Using maximum simulated likelihood methods to overcome left censoring: Dynamic event history models of heart attack risk in New Zealand

2021 ◽  
Author(s):  
Sanghyeok Lee ◽  
Tue Gørgens
Keyword(s):  
New Zealand ◽  
Heart Attack ◽  
Event History ◽  
Likelihood Methods ◽  
Maximum Simulated Likelihood ◽  
Dynamic Event ◽  
Simulated Likelihood

PT003 “A Heart Attack Is Not Always as Dramatic as You Think”. Results of a Public Awareness Campaign in New Zealand

Global Heart ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e127
Author(s):  
G. Devlin ◽  
G. Williams ◽  
T. Duncan ◽  
F. Hamilton ◽  
S. DeSilva ◽  
...  
Keyword(s):  
New Zealand ◽  
Heart Attack ◽  
Public Awareness ◽  
Awareness Campaign ◽  
Public Awareness Campaign

scholarly journals Fitting Mixed Logit Models by Using Maximum Simulated Likelihood

2007 ◽  
Vol 7 (3) ◽  
pp. 388-401 ◽  
Author(s):  
Arne Risa Hole
Keyword(s):  
Mixed Logit ◽  
Logit Models ◽  
Maximum Simulated Likelihood ◽  
Mixed Logit Models ◽  
Simulated Likelihood

This article describes the mixlogit Stata command for fitting mixed logit models by using maximum simulated likelihood.

The Effect of the Consolidated Omnibus Reconciliation Act of 1985 on Health Care Utilization of Employment Separators

2008 ◽  
Vol 8 (2) ◽  
Author(s):  
David M. Zimmer
Keyword(s):  
Health Care ◽  
Health Care Utilization ◽  
Medical Expenditure Panel Survey ◽  
Simultaneous Equations ◽  
Medical Expenditure ◽  
Care Utilization ◽  
Panel Survey ◽  
Maximum Simulated Likelihood ◽  
Simulated Likelihood ◽  
Insurance Choice

Abstract This paper uses data from the Medical Expenditure Panel Survey to estimate the effect of COBRA on health care utilization among a sample of individuals who experience employment separation. The empirical specification employs a structural simultaneous equations model of insurance choice and utilization that is estimated by Maximum Simulated Likelihood. Results indicate that employment separators who elect COBRA appear to consume more health care compared to individuals who become temporarily uninsured. In addition, results do not indicate adverse selection into COBRA. Although COBRA enrollees consume more health care than temporary insurance losers, election appears to exhibit favorable selection with respect to physician utilization.

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