Semi Parametric Estimation of the Incubation Period of AIDS
Birkhäuser Boston eBooksPublished 1 January 1992
Jeremy M. G. Taylor, Yun Chon
Citations7
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The incubation period distribution of AIDS is estimated from the grouped bivariate data which arises from a prevalent cohort study using a penalised likelihood approach to obtain smooth estimates.
Abstract
The incubation period distribution of AIDS is estimated from the grouped bivariate data which arises from a prevalent cohort study. A penalised likelihood approach is used to obtain smooth estimates of the incubation period distribution. We also examine how the individuals age at HIV infection and changes in the incubation period can be incorporated into the analysis.
Keywords
Computer ScienceMathematicsEconomics, Econometrics and Finance
Society for Industrial and Applied Mathematics eBooksThe Jackknife, the Bootstrap and Other Resampling Plans
7,903 Citations1982Bradley Efron
Journal of the Royal Statistical Society Series B (Statistical Methodology)The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data
1,814 Citations1976Bruce W. Turnbull
American Journal of EpidemiologyTHE MULTICENTER AIDS COHORT STUDY: RATIONALE, ORGANIZATION, AND SELECTED CHARACTERISTICS OF THE PARTICIPANTS
1,200 Citations1987Richard A. Kaslow, David G. Ostrow +4 more
The Multicenter AIDS Cohort Study was designed to elucidate the natural history of the infection causing acquired immunodeficiency syndrome (AIDS), identify risk factors for occurrence and clinical expression of the virus, and establish a repository of biologic specimens for future study.
International Statistical ReviewPenalized Likelihood for General Semi-Parametric Regression Models
280 Citations1987Peter J. Green
BiometricsAnalysis of Doubly-Censored Survival Data, with Application to AIDS
271 Citations1989Victor De Gruttola, Stephen W. Lagakos
Nonparametric and weakly structured parametric methods for analyzing survival data in which both the time origin and the failure event can be right- or interval-censored are proposed.
Philosophical Transactions of the Royal Society of London Series A Physical and Engineering SciencesStatistical inference in the Lexis diagram
172 Citations1990Niels Keiding
The main theme of this paper is non-parametric continuous-time statistical analysis on the Lexis diagram, where some possible approaches within modern survival analysis are indicated.
BiometricsCensoring in an Epidemic with an Application to Hemophilia-Associated AIDS
160 Citations1989Ron Brookmeyer, James J. Goedert
A two-stage parametric regression model is proposed for the analysis of cohort studies during an epidemic in which the exact times of infection cannot be ascertained and it was found that hemophiliacs with severe Type A hemophilia were at highest risk of infection, and therisk of infection increased sharply in the early 1980s.
PubMedTherapy may explain recent deficits in AIDS incidence.
116 Citations1990Mitchell H. Gail, Philip S. Rosenberg +1 more
It appears that AIDS incidence could be retarded in underserved groups, such as IVDUs, by making AZT and other state-of-the-art treatments readily available to AIDS-free patients with advanced immunodeficiency.
Journal of the American Statistical AssociationEstimating the Incubation Period of AIDS by Comparing Population Infection and Diagnosis Patterns
114 Citations1990Peter Bacchetti
The incidence of AIDS virus infections over time among gay men in San Francisco is nonparametrically estimated from interval-censored data by using an EM algorithm to maximize a roughness-penalized likelihood.
AIDSAIDS incubation in 1891 HIV seroconverters from different exposure groups
110 Citations1990Robert J. Biggar
Progression time to AIDS was significantly faster in older hemophilic men, but not in older homosexual men, probably because of different exposures to potential opportunistic pathogens.
PubMedZidovudine use in AIDS-free HIV-1-seropositive homosexual men in the Multicenter AIDS Cohort Study (MACS), 1987-1989.
45 Citations1991Neil M.H. Graham, Scott L. Zeger +7 more
CD4+ lymphocyte number was the most consistent predictor of initiation of therapy over all four study visits, and the possibility that nonclinical factors not measured in the MACS may play an important role in predicting zidovudine use is explored.
Statistics in MedicineTime from infection with HIV to onset of AIDS in patients with haemophilia in the UK
42 Citations1990Stephen E. Darby, Richard Doll +3 more
The two-stage parametric regression model of Brookmeyer and Goedert has been adapted and fitted to data on the development of AIDS in haemophiliacs in the UK who are seropositive for HIV.
JAIDS Journal of Acquired Immune Deficiency SyndromesIs the Incubation Period of AIDS Lengthening?
36 Citations1991Jeremy M. G. Taylor, Jo-Mei Kuo +1 more
Data from a cohort study of 1,637 homosexual men in Los Angeles are used to estimate the distribution of times from HIV infection to AIDS, and to detect any changes in the distribution.
American Journal of EpidemiologyEstimating the AIDS Incubation Period from a Prevalent Cohort
34 Citations1991Janet Kuo, Jeremy M. G. Taylor +1 more
Estimation of the incubation period distribution of acquired immunodeficiency syndrome (AIDS) using data from a cohort study of 177 homosexual or bisexual men enrolled in Los Angeles in 1982 and 1983 shows proportions consistent with those obtained from other cohort studies and through other statistical approaches.
Statistics in MedicineSmoothing grouped bivariate data to obtain the incubation period distribution of aids
1 Citations1994Jeremy M. G. Taylor, Yun Chon
In this article, the usefulness of the penalized likelihood approach is illustrated and the use of a cross-validation and a Bayesian scheme to choose the smoothing parameters and bootstrap samples to assess uncertainty is discussed.
