A novel case‐control subsampling approach for rapid model exploration of large clustered binary data

E-ISSN： 1097-0258|37|6|899-913

ISSN： 0277-6715

Source： STATISTICS IN MEDICINE, Vol.37, Iss.6, 2018-03, pp. : 899-913

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Comparison of operational characteristics for binary tests with clustered data

STATISTICS IN MEDICINE, Vol. 34, Iss. 15, 2015-07 ,pp. : 2325-2333

John Wiley & Sons Inc

Access to resources Recommend Favorite

Rapid model exploration for complex hierarchical data: application to pharmacokinetics of insulin aspart

STATISTICS IN MEDICINE, Vol. 34, Iss. 23, 2015-10 ,pp. : 3144-3158

John Wiley & Sons Inc

Access to resources Recommend Favorite

A partially linear additive model for clustered proportion data

STATISTICS IN MEDICINE, Vol. 37, Iss. 6, 2018-03 ,pp. : 1009-1030

John Wiley & Sons Inc

Access to resources Recommend Favorite

Data-to-model: a mixed initiative approach for rapid ethnographic assessment

By Carley Kathleen

Computational & Mathematical Organization Theory, Vol. 18, Iss. 3, 2012-09 ,pp. : 300-327

Springer Publishing Company

Access to resources Recommend Favorite

A Bayesian approach for analyzing zero‐inflated clustered count data with dispersion

STATISTICS IN MEDICINE, Vol. 37, Iss. 5, 2018-02 ,pp. : 801-812

John Wiley & Sons Inc

Access to resources Recommend Favorite