Tania M Wilkins

发表

Table 20, Advantages and disadvantages of the Bayesian MTC approach

Daniel E Jonas, Gerald Gartlehner, Shrikant I. Bangdiwala, 2013 .

Table 18, Simulation results: Probability of best treatment under superior efficacy scenario

Daniel E Jonas, Gerald Gartlehner, Shrikant I. Bangdiwala, 2013 .

Figure 11-1, Generic analytic framework for evaluating predictive genetic tests

Daniel E Jonas, David B. Matchar, Tania M Wilkins, 2012 .

Figure 11-2, Generic analytic framework for evaluating predictive genetic tests when the impact on family members is important

Daniel E Jonas, David B. Matchar, Tania M Wilkins, 2012 .

Figure 12, One closed loop network pattern used in simulation

Daniel E Jonas, Gerald Gartlehner, Shrikant I. Bangdiwala, 2013 .

Table 7, Comparison of findings for mean change in HAM-D between Bayesian MTC meta-analysis findings and those of frequentist methods for various network patterns

Daniel E Jonas, Gerald Gartlehner, Shrikant I. Bangdiwala, 2013 .

Table 11-2, ACCE model questions for reviews of genetic tests

Daniel E Jonas, Timothy J Wilt, David B. Matchar, 2012 .

Table 11-3, Questions for assessing preanalytic, analytic, and postanalytic factors for evaluating predictive genetic tests*

Daniel E Jonas, Timothy J Wilt, David B. Matchar, 2012 .

Table 11-1, Principles for addressing common challenges when evaluating genetic tests used as predictive indicators

Daniel E Jonas, Timothy J Wilt, David B. Matchar, 2012 .

Table 8, Comparison of findings for ACR 50 response between Bayesian MTC meta-analysis findings and those of frequentist methods for various network patterns

Daniel E Jonas, Gerald Gartlehner, Shrikant I. Bangdiwala, 2013 .

Table 1, Approach for Addressing Potential Sources of Heterogeneity

Daniel E Jonas, Karen Crotty, Gerald Gartlehner, 2012 .

Figure 4, Simulation study design

Daniel E Jonas, Gerald Gartlehner, Shrikant I. Bangdiwala, 2013 .

Findings of Bayesian Mixed Treatment Comparison Meta-Analyses: Comparison and Exploration Using Real-World Trial Data and Simulation

Daniel E Jonas, Gerald Gartlehner, Shrikant I. Bangdiwala, 2013 .

Table 21, Possible targets for future research, by Key Question (KQ)

Daniel E Jonas, Gerald Gartlehner, Shrikant I. Bangdiwala, 2013 .

Comparative Benefits and Harms of Second-Generation Antidepressants for Treating Major Depressive Disorder

Tania M Wilkins, K. Lohr, R. Hansen, 2011, Annals of Internal Medicine.

Screening, Behavioral Counseling, and Referral in Primary Care To Reduce Alcohol Misuse

Tania M Wilkins, A. Viera, D. Jonas, 2012 .

Interventions for the Prevention of Posttraumatic Stress Disorder (PTSD) in Adults After Exposure to Psychological Trauma

Tania M Wilkins, K. Lohr, C. Forneris, 2013 .

Early Posttherapy Hospitalizations Among Survivors of Childhood Leukemia and Lymphoma

Tania M Wilkins, S. Dusetzina, J. Blatt, 2016, Journal of pediatric hematology/oncology.

Chapter 11: Challenges in and Principles for Conducting Systematic Reviews of Genetic Tests used as Predictive Indicators

David B. Matchar, Tania M Wilkins, Brent C. Taylor, 2012, Journal of General Internal Medicine.

Interventions to prevent post-traumatic stress disorder: a systematic review.

Tania M Wilkins, K. Lohr, C. Forneris, 2013, American journal of preventive medicine.

Psychological and Pharmacological Treatments for Adults With Posttraumatic Stress Disorder (PTSD)

Tania M Wilkins, C. Forneris, C. Feltner, 2013 .

Drug Class Review: Controller Medications for Asthma

Tania M Wilkins, R. Wines, D. Jonas, 2011 .