J. Seaman

发表

Introduction to the theory of coverage processes

J. Seaman, 1990 .

Sample Size Methodology

J. Seaman, 2012 .

A probabilistic and statistical view of fuzzy methods

W. Woodall, J. Seaman, Michael Laviolette, 1995 .

Binary Regression with Misclassified Response and Covariate Subject to Measurement Error: a Bayesian Approach

J. Seaman, J. Stamey, A. McGlothlin, 2008, Biometrical journal. Biometrische Zeitschrift.

The current state of Bayesian methods in nonclinical pharmaceutical statistics: Survey results and recommendations from the DIA/ASA‐BIOP Nonclinical Bayesian Working Group

Steven J Novick, Steven J. Novick, J. Seaman, 2020, Pharmaceutical statistics.

The current state of Bayesian methods in medical product development: survey results and recommendations from the DIA Bayesian Scientific Working Group

J. Seaman, B. Neuenschwander, D. Ohlssen, 2014, Pharmaceutical statistics.

Statistical inference with partial prior information based on a Gauss-type inequality

D. Young, J. Seaman, L. Meaux, 2002 .

Hierarchical Bayesian analysis of the carryover effect in two-period crossover designs

J. Seaman, S. R. David, Solomon R. David, 2002 .

Probability inequalities for continuous unimodal random variables with finite support

Dean M. Young, John W. Seaman, Virgil R. Marco, 1988 .

A ratio-of-uniforms method for generating exponential power variates

Dean M. Young, John W. Seaman, Danny W. Turner, 1990 .

A comparison of parametric conditional error-rate estimators for the two-group linear discriminant function

D. Young, J. Seaman, L. Meaux, 2001 .

Moments of Discrete Probability Distributions Derived Using a Differential Operator

D. Young, J. Seaman, T. Boullion, 1992 .

A characterization of the independence - distribution - preserving covariance structure for the multivariate maximum squared - radii statistic

D. Young, J. Seaman, L. Meaux, 1992 .

A Bayesian Approach to Assessing the Superiority of a Dose Combination

J. Seaman, Melinda Miller, 1998 .

A characterization of nonnegative-definite independence distribution-preserving covariance structures for the maximum squared-radii statistic

D. Young, J. Seaman, L. Meaux, 1996 .

Independence-distribution-preserving dependency structures for the modified likelihood ratio test for detecting unequal covariance matrices

D. Young, J. Seaman, L. Meaux, 1994 .

TOPOGRAPHIC ANALYSIS OF PHOTORECEPTOR LOSS CORRELATED WITH DISEASE MORPHOLOGY IN NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.

U. Schmidt-Erfurth, J. Seaman, S. Waldstein, 2019, Retina.

Topical Ocular Anti-TNFα Agent Licaminlimab in the Treatment of Acute Anterior Uveitis: A Randomized Phase II Pilot Study

J. Seaman, Theodore A. Pasquali, G. Weissgerber, 2022, Translational vision science & technology.

On Goldstein’s variance bound

P. Odell, J. Seaman, 1985, Advances in Applied Probability.

A Note on Inference on Multiple Generalized Poisson Populations

J. Seaman, J. Stamey, T. L. Bratcher, 2008 .

Bayesian Sample Size Determination for a Clinical Trial with Correlated Continuous and Binary Outcomes

J. Seaman, J. Stamey, F. Natanegara, 2013, Journal of biopharmaceutical statistics.

The Practice of Prior Elicitation

John W. Seaman, Timothy H. Montague, Karen L. Price, 2019, Bayesian Applications in Pharmaceutical Development.

L. T. Hobhouse and the Theory of “Social Liberalism”

J. Seaman, 1978, Canadian Journal of Political Science/Revue canadienne de science politique.

Urn models for evolutionary learning games

J. Seaman, N. D. Tracy, 1992 .

Hobbes and the Liberalization of Christianity

J. Seaman, 1999, Canadian Journal of Political Science.

Earliest Archaeological Evidence of Persistent Hominin Carnivory

R. Potts, J. Seaman, D. Braun, 2013, PloS one.

On Retrieving Macpherson's Liberalism

J. Seaman, T. J. Lewis, 1984, Canadian Journal of Political Science.

Bayesian sample‐size determination for inference on two binomial populations with no gold standard classifier

John W Seaman, James D Stamey, Dean M Young, 2005, Statistics in medicine.

Hidden Dangers of Specifying Noninformative Priors

James D. Stamey, John W. Seaman, J. Seaman, 2012 .

Bayesian Methods

John W. Seaman, J. Seaman, 2001, Technometrics.

[A Probabilistic and Statistical View of Fuzzy Methods]: Reply

William H. Woodall, John W. Seaman, J. Douglas Barrett, 1995 .

A Distribution-Free Bayesian Approach for Determining the Joint Probability of Failure of Materials Subject to Multiple Proof Loads

Harry F. Martz, Elisabeth J. Umble, John W. Seaman, 1999, Technometrics.

A Kolmogorov inequality for the sum of independent Bernoulli random variables with unequal means

Dean M. Young, John W. Seaman, Danny W. Turner, 1995 .

Improved Kolmogorov inequalities for the binomial distribution

D. Young, J. Seaman, D. Turner, 1992 .

A Note on a Kolmogorov Inequality for the Binomial Distribution

J. Seaman, D. M. Young, D. Turner, 1988 .

A note on a Kolmogorov inequality

Virgil R. Marco, D. Young, J. Seaman, 1987 .

