Compara mètodes

	Verbal Autopsy	Abridged Life Table
Camp	Social Epidemiology	Social Epidemiology
Família	Process / pipeline	Process / pipeline
Any d'origen	2012	1984
Autor original	Peter Byass et al. (InterVA); Christopher Murray et al. / PHMRC (Tariff, SmartVA)	Chin Long Chiang; Samuel Preston, Patrick Heuveline & Michel Guillot
Tipus	Survey-based cause-of-death measurement pipeline	Demographic estimation pipeline for mortality and survivorship
Font seminal	Byass, P., Chandramohan, D., Clark, S. J., D'Ambruoso, L., Fottrell, E., Graham, W. J., et al. (2012). Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool. Global Health Action, 5, 19281.	Chiang, C. L. (1984). The Life Table and Its Applications. Malabar, FL: Robert E. Krieger Publishing. ISBN: 9780898745702
Àlies	VA, Automated Verbal Autopsy, InterVA, Tariff / SmartVA	Abridged Life Table Method, Grouped-Age Life Table, Chiang Life Table, nMx to nqx Life Table
Relacionats	3	3
Resum	Verbal autopsy is a method for assigning a probable cause of death by interviewing the caregivers or relatives of a person who died, used where medical certification and vital registration are weak or absent. A trained interviewer administers a structured questionnaire about the signs, symptoms, and circumstances preceding death, and the resulting symptom profile is converted into a cause of death — historically by physician review, and increasingly by automated tools. Two computer-based approaches dominate: the probabilistic InterVA model, formalized for InterVA-4 by Peter Byass and colleagues in 2012 and aligned with the WHO instrument, and the Tariff method behind SmartVA, developed and validated by Christopher Murray and the Population Health Metrics Research Consortium (PHMRC) in 2014. Verbal autopsy supplies cause-of-death data for roughly the majority of the world's deaths that occur without medical attendance.	The abridged life table is the workhorse of demography and population health for summarizing the mortality experience of a population in a single, age-grouped table. Instead of a single-year (complete) life table, it works on broad age intervals — typically <1, 1-4, then five-year groups up to an open-ended oldest interval — which makes it robust when deaths or populations in single years of age are sparse or noisy. The construction propagates a small set of inputs, the age-specific death rates nMx, through a chain of columns: the probability of dying nqx, the survivors lx, the deaths ndx, the person-years lived nLx and Tx, and finally life expectancy ex. Chiang's 1984 treatment supplied the standard estimator and the fraction-of-interval term ax that controls how person-years are allocated within each interval, while Preston, Heuveline and Guillot's 2001 textbook codified the modern pipeline used across demography and epidemiology.