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Article ; Online: Impact of Early-Life Adversity on Cannabis Use: Exploring the Mediating and Moderating Effects of Chronic Pain.

Hodges, James S / DeAngelis, Briana N / Borodovsky, Jacob / Budney, Alan / al'Absi, Mustafa

2024

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2024-03-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	2867624-5
ISSN	2378-8763 ; 2578-5125
ISSN (online)	2378-8763
ISSN	2578-5125
DOI	10.1089/can.2023.0218
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: The Age-Period-Cohort-Interaction Model for Describing and Investigating Inter-cohort Deviations and Intra-cohort Life-course Dynamics.

Luo, Liying / Hodges, James S

Sociological methods & research

2020 Volume 51, Issue 3, Page(s) 1164–1210

Abstract: Social scientists have frequently sought to understand the distinct effects of age, period, and cohort, but disaggregation of the three dimensions is difficult because cohort = period - age. We argue that this technical difficulty reflects a ... ...

Abstract	Social scientists have frequently sought to understand the distinct effects of age, period, and cohort, but disaggregation of the three dimensions is difficult because cohort = period - age. We argue that this technical difficulty reflects a disconnection between how cohort effect is conceptualized and how it is modeled in the traditional age-period-cohort framework. We propose a new method, called the age-period-cohort-interaction (APC-I) model, that is qualitatively different from previous methods in that it represents Ryder's (1965) theoretical account about the conditions under which cohort differentiation may arise. This APC-I model does not require problematic statistical assumptions and the interpretation is straightforward. It quantifies inter-cohort deviations from the age and period main effects and also permits hypothesis testing about intra-cohort life-course dynamics. We demonstrate how this new model can be used to examine age, period, and cohort patterns in women's labor force participation.
Language	English
Publishing date	2020-01-23
Publishing country	United States
Document type	Journal Article
ZDB-ID	2002146-X
ISSN	1552-8294 ; 0049-1241
ISSN (online)	1552-8294
ISSN	0049-1241
DOI	10.1177/0049124119882451
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Article ; Online: Accounting for post‐randomization variables in meta‐analysis: A joint meta‐regression approach

Lian, Qinshu / Zhang, Jing / Hodges, James S. / Chen, Yong / Chu, Haitao

Biometrics. 2023 Mar., v. 79, no. 1 p.358-367

2023

Abstract: Meta‐regression is widely used in systematic reviews to investigate sources of heterogeneity and the association of study‐level covariates with treatment effectiveness. Existing meta‐regression approaches are successful in adjusting for baseline ... ...

Abstract	Meta‐regression is widely used in systematic reviews to investigate sources of heterogeneity and the association of study‐level covariates with treatment effectiveness. Existing meta‐regression approaches are successful in adjusting for baseline covariates, which include real study‐level covariates (e.g., publication year) that are invariant within a study and aggregated baseline covariates (e.g., mean age) that differ for each participant but are measured before randomization within a study. However, these methods have several limitations in adjusting for post‐randomization variables. Although post‐randomization variables share a handful of similarities with baseline covariates, they differ in several aspects. First, baseline covariates can be aggregated at the study level presumably because they are assumed to be balanced by the randomization, while post‐randomization variables are not balanced across arms within a study and are commonly aggregated at the arm level. Second, post‐randomization variables may interact dynamically with the primary outcome. Third, unlike baseline covariates, post‐randomization variables are themselves often important outcomes under investigation. In light of these differences, we propose a Bayesian joint meta‐regression approach adjusting for post‐randomization variables. The proposed method simultaneously estimates the treatment effect on the primary outcome and on the post‐randomization variables. It takes into consideration both between‐ and within‐study variability in post‐randomization variables. Studies with missing data in either the primary outcome or the post‐randomization variables are included in the joint model to improve estimation. Our method is evaluated by simulations and a real meta‐analysis of major depression disorder treatments.
Keywords	Bayesian theory ; meta-analysis ; models ; regression analysis
Language	English
Dates of publication	2023-03
Size	p. 358-367.
Publishing place	John Wiley & Sons, Ltd
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	213543-7
ISSN	0099-4987 ; 0006-341X
ISSN	0099-4987 ; 0006-341X
DOI	10.1111/biom.13573
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Croup Admissions: Can We Shrink the Elephant in the Room?

