Analyzing infant mortality with geoadditive categorical regression models: A case study for Nigeria

Economics and Human Biology

Volumn 2, Issue 2, 2004, Pages 229-244

  Adebayo, Samson B ^a,c   Fahrmeir, Ludwig ^a   Klasen, Stephan ^b  

^a UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

^c UNIVERSITY OF ILORIN   (Nigeria)

Author keywords

Infant mortality; Markov chain Monte Carlo (MCMC); Multicategorical response; Nigeria; Spatial additive models; Time to event

Indexed keywords

AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; CALCULATION; CAUSE OF DEATH; CONTROLLED STUDY; DATA ANALYSIS; DEMOGRAPHY; FEMALE; GEOGRAPHIC DISTRIBUTION; HEALTH SURVEY; HUMAN; INFANT; INFANT MORTALITY; MALE; MATERNAL AGE; MONTE CARLO METHOD; NIGERIA; NONLINEAR SYSTEM; PROBABILITY; REGRESSION ANALYSIS; TIME; ADOLESCENT; ADULT; MIDDLE AGED; NEWBORN; RISK FACTOR;

ADOLESCENT; ADULT; FEMALE; HUMANS; INFANT MORTALITY; INFANT, NEWBORN; MALE; MARKOV CHAINS; MATERNAL AGE; MIDDLE AGED; MONTE CARLO METHOD; NIGERIA; REGRESSION ANALYSIS; RISK FACTORS;

EID: 3543107300     PISSN: 1570677X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ehb.2004.04.004     Document Type: Article

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