Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Publication Type
Articles 1 - 5 of 5
Full-Text Articles in Medical Genetics
A Causal Framework For Surrogate Endpoints With Semi-Competing Risks Data, Debashis Ghosh
A Causal Framework For Surrogate Endpoints With Semi-Competing Risks Data, Debashis Ghosh
Debashis Ghosh
In this note, we address the problem of surrogacy using a causal modelling framework that differs substantially from the potential outcomes model that pervades the biostatistical literature. The framework comes from econometrics and conceptualizes direct effects of the surrogate endpoint on the true endpoint. While this framework can incorporate the so-called semi-competing risks data structure, we also derive a fundamental non-identifiability result. Relationships to existing causal modelling frameworks are also discussed.
The Risks And Benefits Of Long-Term Use Of Hydroxyurea In Sickle Cell Anemia: A 17.5 Year Follow-Up., M. H. Steinberg, W. F. Mccarthy, O. Castro, S. K. Ballas, F. D. Armstrong, W. Smith, K. Ataga, P. Swerdlow, A. Kutlar, L. Decastro, M. A. Waclawiw, E. Orringer, S. Jones, D. Strayhorn, W. Rosse, G. Phillips, D. Pearce, A. Johnson-Telfair, L. Daitch, P. Milner, A. Tracy, S. Valdez, G. E. Allen, J. Moshang, B. Scott, C. Bigelow, A. Anderson, V. Sabahi, T. Harrington, W. Labrousse, C. Pegelow, D. Temple, E. Case, R. Harrell, S. Childerie, S. Embury, B. Schmidt, D. Davies, Y. Saunthararajah, M. Koshy, N. Talischy-Zahed, L. Dorn, G. Pendarvis, M. Mcgee, M. Telfer, A. Davis, O. C. Onyekwere, C. Nwokolo, H. Finke, E. Perlin, J. Siteman, M. Bryan, T. Saunders, Y. Barber, P. Gascon, P. Di Paolo, S. Gargiulo, J. Eckman, E. Carter-Randall, J. H. Bailey, A. Platt, L. Waller, G. Ramirez, V. Knors, S. Hernandez, E. M. Rodriguez, E. Wilkes, E. Vichinsky, W. Hagar, C. Hoehner, E. Hackney-Stevens, S. Claster, A. Earles, K. Kleman, K. Mclaughlin, L. White, B. Maddox, L. Usry, A. Brenner, K. Williams, R. O'Brien, K. Genther, S. Shurin, B. Berman, K. Chiarucci, L. Keverline, N. Olivieri, J. Chow, M. Hui, D. Shaw, N. Lewis, M. Okam, E. Mandell, A. Palmer, K. Bridges, B. Tynan, C. Winograd, R. Bellevue, H. Dosik, M. Sheikhai, P. Ryans, H. Souffrant, B. Adler, A. Johnson-Telfair, L. Eskridge, J. Prchal, J. Braddock, T. Mcardle, T. Carlos, A. Roundtree-Schmotzer, D. Gardner
The Risks And Benefits Of Long-Term Use Of Hydroxyurea In Sickle Cell Anemia: A 17.5 Year Follow-Up., M. H. Steinberg, W. F. Mccarthy, O. Castro, S. K. Ballas, F. D. Armstrong, W. Smith, K. Ataga, P. Swerdlow, A. Kutlar, L. Decastro, M. A. Waclawiw, E. Orringer, S. Jones, D. Strayhorn, W. Rosse, G. Phillips, D. Pearce, A. Johnson-Telfair, L. Daitch, P. Milner, A. Tracy, S. Valdez, G. E. Allen, J. Moshang, B. Scott, C. Bigelow, A. Anderson, V. Sabahi, T. Harrington, W. Labrousse, C. Pegelow, D. Temple, E. Case, R. Harrell, S. Childerie, S. Embury, B. Schmidt, D. Davies, Y. Saunthararajah, M. Koshy, N. Talischy-Zahed, L. Dorn, G. Pendarvis, M. Mcgee, M. Telfer, A. Davis, O. C. Onyekwere, C. Nwokolo, H. Finke, E. Perlin, J. Siteman, M. Bryan, T. Saunders, Y. Barber, P. Gascon, P. Di Paolo, S. Gargiulo, J. Eckman, E. Carter-Randall, J. H. Bailey, A. Platt, L. Waller, G. Ramirez, V. Knors, S. Hernandez, E. M. Rodriguez, E. Wilkes, E. Vichinsky, W. Hagar, C. Hoehner, E. Hackney-Stevens, S. Claster, A. Earles, K. Kleman, K. Mclaughlin, L. White, B. Maddox, L. Usry, A. Brenner, K. Williams, R. O'Brien, K. Genther, S. Shurin, B. Berman, K. Chiarucci, L. Keverline, N. Olivieri, J. Chow, M. Hui, D. Shaw, N. Lewis, M. Okam, E. Mandell, A. Palmer, K. Bridges, B. Tynan, C. Winograd, R. Bellevue, H. Dosik, M. Sheikhai, P. Ryans, H. Souffrant, B. Adler, A. Johnson-Telfair, L. Eskridge, J. Prchal, J. Braddock, T. Mcardle, T. Carlos, A. Roundtree-Schmotzer, D. Gardner
Department of Medicine Faculty Papers