Maalouli, Walid M / Hodges, James S

Pediatric emergency care

2019 Volume 37, Issue 12, Page(s) e940–e943

Abstract: Objective: This pilot study aims to identify potential predictors of postadmission interventions of hospitalized croup patients and derive a risk model aimed at reducing hospitalizations for croup.: Methods: Data were collected on all croup ... ...

Abstract	Objective: This pilot study aims to identify potential predictors of postadmission interventions of hospitalized croup patients and derive a risk model aimed at reducing hospitalizations for croup. Methods: Data were collected on all croup hospitalizations for patients aged 1 month to 17 years admitted through a community hospital's emergency department (ED) between 2012 and 2017. Potential predictors were obtained from the electronic medical records including demographics, vital signs, ED length of stay, preintervention and postintervention Westley Croup Score (WCS), number of racemic epinephrine nebulizations administered, time to dexamethasone administration, preexisting conditions, and additional interventions during hospitalization. Statistical analysis used the outcome "patient received racemic epinephrine after hospital admission (yes/no)" to identify characteristics of the child or ED visit associated with that outcome. Preliminary analyses using stepwise logistic regression, tree models, and random forests suggested predictors, interactions among predictors, and the form of their association with the outcome. A final analysis used logistic regression. Results: A total of 116 croup admissions were included, of which 19 (16%) received racemic epinephrine posthospitalization. These characteristics were identified as having some predictive power: sex, preexisting conditions, and preintervention and postintervention WCS, along with the interaction between sex and postintervention WCS. Logistic regression estimated an equation describing the probability of postadmission intervention, permitting the choice among admission thresholds giving different sensitivities and specificities. Conclusions: There appear to be promising predictors in croup patients presenting to the ED, which might help stratify risk for interventions after the ED encounter and thus reduce the number of potentially avoidable admissions.
MeSH term(s)	Child ; Croup/drug therapy ; Croup/epidemiology ; Emergency Service, Hospital ; Hospitalization ; Humans ; Pilot Projects ; Racepinephrine
Chemical Substances	Racepinephrine (GR0L9S3J0F)
Language	English
Publishing date	2019-03-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	632588-9
ISSN	1535-1815 ; 0749-5161
ISSN (online)	1535-1815
ISSN	0749-5161
DOI	10.1097/PEC.0000000000001829
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Article ; Online: Breast-conserving surgery versus mastectomy for older women with triple-negative breast cancer: population-based study.

Mburu, Waruiru / Kulasingam, Shalini / Hodges, James S / Virnig, Beth A

Journal of comparative effectiveness research

2022 Volume 11, Issue 13, Page(s) 953–967

Abstract: Purpose: ...

Abstract	Purpose:
MeSH term(s)	Aged ; Breast Neoplasms ; Female ; Humans ; Mastectomy ; Mastectomy, Segmental ; Neoplasm Staging ; Prognosis ; Radiotherapy, Adjuvant ; Triple Negative Breast Neoplasms/surgery
Language	English
Publishing date	2022-07-27
Publishing country	England
Document type	Journal Article
ZDB-ID	2669725-7
ISSN	2042-6313 ; 2042-6305
ISSN (online)	2042-6313
ISSN	2042-6305
DOI	10.2217/cer-2021-0273
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Article: A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section.

Zhou, Jincheng / Hodges, James S / Chu, Haitao

Journal of the American Statistical Association

2021 Volume 116, Issue 536, Page(s) 1700–1712

Abstract: Noncompliance with assigned treatments is a common challenge in analyzing and interpreting randomized clinical trials (RCTs). One way to handle noncompliance is to estimate the complier-average causal effect (CACE), the intervention's efficacy in the ... ...

