J M Robins

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. ncbi Correcting for noncompliance and dependent censoring in an AIDS Clinical Trial with inverse probability of censoring weighted (IPCW) log-rank tests
    J M Robins
    Harvard School of Public Health, Boston, Massachusetts 02115, USA
    Biometrics 56:779-88. 2000
  2. ncbi On the validity of the TDT test in the presence of comorbidity and ascertainment bias
    J M Robins
    Department of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
    Genet Epidemiol 21:326-36. 2001
  3. ncbi Causal models for estimating the effects of weight gain on mortality
    J M Robins
    Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
    Int J Obes (Lond) 32:S15-41. 2008
  4. ncbi Data, design, and background knowledge in etiologic inference
    J M Robins
    Department of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
    Epidemiology 12:313-20. 2001

Detail Information

Publications4

  1. ncbi Correcting for noncompliance and dependent censoring in an AIDS Clinical Trial with inverse probability of censoring weighted (IPCW) log-rank tests
    J M Robins
    Harvard School of Public Health, Boston, Massachusetts 02115, USA
    Biometrics 56:779-88. 2000
    ..24-33) that adjust for dependent censoring by utilizing data collected on time-dependent prognostic factors...
  2. ncbi On the validity of the TDT test in the presence of comorbidity and ascertainment bias
    J M Robins
    Department of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA
    Genet Epidemiol 21:326-36. 2001
    ..We derive conditions under which the presence of true and/or spurious comorbidity will result in an artificial correlation between the target phenotype and the candidate gene...
  3. ncbi Causal models for estimating the effects of weight gain on mortality
    J M Robins
    Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
    Int J Obes (Lond) 32:S15-41. 2008
    ..The other two g-methods--the parametric g-computation algorithm and inverse probability of treatment weighted estimation of marginal structural models--can adjust for potential bias due to (i) but not due to (ii) or (iii)...
  4. ncbi Data, design, and background knowledge in etiologic inference
    J M Robins
    Department of Epidemiology and Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
    Epidemiology 12:313-20. 2001
    ..The demonstration is facilitated by the use of causal graphs...