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32281por DeCuir, Jennifer, Zhu, Yuwei, Gaglani, Manjusha, Ginde, Adit A, Mohr, Nicholas, Gibbs, Kevin, Hager, David, Frosch, Anne, Mohamed, Amira, Johnson, Nicholas, Steingrub, Jay S, Peltan, Ithan, Martin, Emily T, Bender, William, Wilson, Jennifer, Qadir, Nida, Mallow, Christopher, Kwon, Jennie H, Exline, Matthew, Lauring, Adam S, Columbus, Cristie, Vaughn, Ivana, Safdar, Basmah, Chappell, James, Baughman, Adrienne, Womack, Kelsey N, Swan, Sydney A, McMorrow, Meredith L, Self, Wesley, Surie, Diya“…Multivariable logistic regression was used to measure absolute and relative bivalent VE adjusted for age, sex, race and ethnicity, admission date, and U.S. Health and Human Services region. …”
Publicado 2023
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32282por Pierone, Gerald, Fusco, Jennifer S, Brunet, Laurence, Sension, Michael, Dunbar, Megan, Gruber, Joshua, Dieterich, Douglas, Fusco, Gregory P“…Incidence rates (Poisson regression) and hazard ratios (Cox proportional hazard models) were estimated with inverse probability of treatment weights (IPTW) to adjust for race, payer, CD4 count and eGFR at baseline. Covariate balance was assessed with standardized mean differences; values ≤0.10 indicated adequate balance. …”
Publicado 2023
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32283por Andrejko, Kristin, Gierke, Ryan, Rowlands, Jemma, Rosen, Jennifer, Thomas, Ann, Landis, Zachary, Rosales, Maria, Petit, Susan, Schaffner, William, Holtzman, Corinne, Farley, Monica M, Barnes, Meghan, Harrison, Lee, McGee, Lesley, Chochua, Sopio, Verani, Jennifer, Cohen, Adam, Pilishvili, Tamara, Kobyashi, Miwako“…We used logistic regression to estimate the adjusted odds of prior PCV13 receipt, controlling for confounders identified a priori including age category, race/ethnicity, sex, state, year, and any immunocompromising and/or chronic conditions. …”
Publicado 2023
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32284por Feldstein, Leora R, Britton, Amadea, Beacham, Lauren, Wiegand, Ryan E, Ruffin, Jasmine, Briggs-Hagen, Melissa, Fowlkes, Ashley, Burgess, Jefferey L, Caban-Martinez, Alberto, Chu, Helen Y, Englund, Janet A, Hegmann, Kurt, Jeddy, Zuha, Lutrick, Karen, Martin, Emily T, Meece, Jennifer K, Midgley, Claire, Monto, Arnold, Newes-Adeyi, Gabriella, Odame-Bamfo, Leah, Olsho, Lauren E W, Saydah, Sharon, Smith, Ning, Steinhardt, Laura, Tyner, Harmony, Yoon, Sarang K, Gaglani, Manjusha, Naleway, Allison L“…Cox proportional hazards models were used to estimate hazard ratios of infections comparing participants with receipt of a bivalent booster to participants without (either unvaccinated or received monovalent only), adjusting for age, sex, race/ethnicity, underlying health conditions, prior infection status, geographic site, and local virus prevalence. …”
Publicado 2023
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32285por Schmidt, Kat, Richard, Stephanie A, Berjohn, Catherine, Lalani, Tahaniyat, Smith, Alfred, Mody, Rupal, Lindholm, David, Huprikar, Nikhil, Saunders, David, Colombo, Rhonda, Jones, Milissa, Flanagan, Ryan, Ewers, Evan, Chang, David, Schofield, Christina, Edwards, Margaret Sanchez, Maldonado, Carlos, Mende, Katrin, Scher, Ann, Rusiecki, Jennifer, Byrne, Celia, Wyatt, Andrew, Simons, Mark P, Tribble, David R, Tribble, David R, O’Connell, Robert, Agan, Brian, Burgess, Timothy, Pollett, Simon, Ganesan, Anuradha“…Controls were selected randomly and matched individually to cases on age, race, sex, and time period. We defined exposure as ≥ 1 SC2 positive test or COVID-19 vaccination 0-365 days before HZ diagnosis. …”
Publicado 2023
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32286por Adar, Sara D., Klein, Ronald, Klein, Barbara E. K., Szpiro, Adam A., Cotch, Mary Frances, Wong, Tien Y., O'Neill, Marie S., Shrager, Sandi, Barr, R. Graham, Siscovick, David S., Daviglus, Martha L., Sampson, Paul D., Kaufman, Joel D.“…All associations were examined using linear regression models adjusted for subject-specific age, sex, race/ethnicity, education, income, smoking status, alcohol use, physical activity, body mass index, family history of cardiovascular disease, diabetes status, serum cholesterol, glucose, blood pressure, emphysema, C-reactive protein, medication use, and fellow vessel diameter. …”
Publicado 2010
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32287por Sullivan, Patrick S, Khosropour, Christine M, Luisi, Nicole, Amsden, Matthew, Coggia, Tom, Wingood, Gina M, DiClemente, Ralph J“…Multivariable logistic regression models were used to estimate the odds stratified by race and ethnicity of the MySpace user clicking through the banner advertisement. …”
Publicado 2011
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32288por Gaziano, J. Michael, Cincotta, Anthony H., Vinik, Aaron, Blonde, Lawrence, Bohannon, Nancy, Scranton, Richard“…Respecting the CV-inclusive composite cardiovascular end point, there were 39 events (1.9%) among 2054 bromocriptine-QR-treated subjects versus 33 events (3.2%) among 1016 placebo subjects, yielding a significant, 39% reduction in relative risk in this end point with bromocriptine-QR exposure (P=0.0346; log-rank test) that was not influenced by age, sex, race, body mass index, duration of diabetes, or preexisting cardiovascular disease. …”
