scholarly journals Covariate adjustment in continuous biomarker assessment

Biometrics ◽  
2021 ◽  
Author(s):  
Ziyi Li ◽  
Yijian Huang ◽  
Dattatraya Patil ◽  
Martin G. Sanda
Keyword(s):  
Author(s):  
Zachary L. Mannes ◽  
Erin G. Ferguson ◽  
Nicole Ennis ◽  
Deborah S. Hasin ◽  
Linda B. Cottler

Over 80% of National Football League (NFL) retirees experience daily pain. Pain acceptance is an important psychological construct implicated in the intensity of chronic pain, though these findings have not been extended to NFL retirees. Therefore, the current study examined the association between pain acceptance and pain intensity among former NFL athletes. NFL retirees (N = 90) recruited from 2018 to 2019 completed questionnaires that assessed pain, substance use, and NFL career information. Multiple linear regression examined the association between current pain acceptance and pain intensity while adjusting for other risk factors of pain. NFL retirees reported average scores of 33.31 (SD = 10.00), and 2.18 (SD = 2.40) on measures of pain acceptance and pain intensity, respectively. After covariate adjustment, greater pain acceptance (β = −0.538, p < .001) was associated with lower pain intensity. These findings can further inform the behavioral and mental health care of retired NFL athletes.


2013 ◽  
Vol 1 (1) ◽  
pp. 135-154 ◽  
Author(s):  
Peter M. Aronow ◽  
Joel A. Middleton

AbstractWe derive a class of design-based estimators for the average treatment effect that are unbiased whenever the treatment assignment process is known. We generalize these estimators to include unbiased covariate adjustment using any model for outcomes that the analyst chooses. We then provide expressions and conservative estimators for the variance of the proposed estimators.


2011 ◽  
Vol 19 (4) ◽  
pp. 385-408 ◽  
Author(s):  
Devin Caughey ◽  
Jasjeet S. Sekhon

Following David Lee's pioneering work, numerous scholars have applied the regression discontinuity (RD) design to popular elections. Contrary to the assumptions of RD, however, we show that bare winners and bare losers in U.S. House elections (1942–2008) differ markedly on pretreatment covariates. Bare winners possess largeex antefinancial, experience, and incumbency advantages over their opponents and are usually the candidates predicted to win byCongressional Quarterly's pre-election ratings. Covariate imbalance actually worsens in the closest House elections. National partisan tides help explain these patterns. Previous works have missed this imbalance because they rely excessively on model-based extrapolation. We present evidence suggesting that sorting in close House elections is due mainly to activities on or before Election Day rather than postelection recounts or other manipulation. The sorting is so strong that it is impossible to achieve covariate balance between matched treated and control observations, making covariate adjustment a dubious enterprise. Although RD is problematic for postwar House elections, this example does highlight the design's advantages over alternatives: RD's assumptions are clear and weaker than model-based alternatives, and their implications are empirically testable.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4545-4545
Author(s):  
Tracy Westley ◽  
Dimitrios Tomaras ◽  
Eric Strati ◽  
Donna Skerrett ◽  
Anna Forsythe ◽  
...  

