Multi‐state Markov models for analysing incomplete disease history data with illustrations for HIV disease

RC Gentleman, JF Lawless, JC Lindsey… - Statistics in …, 1994 - Wiley Online Library
Multi‐state Markov models can be useful in analysing disease history data. We apply the
general estimation methods of Kalbfleisch and Lawless to panel data in which individuals …

Multi-state Markov models for analysing incomplete disease history data with illustrations for HIV disease

RC Gentleman, JF Lawless… - Statistics in …, 1994 - pubmed.ncbi.nlm.nih.gov
Multi-state Markov models can be useful in analysing disease history data. We apply the
general estimation methods of Kalbfleisch and Lawless to panel data in which individuals …

Multi-state Markov models for analysing incomplete disease history data with illustrations for HIV disease.

RC Gentleman, JF Lawless, JC Lindsey… - Statistics in Medicine, 1994 - europepmc.org
Multi-state Markov models can be useful in analysing disease history data. We apply the
general estimation methods of Kalbfleisch and Lawless to panel data in which individuals …

Multi‐state Markov models for analysing incomplete disease history data with illustrations for hiv disease

RC Gentleman, JF Lawless, JC Lindsey, P Yan - Statistics in Medicine, 1994 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Multi‐state Markov models can be useful in
analysing disease history data. We apply the general estimation methods of Kalbfleisch and …

[引用][C] Multi-state Markov models for analysing incomplete disease history data with illustrations for HIV disease.

RC Gentleman, JF Lawless, JC Lindsey, P Yan - 1994 - cabidigitallibrary.org
Skip the header click to show the menu Menu Cart Login Login/Register Institutional Access
Access Options Enter words / phrases / DOI / ISBN / keywords / authors / etc Search Advanced …

[引用][C] MULTI-STATE MARKOV MODELS FOR ANALYSING INCOMPLETE DISEASE HISTORY DATA WITH ILLUSTRATIONS FOR HIV DISEASE

RC GENTLEMAN, JF LAWLESS, JC LINDSEY, P YAN - Statistics in medicine, 1994 - Wiley