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Multi-State Survival Models for Interval-Censored Data - Book

Multi-State Survival Models for Interval-Censored Data

Ardo van den Hout

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£42.98

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Joint Modeling of Longitudinal and Time-to-Event Data - Book

Joint Modeling of Longitudinal and Time-to-Event Data

Robert (UCLA School of Public Health, Los Angeles, Californi Elashoff

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State-Space Methods for Time Series Analysis : Theory, Applications and Software - Book

State-Space Methods for Time Series Analysis : Theory, Applications and Software

Jose (Universidad Complutense de Madrid, Spain) Casals

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Nonparametric Models for Longitudinal Data : With Implementation in R - Book

Nonparametric Models for Longitudinal Data : With Implementation in R

Colin O. Wu

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Multistate Models for the Analysis of Life History Data - Book

Multistate Models for the Analysis of Life History Data

Richard J Cook

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Multivariate Kernel Smoothing and Its Applications - Book

Multivariate Kernel Smoothing and Its Applications

Jose E. (Universidad de Extremadura, Departamento de Matematic Chacon

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Missing and Modified Data in Nonparametric Estimation : With R Examples - Book

Missing and Modified Data in Nonparametric Estimation : With R Examples

Sam Efromovich

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Constrained Principal Component Analysis and Related Techniques - Book

Constrained Principal Component Analysis and Related Techniques

Yoshio Takane

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Circular and Linear Regression : Fitting Circles and Lines by Least Squares - Book

Circular and Linear Regression : Fitting Circles and Lines by Least Squares

Nikolai Chernov

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Cyclic and Computer Generated Designs - Book

Cyclic and Computer Generated Designs

J.A. John

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Absolute Risk : Methods and Applications in Clinical Management and Public Health - Book

Absolute Risk : Methods and Applications in Clinical Management and Public Health

Ruth M. (National Cancer Institute, Rockville, Maryland, USA Pfeiffer

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The Statistical Analysis of Multivariate Failure Time Data : A Marginal Modeling Approach - Book

The Statistical Analysis of Multivariate Failure Time Data : A Marginal Modeling Approach

Ross L. Prentice

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Large Covariance and Autocovariance Matrices - Book

Large Covariance and Autocovariance Matrices

Arup (Indian Statistical Institute, Kolkata) Bose

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Sufficient Dimension Reduction : Methods and Applications with R - Book

Sufficient Dimension Reduction : Methods and Applications with R

Bing Li

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Inferential Models : Reasoning with Uncertainty - Book

Inferential Models : Reasoning with Uncertainty

Ryan (University of Illinois at Chicago, USA) Martin

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Stochastic Analysis for Gaussian Random Processes and Fields : With Applications - Book

Stochastic Analysis for Gaussian Random Processes and Fields : With Applications

Vidyadhar S. Mandrekar

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Statistical Learning with Sparsity : The Lasso and Generalizations - Book

Statistical Learning with Sparsity : The Lasso and Generalizations

Trevor Hastie

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Pareto Distributions - Book

Pareto Distributions

Barry C. Arnold

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Sequential Analysis : Hypothesis Testing and Changepoint Detection - Book

Sequential Analysis : Hypothesis Testing and Changepoint Detection

Alexander Tartakovsky

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Replication and Evidence Factors in Observational Studies - Book

Replication and Evidence Factors in Observational Studies

Paul Rosenbaum

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Statistical Methods for Stochastic Differential Equations - eBook

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Inferential Models : Reasoning with Uncertainty - eBook

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