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...deau V, Michiels S, Liquet B, Pignon JP. Investigating trial and treatment hete rogeneity in an individual patient data meta-analysis of survival data by means of the penalized maximum likelihood approach. Statistics in Medicine 2008 ;27 :1894-1910. [2] Rondeau V, Mathoulin-Pelissier S, Jacqmin-Gadda H, Brouste V, Soubeyran P. Joint frailty models for recurring events and death using maximum penalized likelihood es- timation : application on cancer events. Biostatistics 2007 ; 8(4),708-721. [3] Rondeau V, Filleul L, Joly P. Nested frailty models using maximum penalized likelihood estimation...

Dear All, reading an article by Rodolphe Thiebaut and Helene Jacqmin-Gadda ("Mixed models for longitudinal left-censored repeated measures") I have found this program in SAS proc nlmixed data=TEST QTOL=1E-6; parms sigsq1=0.44 ro=0.09 sigsq2=0.07 sigsqe=0.18 alpha=3.08 beta=0.43; bounds $B!](B1< ro < 1, sigsq1 sigsq2 sigsqe >= 0; pi=2*arsin(1); mu=alpha...

...deau V, Michiels S, Liquet B, Pignon JP. Investigating trial and treatment hete rogeneity in an individual patient data meta-analysis of survival data by means of the penalized maximum likelihood approach. Statistics in Medicine 2008 ;27 :1894-1910. [2] Rondeau V, Mathoulin-Pelissier S, Jacqmin-Gadda H, Brouste V, Soubeyran P. Joint frailty models for recurring events and death using maximum penalized likelihood es- timation : application on cancer events. Biostatistics 2007 ; 8(4),708-721. [3] Rondeau V, Filleul L, Joly P. Nested frailty models using maximum penalized likelihood estimation...

Dear R Fellow-Travellers: What is your recommended way of dealing with a left-censored response (non-detects) in (linear Gaussian) mixed effects models? Specifics: Response is a numeric positive measurement (of volume, actually); but when it falls below some unknown and slightly random value (depending on how the sample is prepared and measured), it cannot be measured and is recorded as 0.