Literature DB >> 2281228

Some statistical issues in studies of the epidemiology of AIDS.

N P Jewell1.   

Abstract

Analysis of studies of the epidemiology and natural history of infection with the Human Immunodeficiency Virus and subsequent onset of AIDS are complicated by many statistical issues. Several such problems are associated with the nature of data collection which is often incomplete. Here we briefly survey some of the statistical methods that have been developed to meet the needs of analysis of AIDS data. In particular, we consider projection of the number of future cases, and estimation and identification of two key epidemiological unknowns, namely the properties of the incubation distribution and those of the infectivity associated with transmission.

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Year:  1990        PMID: 2281228     DOI: 10.1002/sim.4780091203

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  6 in total

1.  A meta-analysis of estimates of the AIDS incubation distribution.

Authors:  P C Cooley; L E Myers; D N Hamill
Journal:  Eur J Epidemiol       Date:  1996-06       Impact factor: 8.082

2.  Molecular evolution analysis of the human immunodeficiency virus type 1 envelope in simian/human immunodeficiency virus-infected macaques: implications for challenge dose selection.

Authors:  Mariana Varela; Lisa Landskron; Rachel P J Lai; Trevelyan J McKinley; Willy M Bogers; Ernst J Verschoor; Rob Dubbes; Susan W Barnett; Simon D W Frost; Jonathan L Heeney
Journal:  J Virol       Date:  2011-07-27       Impact factor: 5.103

3.  Estimation and projection of adult AIDS cases: a simple epidemiological model.

Authors:  J Chin; S K Lwanga
Journal:  Bull World Health Organ       Date:  1991       Impact factor: 9.408

4.  Inverse probability weighting methods for Cox regression with right-truncated data.

Authors:  Bella Vakulenko-Lagun; Micha Mandel; Rebecca A Betensky
Journal:  Biometrics       Date:  2019-11-11       Impact factor: 2.571

5.  Missing link survival analysis with applications to available pandemic data.

Authors:  María Luz Gámiz; Enno Mammen; María Dolores Martínez-Miranda; Jens Perch Nielsen
Journal:  Comput Stat Data Anal       Date:  2021-12-13       Impact factor: 1.681

6.  Analyzing left-truncated and right-censored infectious disease cohort data with interval-censored infection onset.

Authors:  Daewoo Pak; Jun Liu; Jing Ning; Guadalupe Gómez; Yu Shen
Journal:  Stat Med       Date:  2020-10-21       Impact factor: 2.373

  6 in total

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