A randomized, controlled clinical trial established the efficacy and safety of short-term use of hydroxyurea in adult sickle cell anemia. To examine the risks and benefits of long-term hydroxyurea usage, patients in this trial were followed for 17.5 years during which they could start or stop hydroxyurea. The purpose of this follow-up was to search for adverse outcomes and estimate mortality. For each outcome and for mortality, exact 95% confidence intervals were calculated, or tests were conducted at alpha = 0.05 level (P-value <0.05 for statistical significance). Although the death rate in the overall study cohort was high (43.1%; 4.4 per 100 person-years), mortality was reduced in individuals with long-term exposure to hydroxyurea. Survival curves demonstrated a significant reduction in deaths with long-term exposure. Twenty-four percent of deaths were due to pulmonary complications; 87.1% occurred in patients who never took hydroxyurea or took it for <5 years. Stroke, organ dysfunction, infection, and malignancy were similar in all groups. Our results, while no longer the product of a randomized study because of the ethical concerns of withholding an efficacious treatment, suggest that long-term use of hydroxyurea is safe and might decrease mortality.
Meta-Analysis For Surrogacy: Accelerated Failure Time Models And Semicompeting Risks Modelling, Debashis Ghosh, Jeremy M. Taylor, Daniel J. Sargent
Meta-Analysis For Surrogacy: Accelerated Failure Time Models And Semicompeting Risks Modelling, Debashis Ghosh, Jeremy M. Taylor, Daniel J. Sargent
Debashis Ghosh
There has been great recent interest in the medical and statistical literature in the assessment and validation of surrogate endpoints as proxies for clinical endpoints in medical studies. More recently, authors have focused on using meta-analytical methods for quanti cation of surrogacy. In this article, we extend existing procedures for analysis based on the accelerated failure time model to this setting. An advantage of this approach relative to proportional hazards model is that it allows for analysis in the semi-competing risks setting, where we constrain the surrogate endpoint to occur before the true endpoint. A novel principal components procedure is …
Combining Multiple Models With Survival Data: The Phase Algorithm, Debashis Ghosh, Zheng Yuan
Combining Multiple Models With Survival Data: The Phase Algorithm, Debashis Ghosh, Zheng Yuan
Debashis Ghosh
In many scientic studies, one common goal is to develop good prediction rules based on a set of available measurements. This paper proposes a model averaging methodology using proportional hazards regression models to construct new estimators of predicted survival probabilities. A screening step based on an adaptive searching algorithm is used to handle large numbers of covariates. The nite-sample properties of the proposed methodology is assessed using simulation studies. Application of the method to a cancer biomarker study is also given.
Semiparametric Analysis Of Recurrent Events: Artificial Censoring, Truncation, Pairwise Estimation And Inference, Debashis Ghosh
Semiparametric Analysis Of Recurrent Events: Artificial Censoring, Truncation, Pairwise Estimation And Inference, Debashis Ghosh
Debashis Ghosh
The analysis of recurrent failure time data from longitudinal studies can be complicated by the presence of dependent censoring. There has been a substantive literature that has developed based on an artificial censoring device. We explore in this article the connection between this class of methods with truncated data structures. In addition, a new procedure is developed for estimation and inference in a joint model for recurrent events and dependent censoring. Estimation proceeds using a mixed U-statistic based estimating function approach. New resampling-based methods for variance estimation and model checking are also described. The methods are illustrated by application to …