Search Results - "Cole, Stephen R."

Transportability of Trial Results Using Inverse Odds of Sampling Weights by Westreich, Daniel, Edwards, Jessie K, Lesko, Catherine R, Stuart, Elizabeth, Cole, Stephen R

“…Increasingly, the statistical and epidemiologic literature is focusing beyond issues of internal validity and turning its attention to questions of external…”
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Selection Bias Due to Loss to Follow Up in Cohort Studies by Howe, Chanelle J., Cole, Stephen R., Lau, Bryan, Napravnik, Sonia, Joseph J., Eron

“…Selection bias due to loss to follow up represents a threat to the internal validity of estimates derived from cohort studies. Over the past 15 years,…”
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Multiple Imputation for Incomplete Data in Epidemiologic Studies by Harel, Ofer, Mitchell, Emily M, Perkins, Neil J, Cole, Stephen R, Tchetgen Tchetgen, Eric J, Sun, BaoLuo, Schisterman, Enrique F

“…Abstract Epidemiologic studies are frequently susceptible to missing information. Omitting observations with missing variables remains a common strategy in…”
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The use of propensity scores to assess the generalizability of results from randomized trials by Stuart, Elizabeth A., Cole, Stephen R., Bradshaw, Catherine P., Leaf, Philip J.

“…Randomized trials remain the most accepted design for estimating the effects of interventions, but they do not necessarily answer a question of primary…”
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Generalizing evidence from randomized trials using inverse probability of sampling weights by Buchanan, Ashley L., Hudgens, Michael G., Cole, Stephen R., Mollan, Katie R., Sax, Paul E., Daar, Eric S., Adimora, Adaora A., Eron, Joseph J., Mugavero, Michael J.

“…Results obtained in randomized trials may not easily generalize to target populations. Whereas in randomized trials the treatment assignment mechanism is…”
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Sensitivity analyses for effect modifiers not observed in the target population when generalizing treatment effects from a randomized controlled trial: Assumptions, models, effect scales, data scenarios, and implementation details by Nguyen, Trang Quynh, Ackerman, Benjamin, Schmid, Ian, Cole, Stephen R, Stuart, Elizabeth A

“…Randomized controlled trials are often used to inform policy and practice for broad populations. The average treatment effect (ATE) for a target population,…”
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A Meta-Analysis of the Incidence of Non-AIDS Cancers in HIV-Infected Individuals by Shiels, Meredith S, Cole, Stephen R, Kirk, Gregory D, Poole, Charles

“…OBJECTIVE:To estimate summary standardized incidence ratios (SIRs) of non-AIDS cancers among HIV-infected individuals compared with general population rates…”
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Intrinsic Breast Tumor Subtypes, Race, and Long-Term Survival in the Carolina Breast Cancer Study by O'BRIEN, Katie M, COLE, Stephen R, TSE, Chiu-Kit, PEROU, Charles M, CAREY, Lisa A, FOULKES, William D, DRESSLER, Lynn G, GERADTS, Joseph, MILLIKAN, Robert C

“…Previous research identified differences in breast cancer-specific mortality across 4 intrinsic tumor subtypes: luminal A, luminal B, basal-like, and human…”
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Using Bounds to Compare the Strength of Exchangeability Assumptions for Internal and External Validity by Breskin, Alexander, Westreich, Daniel, Cole, Stephen R, Edwards, Jessie K

“…In the absence of strong assumptions (e.g., exchangeability), only bounds for causal effects can be identified. Here we describe bounds for the risk difference…”
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Exploring the Subtleties of Inverse Probability Weighting and Marginal Structural Models by Breskin, Alexander, Cole, Stephen R, Westreich, Daniel

“…Since being introduced to epidemiology in 2000, marginal structural models have become a commonly used method for causal inference in a wide range of…”
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Periodontitis and Non‐alcoholic Fatty Liver Disease, a population‐based cohort investigation in the Study of Health in Pomerania by Akinkugbe, Aderonke A., Slade, Gary D., Barritt, A. Sidney, Cole, Stephen R., Offenbacher, Steven, Petersmann, Astrid, Kocher, Thomas, Lerch, Markus M., Mayerle, Julia, Völzke, Henry, Heiss, Gerardo, Holtfreter, Birte