Abstract	Noncompliance with assigned treatments is a common challenge in analyzing and interpreting randomized clinical trials (RCTs). One way to handle noncompliance is to estimate the complier-average causal effect (CACE), the intervention's efficacy in the subpopulation that complies with assigned treatment. In a two-step meta-analysis, one could first estimate CACE for each study, then combine them to estimate the population-averaged CACE. However, when some trials do not report noncompliance data, the two-step meta-analysis can be less efficient and potentially biased by excluding these trials. This paper proposes a flexible Bayesian hierarchical CACE framework to simultaneously account for heterogeneous and incomplete noncompliance data in a meta-analysis of RCTs. The models are motivated by and used for a meta-analysis estimating the CACE of epidural analgesia on cesarean section, in which only 10 of 27 trials reported complete noncompliance data. The new analysis includes all 27 studies and the results present new insights on the causal effect after accounting for noncompliance. Compared to the estimated risk difference of 0.8% (95% CI: -0.3%, 1.9%) given by the two-step intention-to-treat meta-analysis, the estimated CACE is 4.1% (95% CrI: -0.3%, 10.5%). We also report simulation studies to evaluate the performance of the proposed method.
Language	English
Publishing date	2021-04-27
Publishing country	United States
Document type	Journal Article
ZDB-ID	2064981-2
ISSN	1537-274X ; 0162-1459 ; 0003-1291
ISSN (online)	1537-274X
ISSN	0162-1459 ; 0003-1291
DOI	10.1080/01621459.2021.1900859
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Article ; Online: Educating caregivers of persons with cerebral palsy in night-time postural care: A randomized trial comparing two online training programs.

Hutson, Jennifer Ann / Hodges, James S / Snow, LeAnn

Clinical rehabilitation

2021 Volume 35, Issue 9, Page(s) 1317–1328

Abstract: Objective: Compare effectiveness of two differently formatted training programs in educating night-time postural care implementers.: Design: Mixed-methods parallel-group double-blind design with random assignment.: Setting: United States academic ... ...

Abstract	Objective: Compare effectiveness of two differently formatted training programs in educating night-time postural care implementers. Design: Mixed-methods parallel-group double-blind design with random assignment. Setting: United States academic institution. Participants: Thirty-eight adult caregivers/providers of children with cerebral palsy. Interventions: Both 2-hour online programs included content on night-time postural care evidence, risk-factor monitoring, sleep-system types, positioning methods, and assessments. Group A used interactive videos, Group B summary information with web-links. Main measures: We measured self-perceived competence via questionnaires (baseline, post-training, post-simulation) containing 4-point rating-scales of knowledge, ability, and confidence and measured positioning ability via a Results: Thirty-eight completed training (19 per group). Group A (vs B) showed significantly greater self-perceived competence changes post-training (0.46 points (SE 0.17), Conclusion: The sleep care positioning training program (interactive video-based format) is effective in building caregivers' self-perceived competence for night-time postural care. While the lesson was well-received by caregivers and considered a "match [to their] learning style," the lesson did not lead to greater improvement in actual ability to position the "client" compared to control training.
MeSH term(s)	Adult ; Caregivers ; Cerebral Palsy ; Child ; Humans ; Surveys and Questionnaires
Language	English
Publishing date	2021-04-15
Publishing country	England
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	639276-3
ISSN	1477-0873 ; 0269-2155
ISSN (online)	1477-0873
ISSN	0269-2155
DOI	10.1177/02692155211009484
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Article ; Online: A Controlled Study of Biopsychosocial Differences Observed in Masticatory Myalgia With and Without Pain Referral.

Varun, Saranya / Anderson, Gary C / Hodges, James S / Zhang, Lei / Schiffman, Eric L

Journal of oral & facial pain and headache

2023 Volume 37, Issue 2, Page(s) 131–138

Abstract: Aims: To assess differences in biopsychosocial factors between participants with masticatory myofascial pain with referral (MFPwR), with myalgia without referral (Mw/oR), and community controls without TMDs.: Methods: Study participants were ... ...

