Control Group.	2004	Samantha R. Cook
+	Modeling monotone nonlinear disease progression and checking the correctness of the associated software	2004	Donald B. Rubin Samantha R. Cook
+	Working Memory Impairments in Schizophrenia Patients: A Bayesian Bivariate IRT Analysis	2002	Samantha R. Cook John Barnard Yungtai Lo Donald B. Rubin Michael J. Coleman Steven Matthysse Deborah L. Levy Philip S. Holzman

Common Coauthors

Coauthor	Papers Together
Donald B. Rubin	6
John Barnard	1
Katerina Rigana	1
Ernst Wit	1
Andrew Gelman	1
Yungtai Lo	1
Michael J. Coleman	1
Deborah L. Levy	1
Steven Matthysse	1
Philip S. Holzman	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Multiple Imputation for Nonresponse in Surveys	1987	Donald B. Rubin	4
+	Inference and missing data	1976	Donald B. Rubin	4
+	Multiple imputation of missing blood pressure covariates in survival analysis	1999	Stef van Buuren Hendriek C. Boshuizen D.L. Knook	3
+	Multiple Imputation in Practice	2001	Nicholas J. Horton Stuart R. Lipsitz	3
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	3
+	Multiple imputation in health‐are databases: An overview and some applications	1991	Donald B. Rubin Nathaniel Schenker	3
+	Nested multiple imputation of NMES via partially incompatible MCMC	2003	Donald B. Rubin	3
+	Miscellanea. Small-sample degrees of freedom with multiple imputation	1999	John Barnard	3
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	3
+	The Calculation of Posterior Distributions by Data Augmentation	1987	Martin A. Tanner Wing Hung Wong	3
+	A multivariate technique for multiply imputing missing values using a sequence of regression models	2001	Trivellore E. Raghunathan James M. Lepkowski John Van Hoewyk Peter W. Solenberger	3
+ PDF Chat	Multiple Imputation after 18+ Years	1996	Donald B. Rubin	2
+	Analysis of Incomplete Multivariate Data	1997	Joseph L. Schafer	2
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	2
+ PDF Chat	The association value of random shapes.	1959	James M. Vanderplas Everett A. Garvin	1
+	Book review: “Bayesian Data Analysis,” Second Edition by A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Chapman & Hall/CRC, 2004	2005	Jerry Nedelman	1
+ PDF Chat	A note on Metropolis-Hastings kernels for general state spaces	1998	Luke Tierney	1
+	Markov Chain Monte Carlo in Practice	1995	Walter R. Gilks Sylvia Richardson David J. Spiegelhalter	1
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	1
+	A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models	1999	Richard J. Patz Brian W. Junker	1
+	POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES	1996	Andrew Gelman Xiao‐Li Meng Hal S. Stern	1
+ PDF Chat	Multiple Imputation After 18+ Years	1996	Donald B. Rubin	1
+	Modeling monotone nonlinear disease progression and checking the correctness of the associated software	2004	Donald B. Rubin Samantha R. Cook	1
+	Stochastically dependent effect sizes.	1994	Leon Jay Gleser Ingram Olkin	1
+	On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection	1934	Jerzy Neyman	1
+	Approximation for Bayesian Ability Estimation	1988	Robert K. Tsutakawa Michael Soltys	1
+	Distribution Theory for Glass's Estimator of Effect Size and Related Estimators	1981	Larry V. Hedges	1
+	The Monte Carlo Method	1949	N. Metropolis Stanislaw M. Ulam	1
+	A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models	1999	Richard J. Patz Brian W. Junker	1
+	The Calculation of Posterior Distributions by Data Augmentation	1987	Martin A. Tanner Wing Hung Wong	1
+	Repeated Significance Tests on Accumulating Data	1969	P. Armitage C. K. McPherson Beverley Charles Rowe	1
+	Sampling-Based Approaches to Calculating Marginal Densities	1990	Alan E. Gelfand A. F. M. Smith	1
+	Getting It Right	2004	John Geweke	1
+	A simulation-intensive approach for checking hierarchical models	1998	Dipak K. Dey Alan E. Gelfand Tim B. Swartz Pantelis Vlachos	1
+	Estimation of effect size from a series of independent experiments.	1982	Larry V. Hedges	1
+ PDF Chat	The quantitative study of shape and pattern perception.	1956	Fred Attneave Malcolm D. Arnoult	1
+	Statistical Analysis With Missing Data	2003	Nicole A. Lazar	1
+	Bayesian Computation Via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods	1993	A. F. M. Smith Gareth O. Roberts	1
+	On the Two Different Aspects of the Representative Method: the Method of Stratified Sampling and the Method of Purposive Selection	1992	Jerzy Neyman	1
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin	1
+	Posterior predictive model checking in hierarchical models	2002	Sandip Sinharay Hal S. Stern	1
+	The Monte Carlo Method	1949	N. Metropolis Stanislaw M. Ulam	1
+	Distribution Theory for Glass's Estimator of Effect size and Related Estimators	1981	Larry V. Hedges	1
+	Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Death”	2003	Junni L. Zhang Donald B. Rubin	1
+	Sampling-Based Approaches to Calculating Marginal Densities	1990	Alan E. Gelfand A. F. M. Smith	1