Introduction: Allo-HSCT was performed on 1771 US children in 2016. SR aGVHD is a life-threatening complication of allo-HSCT associated with substantial healthcare costs and significant reductions in pediatric QOL. Grade II-IV aGVHD occurs in 39-59% of allo-HSCT recipients. While steroids are typically used 1st line, there is no formal 2nd line consensus. RUX has been approved in SR aGVHD patients ≥12 yrs based on results of a single-arm P2 REACH 1 trial where the lower limit of the age range was 18 yrs per the FDA label. The 12 yr age limit of FDA approval was based on a bioequivalence study. Indirect comparisons of RUX trial data vs novel late stage investigational therapies with exclusively pediatric trial data can thus inform future coverage decisions and budget assessments. Recently, a single-arm P3 trial reported efficacy and safety outcomes with REM (investigational agent) in pediatric SR aGVHD. As there are no head-to-head studies comparing RUX to REM, we compared efficacy and safety outcomes between treatments in a statistically robust manner to aid clinical and reimbursement decisions. Methods: Following NICE Decision Support Unit STC guidelines, regression techniques were used to adjust individual patient-level data from the REM P3 trial to mutually reported baseline (BL) characteristics from the RUX FDA Package Insert (PI)/REACH 1 trial data (2018 ASH Abstract #601). The stepwise model included adjustment for: ethnicity (white), aGVHD grade, and sex. Outcomes of interest included 28-day ORR, 28-day ORR in patients with grade III-IV aGVHD at baseline (BL) from comparable populations (n=49 RUX FDA PI/ n=55 REM), and TEAEs of any grade mutually reported in RUX published data (REACH 1 )/REM trial data (n=71 RUX REACH 1 /n=54 REM). Since the REM trial was limited to pediatric patients, and the youngest patient was 18 yrs in the RUX trial, statistical adjustment for age was unfeasible. Based on RUX approval in patients ≥12 yrs, we assumed that trial populations were comparable despite age differences. Within the REM study, no statistical association was found between age and 28-day ORR or safety in univariate analysis, further validating this assumption. The lack of statistical adjustment for age is, however, a limitation of this analysis. Further limitations include the small sample size of both trials and the small number of endpoints available in the RUX label for comparison. Results: In the full population set for 28-day ORR, the RR of REM vs. RUX was calculated as 1.21 (95% confidence interval [CI], 0.90-1.63; p=0.21) without any covariate adjustment based on ORRs of 69.1% and 57.1% (n=49 RUX FDA PI), respectively. After multivariate adjustment for baseline characteristics, the RR was 1.13 (95% CI, 0.83-1.54; p=0.45). For the BL grade III-IV aGVHD patient subgroup, the unadjusted RR for 28-day ORR of REM vs RUX was 1.72 (95% CI, 1.12-2.63; p=0.01) based on ORRs of 71.4% and 41.6%, respectively. After multivariate adjustment for baseline characteristics, the RR was 1.58 (95% CI, 1.02-2.44; p=0.04), a statistically significant difference. The most frequently reported TEAEs (all grades) for REM were pyrexia (33.3%), abdominal pain (20.4%) and adenovirus infection (20.4%) and for RUX (n=71 RUX REACH 1) were anemia (64.8%), hypokalemia (49.3%) and platelet count decreased (45.1%). AEs led to treatment discontinuation for 15% of patients on REM and 31% on RUX. For mutually reported TEAEs, unadjusted comparisons were employed, as the number of events was too low to facilitate meaningful covariate adjustment. The rates of TEAEs, as well as RRs (95% CI, p-value), are presented in Table 1. Conclusion: Without direct trial comparison, STC results can be used in cost-effectiveness analyses to aid coverage decisions. STC methods showed significant association of REM with improved 28-day ORR for patients with BL grade III-IV aGVHD (p=0.04) and improved safety outcomes relative to RUX (p<0.05 for RR) for multiple TEAEs, including several hematologic TEAEs (anemia, WBCs, platelets, neutrophils), several lab results (hypokalemia, hypomagnesemia, increased AST), peripheral edema, muscular weakness, nausea, back pain, and fatigue. For all grade 28-day ORR, REM-treated patients experienced relative-but not statistically significant-improvement. Disclosures Westley: Mesoblast: Consultancy. Tomaras:Mesoblast: Consultancy. Strati:Mesoblast: Employment. Skerrett:Mesoblast: Employment. Forsythe:Mesoblast: Consultancy. Tremblay:Mesoblast: Consultancy.


2020 ◽  
Author(s):  
Gareth J Griffith ◽  
Kelvyn Jones

Mental illness and mental wellbeing are related but distinct constructs. Despite this, geographical enquiry often references the two as interchangeable indicators of mental health and assumes the relationship between the two is consistent across different geographical scales. Furthermore, the importance of geography in such research is commonly assumed to be static for all age groups, despite the large body of evidence demonstrating contextual effects in age-specific populations. We leverage simultaneous measurement of a mental illness and mental wellbeing metric from Understanding Society, a UK population-based survey, and employ bivariate, cross-classified multilevel modelling to characterise the relationship between geographical context and mental health. Results provide strong evidence for contextual effects for both responses before and after covariate adjustment, with weaker evidence for area-classification and PSU-level contextual effects for the GHQ-12 after covariate adjustment. Results support a two-continua model of mental health at the individual level, but indicates that consensual benefit may be achieved across both dimensions by intervening at household and regional levels. There is also some evidence of a greater contextual effects for mental wellbeing than for mental illness. Results highlight the potential of the household as a target for intervention design for consensual benefit across both constructs. Results highlight the increased importance of geographical context for older respondents across both responses. This research supports an area-based approach to improving both mental illness and mental wellbeing in older populations.


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