“…Background Non‐alcoholic fatty liver disease (NAFLD) affects 20%–30% of adults with risk factors like obesity and insulin resistance putatively acting through…”
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The effect of highly active antiretroviral therapy on the survival of HIV-infected children in a resource-deprived setting: a cohort study by Edmonds, Andrew, Yotebieng, Marcel, Lusiama, Jean, Matumona, Yori, Kitetele, Faustin, Napravnik, Sonia, Cole, Stephen R, Van Rie, Annelies, Behets, Frieda

“…The effect of highly active antiretroviral therapy (HAART) on the survival of HIV-infected children has not been well quantified. Because most pediatric HIV…”
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A Practical Example Demonstrating the Utility of Single-world Intervention Graphs by Breskin, Alexander, Cole, Stephen R, Hudgens, Michael G

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Inverse probability of treatment-weighted competing risks analysis: an application on long-term risk of urinary adverse events after prostate cancer treatments by Bolch, Charlotte A, Chu, Haitao, Jarosek, Stephanie, Cole, Stephen R, Elliott, Sean, Virnig, Beth

“…To illustrate the 10-year risks of urinary adverse events (UAEs) among men diagnosed with prostate cancer and treated with different types of therapy,…”
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The parametric g-formula to estimate the effect of highly active antiretroviral therapy on incident AIDS or death by Westreich, Daniel, Cole, Stephen R., Young, Jessica G., Palella, Frank, Tien, Phyllis C., Kingsley, Lawrence, Gange, Stephen J, Hernán, Miguel A.

“…The parametric g‐formula can be used to contrast the distribution of potential outcomes under arbitrary treatment regimes. Like g‐estimation of structural…”
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Worth the weight: using inverse probability weighted Cox models in AIDS research by Buchanan, Ashley L, Hudgens, Michael G, Cole, Stephen R, Lau, Bryan, Adimora, Adaora A

“…In an observational study with a time-to-event outcome, the standard analytical approach is the Cox proportional hazards regression model. As an alternative to…”
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The role of the c-statistic in variable selection for propensity score models by Westreich, Daniel, Cole, Stephen R., Funk, Michele Jonsson, Brookhart, M. Alan, Stürmer, Til

“…The applied literature on propensity scores has often cited the c‐statistic as a measure of the ability of the propensity score to control confounding…”
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Incidence and Timing of Cancer in HIV-Infected Individuals Following Initiation of Combination Antiretroviral Therapy by Yanik, Elizabeth L., Napravnik, Sonia, Cole, Stephen R., Achenbach, Chad J., Gopal, Satish, Olshan, Andrew, Dittmer, Dirk P., Kitahata, Mari M., Mugavero, Michael J., Saag, Michael, Moore, Richard D., Mayer, Kenneth, Mathews, W. Christopher, Hunt, Peter W., Rodriguez, Benigno, Eron, Joseph J.

“…Background. Cancer is an important cause of morbidity and mortality in individuals infected with human immunodeficiency virus (HIV), but patterns of cancer…”
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Inverse probability-of-censoring weights for the correction of time-varying noncompliance in the effect of randomized highly active antiretroviral therapy on incident AIDS or death by Cain, Lauren E., Cole, Stephen R.

“…In 1996–1997, the AIDS Clinical Trial Group 320 study randomized 1156 HIV‐infected U.S. patients to combination antiretroviral therapy (ART) or highly active…”
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Imputation approaches for potential outcomes in causal inference by Westreich, Daniel, Edwards, Jessie K, Cole, Stephen R, Platt, Robert W, Mumford, Sunni L, Schisterman, Enrique F

“…The fundamental problem of causal inference is one of missing data, and specifically of missing potential outcomes: if potential outcomes were fully observed,…”
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