Abstract	Aims: To assess differences in biopsychosocial factors between participants with masticatory myofascial pain with referral (MFPwR), with myalgia without referral (Mw/oR), and community controls without TMDs. Methods: Study participants were diagnosed with MFPwR (n = 196), Mw/oR (n = 299), or as a non-TMD community control (n = 87) by two calibrated examiners at each of three study sites. Pain chronicity, pain on palpation of masticatory muscle sites, and pressure pain thresholds (PPT) at 12 masticatory muscle, 2 trigeminal, and 2 nontrigeminal control sites were recorded. Psychosocial factors assessed included anxiety, depression, and nonspecific physical symptoms (Symptom Checklist-90 Revised); stress (Perceived Stress Scale); and health-related quality of life (Short Form Health Survey). Comparisons among the three groups were adjusted for age, sex, race, education, and income using multivariable linear regression. The significance threshold was set at P = .017 (.05 / 3) for subsequent pairwise comparisons. Results: Compared to the Mw/oR group, the MFPwR group had significantly greater pain chronicity, number of painful muscle sites, anxiety, depression, nonspecific physical symptoms, and impaired physical health (P < .017). The MFPwR group also had significantly lower PPTs for masticatory sites (P < .017). Both muscle pain groups differed significantly from the non-TMD community control group for all outcome measures (P < .017). Conclusion: These findings support the clinical utility of separating MFPwR from Mw/oR. Patients with MFPwR are more complex from a biopsychosocial perspective than Mw/oR patients, which likely affects prognosis and supports consideration of these factors in case management.
MeSH term(s)	Humans ; Myalgia ; Quality of Life ; Research Design ; Pain Threshold ; Control Groups ; Myofascial Pain Syndromes
Language	English
Publishing date	2023-06-27
Publishing country	United States
Document type	Journal Article
ZDB-ID	2762048-7
ISSN	2333-0376 ; 2333-0384
ISSN (online)	2333-0376
ISSN	2333-0384
DOI	10.11607/ofph.3317
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Article: A Bayesian Hierarchical CACE Model Accounting for Incomplete Noncompliance With Application to a Meta-analysis of Epidural Analgesia on Cesarean Section

Zhou, Jincheng / Hodges, James S. / Chu, Haitao

Journal of the American Statistical Association. 2021 Oct. 2, v. 116, no. 536

2021

Abstract	Noncompliance with assigned treatments is a common challenge in analyzing and interpreting randomized clinical trials (RCTs). One way to handle noncompliance is to estimate the complier-average causal effect (CACE), the intervention’s efficacy in the subpopulation that complies with assigned treatment. In a two-step meta-analysis, one could first estimate CACE for each study, then combine them to estimate the population-averaged CACE. However, when some trials do not report noncompliance data, the two-step meta-analysis can be less efficient and potentially biased by excluding these trials. This article proposes a flexible Bayesian hierarchical CACE framework to simultaneously account for heterogeneous and incomplete noncompliance data in a meta-analysis of RCTs. The models are motivated by and used for a meta-analysis estimating the CACE of epidural analgesia on cesarean section, in which only 10 of 27 trials reported complete noncompliance data. The new analysis includes all 27 studies and the results present new insights on the causal effect after accounting for noncompliance. Compared to the estimated risk difference of 0.8% (95% CI: –0.3%, 1.9%) given by the two-step intention-to-treat meta-analysis, the estimated CACE is 4.1% (95% CrI: –0.3%, 10.5%). We also report simulation studies to evaluate the performance of the proposed method. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
Keywords	Bayesian theory ; analgesia ; cesarean section ; meta-analysis ; models ; risk estimate
Language	English
Dates of publication	2021-1002
Size	p. 1700-1712.
Publishing place	Taylor & Francis
Document type	Article
ZDB-ID	2064981-2
ISSN	1537-274X
ISSN	1537-274X
DOI	10.1080/01621459.2021.1900859
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Rejoinder to "CACE and meta-analysis (letter to the editor)" by Stuart Baker.

Zhou, Jincheng / Hodges, James S / Chu, Haitao

Biometrics

2020 Volume 76, Issue 4, Page(s) 1385–1389

MeSH term(s)	Bayes Theorem ; Patient Compliance ; Randomized Controlled Trials as Topic
Language	English
Publishing date	2020-02-28
Publishing country	United States
Document type	Letter ; Research Support, N.I.H., Extramural ; Comment
ZDB-ID	213543-7
ISSN	1541-0420 ; 0099-4987 ; 0006-341X
ISSN (online)	1541-0420
ISSN	0099-4987 ; 0006-341X
DOI	10.1111/biom.13239
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