Topics in Bayesian inference: Induced priors, proof loading for combination drugs, and distribution of archaeological skeletal assemblages

John W. Seaman, J. Seaman, 2010 .

Maximum variance unimodal distributions

John W. Seaman, Dean M Young, D. Young, 1985 .

A note on improved variance bounds for certain bounded unimodal distributions

Virgil R. Marco, D. Young, J. Seaman, 1986 .

A Brief Guide to Bayesian Model Checking

James D. Stamey, John W. Seaman, David Kahle, 2019, Bayesian Applications in Pharmaceutical Development.

Independence Distribution Preserving Covariance Structures for the Multivariate Linear Model

Dean M. Young, John W. Seaman, D. Young, 1999 .

Multivariate regression analysis with dependent observations: conditions for the invariance of the distribution of the Lawley-Hotelling test for the model utility

D. Young, J. Seaman, L. Meaux, 1994 .

Measurement and Calibration for Quality Assurance

John W. Seaman, J. Seaman, 1991 .

Bayesian assurance and sample size determination in the process validation life-cycle

Paul Faya, John W Seaman, James D Stamey, 2017, Journal of biopharmaceutical statistics.

Topical Anti-TNFα Agent Licaminlimab (OCS-02) Relieves Persistent Ocular Discomfort in Severe Dry Eye Disease: A Randomized Phase II Study

J. Seaman, G. Weissgerber, E. McLaurin, 2022, Clinical ophthalmology.

The efficacy of fuzzy representations of uncertainty

John W. Seaman, Michael Laviolette, J. Seaman, 1994, IEEE Trans. Fuzzy Syst..

Caveat emptor: rank transform methods and interaction.

J W Seaman, S C Walls, S E Wise, 1994, Trends in ecology & evolution.

Multiple imputation techniques in small sample clinical trials

John W Seaman, Sunni A Barnes, Stacy R Lindborg, 2006, Statistics in medicine.

POLYHEDRON GRAPHS FOR DISPLAYING MULTIVARIATE DATA

D. Young, J. Seaman, D. Turner, 1987 .

A Bayesian approach to correct for unmeasured or semi-unmeasured confounding in survival data using multiple validation data sets

Wei Shen, James D. Stamey, Xiang Zhang, 2017 .

Bayesian modeling of cost‐effectiveness studies with unmeasured confounding: a simulation study

Douglas Faries, John W Seaman, James D Stamey, 2014, Pharmaceutical statistics.

Calculation of multivariate Chebyshev-type inequalities

John W. Seaman, T. L. Boullion, J. Seaman, 1990 .

A Bayesian Approach to Determination of F, D, and Z Values Used in Steam Sterilization Validation

J. Seaman, J. Stamey, Paul Faya, 2016, PDA Journal of Pharmaceutical Science and Technology.

Comparison of Bayesian and Frequentist Meta-Analytical Approaches for Analyzing Time to Event Data

John W Seaman, James D Stamey, Karen L Price, 2013, Journal of biopharmaceutical statistics.

Bayesian modeling of retrospective time-to-pregnancy data with digit preference bias

John W. Seaman, Karen L. Price, J. Seaman, 2006, Math. Comput. Model..

Using accelerated drug stability results to inform long‐term studies in shelf life determination

Paul Faya, John W Seaman, James D Stamey, 2018, Statistics in medicine.

Stability analysis using mixed models: A critique of tolerance interval methods and a probabilistic solution

J. Seaman, Paul Faya, Dwaine Banton, 2023, Pharmaceutical statistics.

“A Bayesian sensitivity analysis to evaluate the impact of unmeasured confounding with external data: a real world comparative effectiveness study in osteoporosis”

J. Seaman, D. Faries, N. Boytsov, 2016, Pharmacoepidemiology and drug safety.

The variance of a truncated mixed exponential process

Jaimie L. Hebert, J. Seaman, 1994, Journal of Applied Probability.

A characterization of discrete unimodality with applications to variance upper bounds

D. Young, J. Seaman, S. E. Navard, 1993 .

Evaluating the impact of unmeasured confounding with internal validation data: an example cost evaluation in type 2 diabetes.

Karen Price, John W. Seaman, Douglas Faries, 2013, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

Bayesian Estimation of Intervention Effect with Pre- and Post-Misclassified Binomial Data

D. Young, J. Seaman, J. Stamey, 2007, Journal of biopharmaceutical statistics.

Continuous Method Validation: Beyond One-Time Studies to Characterize Analytical Methods

Steven J. Novick, John J. Peterson, J. Seaman, 2022, Statistics in Biopharmaceutical Research.

Bayesian Inference for a Correlated 2 × 2 Table with a Structural Zero

D. Young, J. Seaman, J. Stamey, 2006, Biometrical journal. Biometrische Zeitschrift.

A Bayesian approach to adjust for diagnostic misclassification between two mortality causes in Poisson regression

D. Young, J. Seaman, J. Stamey, 2008, Statistics in medicine.

Bayesian Sample Size Determination for a Clinical Trial with Correlated Continuous and Binary Outcomes

J. Seaman, J. Stamey, F. Natanegara, 2013, Journal of biopharmaceutical statistics.

Variance, Upper Bounds †

P. Odell, J. Seaman, 2004 .