Replacing time since human immunodeficiency virus infection by marker values in predicting residual time to acquired immunodeficiency syndrome diagnosis

Journal of Acquired Immune Deficiency Syndromes and Human Retrovirology

Volumn 12, Issue 3, 1996, Pages 309-316

  Shi, Minggao ^a   Taylor, Jeremy M G ^a   Currier, Robert J ^a   Tang, Hong ^a   Hoover, Donald R ^b   Chmiel, Joan S ^c   Bryant, John L ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d UNIVERSITY OF PITTSBURGH CANCER INSTITUTE   (United States)

Author keywords

Acquired immunodeficiency syndrome; CD4; Human immunodeficiency virus; Neopterin; Residual time; 2 Microglobulin

Indexed keywords

BETA 2 MICROGLOBULIN; CD4 ANTIGEN; NEOPTERIN;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ADULT; ARTICLE; HUMAN; HUMAN CELL; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; LYMPHOCYTE COUNT; LYMPHOCYTE SUBPOPULATION; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SEROCONVERSION; VIRUS INFECTION;

EID: 0030054397     PISSN: 10779450     EISSN: None     Source Type: Journal    
DOI: 10.1097/00042560-199607000-00013     Document Type: Article

References (14)

1. Phillips AN, Sabin CA, Elford J, Bofill M, Janossy G, Lee CA. Acquired immunodeficiency syndrome (AIDS) risk in recent and long-standing human immunodeficiency virus type 1 (HIV-1) infected patients with similar CD4 lymphocyte counts. Am J Epidemiol 1993;138:870-8.
2. Phillips AN, Pezzotti P, Lepri AC, Rezza G, and the Italian Seroconversion Study. CD4 lymphocyte count as a determinant of the time from HIV seroconversion to AIDS and death from AIDS: evidence from the Italian Seroconversion Study. AIDS 1994;8:1299-305.
3. Fahey JL, Taylor JMG, Detels R, et al. The prognostic value of cellular and serologic markers in infection with human immunodeficiency virus type 1. N Engl J Med 1990;322:166-72.
4. Brookmeyer R, Gail MH. Biases in prevalent cohort. Biometrics 1987;43:739-49.
5. Jewell NP, Kalbfleisch JD. Marker models in survival analysis and applications to issues associated with AIDS. In: Jewell NP, Dietz K, Farewell VT, eds. AIDS epidemiology: methodological issues. Boston: Birkhauser, 1992:211-30.
6. Kaslow RA, Ostrow DG, Detels R, Phair JP, Polk BF, Rinaldo CR Jr. The Multicenter AIDS Cohort Study: rationale, organization, and selected characteristics of the participants. Am J Epidemiol 1987;126:310-8.
7. Royall RM. Model robust confidence intervals for maximum likelihood estimates. Int Stat Rev 1986;54:221-6.
8. Huber PJ. The behavior of maximum likelihood estimates under nonstandard conditions. In Proceedings of the Fifth Symposium on mathematical statistics and probability. University of California Press, 1966:151-63.
9. Efron B, Tibshirani RJ. An introduction to the bootstrap, London: Chapman and Hall, 1993.
10. Jewell NP, Nielsen JP. A framework for consistent prediction rules based on markers. Biometrika 1993;80:153-64.
11. Taylor JMG, Munoz A, Bass SM, Chmiel JS, Kingsley LA, Saah AJ. Estimating the distribution of times from HIV seroconversion to AIDS by multiple imputation. Stat Med 1990;9:505-14.
12. Shi M, Taylor JMG, Munoz A. Models for residual time to AIDS. Lifetime Data Anal 1996;2:31-49.
13. Taylor JMG, Cumberland WG, Sy JP. A stochastic model for analysis of longitudinal AIDS data. J Am Stat Assoc 1994;89:727-36.
14. Johnson RA. Transformation of survival data. In: Crowley J, Johnson RA, eds. Survival analysis: proceedings of the special topics meeting sponsored by the Institute of Mathematical Statistics. Hayward, CA: Institute of Mathematical Statistics, 1982:118-36.