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There are 30186 results for: content related to: A method for assessing the potential for confounding applied to ionic strength in central Appalachian streams

  1. The statistical pitfalls of the partially randomized preference design in non-blinded trials of psychological interventions

    International Journal of Methods in Psychiatric Research

    Volume 20, Issue 1, March 2011, Pages: 1–9, Isla Gemmell and Graham Dunn

    Article first published online : 24 FEB 2011, DOI: 10.1002/mpr.326

  2. Confounder-adjusted estimates of the risk difference using propensity score-based weighting

    Statistics in Medicine

    Volume 29, Issue 30, 30 December 2010, Pages: 3126–3136, Obioha C. Ukoumunne, Elizabeth Williamson, Andrew B. Forbes, Martin C. Gulliford and John B. Carlin

    Article first published online : 16 DEC 2010, DOI: 10.1002/sim.3935

  3. Bed Sharing, SIDS Research, and the Concept of Confounding: A Review for Public Health Nurses

    Public Health Nursing

    Volume 32, Issue 6, November/December 2015, Pages: 731–737, Elizabeth M. Keys and James A. Rankin

    Article first published online : 4 MAY 2015, DOI: 10.1111/phn.12200

  4. Using generalized additive models to reduce residual confounding

    Statistics in Medicine

    Volume 23, Issue 24, 30 December 2004, Pages: 3781–3801, Andrea Benedetti and Michal Abrahamowicz

    Article first published online : 6 DEC 2004, DOI: 10.1002/sim.2073

  5. Confounder selection via penalized credible regions

    Biometrics

    Volume 70, Issue 4, December 2014, Pages: 852–861, Ander Wilson and Brian J. Reich

    Article first published online : 14 AUG 2014, DOI: 10.1111/biom.12203

  6. On the role of marginal confounder prevalence – implications for the high-dimensional propensity score algorithm

    Pharmacoepidemiology and Drug Safety

    Volume 24, Issue 9, September 2015, Pages: 1004–1007, Tibor Schuster, Menglan Pang and Robert W. Platt

    Article first published online : 10 APR 2015, DOI: 10.1002/pds.3773

  7. Rejoinder: Bayesian Effect Estimation Accounting for Adjustment Uncertainty

    Biometrics

    Volume 68, Issue 3, September 2012, Pages: 680–686, Chi Wang, Giovanni Parmigiani and Francesca Dominici

    Article first published online : 24 FEB 2012, DOI: 10.1111/j.1541-0420.2011.01735.x

  8. Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models

    Biometrics

    Volume 71, Issue 3, September 2015, Pages: 654–665, Chi Wang, Francesca Dominici, Giovanni Parmigiani and Corwin Matthew Zigler

    Article first published online : 20 APR 2015, DOI: 10.1111/biom.12315

  9. Bayesian Effect Estimation Accounting for Adjustment Uncertainty

    Biometrics

    Volume 68, Issue 3, September 2012, Pages: 661–671, Chi Wang, Giovanni Parmigiani and Francesca Dominici

    Article first published online : 24 FEB 2012, DOI: 10.1111/j.1541-0420.2011.01731.x

  10. Criteria for confounders in epidemiological studies

    Journal of the Royal Statistical Society: Series B (Statistical Methodology)

    Volume 64, Issue 1, January 2002, Pages: 3–15, Zhi Geng, Jianhua Guo and Wing-Kam Fung

    Article first published online : 12 MAR 2002, DOI: 10.1111/1467-9868.00321

  11. Claims Data Studies of Sedative-Hypnotics and Hip Fractures in Older People: Exploring Residual Confounding Using Survey Information

    Journal of the American Geriatrics Society

    Volume 53, Issue 6, June 2005, Pages: 948–954, Sebastian Schneeweiss and Philip S. Wang

    Article first published online : 1 APR 2005, DOI: 10.1111/j.1532-5415.2005.53303.x

  12. You have free access to this content
    Statistical consideration of the role of potential confounders on the association between immunological responses and disease

    Parasite Immunology

    Volume 30, Issue 5, May 2008, Pages: 268–270, J. TODD and P. CORRAN

    Article first published online : 9 APR 2008, DOI: 10.1111/j.1365-3024.2008.01021.x

  13. On the use and misuse of scalar scores of confounders in design and analysis of observational studies

    Statistics in Medicine

    Volume 34, Issue 18, 15 August 2015, Pages: 2618–2635, R. M. Pfeiffer and R. Riedl

    Article first published online : 17 MAR 2015, DOI: 10.1002/sim.6467

  14. The Effect of Having Aggressive Friends on Aggressive Behavior in Childhood: Using Propensity Scores to Strengthen Causal Inference

    Social Development

    Angela K. Henneberger, Donna L. Coffman and Scott D. Gest

    Article first published online : 28 MAR 2016, DOI: 10.1111/sode.12186

  15. Inflation of the type I error rate when a continuous confounding variable is categorized in logistic regression analyses

    Statistics in Medicine

    Volume 23, Issue 7, 15 April 2004, Pages: 1159–1178, Peter C. Austin and Lawrence J. Brunner

    Article first published online : 23 MAR 2004, DOI: 10.1002/sim.1687

  16. Clinical Trial Design Issues: At Least 10 Things You Should Look For in Clinical Trials

    The Journal of Clinical Pharmacology

    Volume 46, Issue 10, October 2006, Pages: 1106–1115, Dr Stephen P. Glasser and Dr George Howard

    Article first published online : 19 MAR 2013, DOI: 10.1177/0091270006290336

  17. Discussions

    Biometrics

    Volume 68, Issue 3, September 2012, Pages: 675–678, Stijn Vansteelandt

    Article first published online : 20 FEB 2012, DOI: 10.1111/j.1541-0420.2011.01734.x

  18. Performance of prior event rate ratio adjustment method in pharmacoepidemiology: a simulation study

    Pharmacoepidemiology and Drug Safety

    Volume 24, Issue 5, May 2015, Pages: 468–477, Md Jamal Uddin, Rolf H. H. Groenwold, Tjeerd P. van Staa, Anthonius de Boer, Svetlana V. Belitser, Arno W. Hoes, Kit C. B. Roes and Olaf H. Klungel

    Article first published online : 20 NOV 2014, DOI: 10.1002/pds.3724

  19. A Bayesian framework for estimating disease risk due to exposure to uranium mine and mill waste on the Navajo Nation

    Journal of the Royal Statistical Society: Series A (Statistics in Society)

    Volume 178, Issue 4, October 2015, Pages: 1069–1091, Lauren Hund, Edward J. Bedrick, Curtis Miller, Gabriel Huerta, Teddy Nez, Sandy Ramone, Chris Shuey, Miranda Cajero and Johnnye Lewis

    Article first published online : 27 JAN 2015, DOI: 10.1111/rssa.12099

  20. Marginal structural models: much ado about (almost) nothing

    Journal of Evaluation in Clinical Practice

    Volume 19, Issue 1, February 2013, Pages: 214–222, Eyal Shahar and Doron J. Shahar

    Article first published online : 23 AUG 2011, DOI: 10.1111/j.1365-2753.2011.01757.x