Publicado 2012
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32289por Lewin, Andrew J., Izzo, Joseph L., Melino, Michael, Lee, James, Fernandez, Victor, Heyrman, Reinilde“…INTERVENTION: Participants were randomized, stratified by age, diabetes status, and race to one of four treatment assignments: OM 40/AML 10/HCTZ 25 mg, OM 40/AML 10 mg, OM 40/HCTZ 25 mg, or AML 10/HCTZ 25 mg. …”
Publicado 2013
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32290por Khosropour, Christine M, Johnson, Brent A, Ricca, Alexandra V, Sullivan, Patrick S“…We used time-to-event methods to compare the rate of loss-to-follow-up (defined as non-response to a follow-up survey after multiple systematically-delivered contact attempts) in the 2 follow-up groups, overall and by race/ethnicity. Results are reported as hazard ratios (HR) and 95% confidence intervals (CI) of the rate of loss-to-follow-up for men randomized to text message follow-up compared to online follow-up. …”
Publicado 2013
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32291por Evans, W Douglas, Wallace Bihm, Jasmine, Szekely, Daniel, Nielsen, Peter, Murray, Elizabeth, Abroms, Lorien, Snider, Jeremy“…In the model adjusting for age, marital status, having had a previous baby, and race/ethnicity, there was a significant effect of Text4baby intervention exposure on increased agreement with belief in the importance of taking prenatal vitamins (OR 1.91, 95% CI 1.08-3.34, P=.024). …”
Publicado 2014
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32292por Bender, Melinda S, Choi, JiWon, Arai, Shoshana, Paul, Steven M, Gonzalez, Prisila, Fukuoka, Yoshimi“…Odds of downloading health apps were reduced with: race/ethnicity, Latino (OR 0.37, 95% CI 0.20-0.69), and Korean (OR 0.52, 95% CI 0.31-0.88) compared to Caucasians; increasing age (OR 0.96, 95% CI 0.95-0.97); and completing paper surveys (OR 0.50, 95% CI 0.34-0.75). …”
Publicado 2014
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32293por Henke, Christine, Strissel, Pamela L, Schubert, Maria-Theresa, Mitchell, Megan, Stolt, Claus C, Faschingbauer, Florian, Beckmann, Matthias W, Strick, Reiner“…Northern blot and 5′ and 3′ RACE confirmed both sense and antisense transcripts for Ldoc1/Mart7 and Cxx1a,b,c/Mart8b,c,a. …”
Publicado 2015
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32294“…Phone/Web were also more likely to return if they had completed a coaching call, identified as white non-Hispanic or “other” race, or were commercially insured (all P<.001). …”
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32295por Mocroft, Amanda, Lundgren, Jens D., Ross, Michael, Law, Matthew, Reiss, Peter, Kirk, Ole, Smith, Colette, Wentworth, Deborah, Neuhaus, Jacqueline, Fux, Christoph A., Moranne, Olivier, Morlat, Phillipe, Johnson, Margaret A., Ryom, Lene“…Limitations of this study included limited data on race and no information on proteinuria. CONCLUSIONS: Both traditional and HIV-related risk factors were predictive of CKD. …”
Publicado 2015
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32296por Maletis, Gregory, Chen, Jason, Inacio, Maria Carolina Secorun, Love, Rebecca, Funahashi, Tadashi Ted“…All analyses were adjusted for age, gender, and race. Kaplan-Meier curves and Cox proportional hazard models were employed. …”
Publicado 2016
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32297por Ben-Zeev, Dror, Scherer, Emily A, Gottlieb, Jennifer D, Rotondi, Armando J, Brunette, Mary F, Achtyes, Eric D, Mueser, Kim T, Gingerich, Susan, Brenner, Christopher J, Begale, Mark, Mohr, David C, Schooler, Nina, Marcy, Patricia, Robinson, Delbert G, Kane, John M“…People who used FOCUS more often continued using it over longer periods: 44% used the intervention over 5-6 months, on average 4.3 days a week. Gender, race, age, and number of past psychiatric hospitalizations were associated with engagement. …”
Publicado 2016
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32298por Di, Junrui, Li, Ying, Friedman, M Reuel, Reddy, Susheel, Surkan, Pamela J, Shoptaw, Steven, Plankey, Michael“…Compared with the non-Hispanic white participants, non-Hispanic black participants were 122% more likely to satisfice the HIV-related behavioral survey (OR 2.22, 95% CI 1.69-2.91, P<.001), and 99% more likely to do so for the other race/ethnicity group (OR 1.99, 95% CI 1.39-2.83, P<.001). …”
Publicado 2016
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32299por Guillory, Jamie, Kim, Annice, Murphy, Joe, Bradfield, Brian, Nonnemaker, James, Hsieh, Yuli“…Predictor variables were demographics (age, gender, education, race/ethnicity), e-cigarette use (eg, past 30-day e-cigarette use, e-cigarette puffs per day), social media use behaviors (eg, Twitter use frequency), and days to final survey completion from survey launch for Twitter versus panel. …”
Publicado 2016
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32300“…More detailed information about the cohorts such as race or sociodemographic factors were reported in an ad hoc manner. …”
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