Statistical methods for cost-effectiveness analyses that use data from cluster randomized trials: a systematic review and checklist for critical appraisal

M Gomes, R Grieve, R Nixon… - Medical Decision …, 2012 - journals.sagepub.com
Introduction. The best data for cost-effectiveness analyses (CEAs) of group-level
interventions often come from cluster randomized trials (CRTs), where randomization is by …

Developing appropriate methods for cost-effectiveness analysis of cluster randomized trials

M Gomes, ESW Ng, R Grieve, R Nixon… - Medical Decision …, 2012 - journals.sagepub.com
Aim. Cost-effectiveness analyses (CEAs) may use data from cluster randomized trials
(CRTs), where the unit of randomization is the cluster, not the individual. However, most …

The statistical approach in trial-based economic evaluations matters: get your statistics together!

EN Mutubuki, M El Alili, JE Bosmans… - BMC health services …, 2021 - Springer
Background Baseline imbalances, skewed costs, the correlation between costs and effects,
and missing data are statistical challenges that are often not adequately accounted for in the …

Succession after reclamation: identifying and assessing ecological indicators of forest recovery on reclaimed oil and natural gas well pads

RC Lupardus, ACS McIntosh, A Janz, D Farr - Ecological Indicators, 2019 - Elsevier
Site preparation for oil and gas extraction often requires the complete removal of vegetation
and surface soil on the well pad. Although subsequent reclamation then attempts to restore …

What do national pharmacoeconomic guidelines recommend regarding the statistical analysis of trial-based economic evaluations?

JM van Dongen, M El Alili, AN Varga… - Expert review of …, 2020 - Taylor & Francis
Introduction The statistical quality of many trial-based economic evaluations is poor. When
conducting trial-based economic evaluations, researchers often turn to national …

The handling of missing data in trial-based economic evaluations: should data be multiply imputed prior to longitudinal linear mixed-model analyses?

ÂJ Ben, JM van Dongen, ME Alili, MW Heymans… - The European Journal of …, 2023 - Springer
Introduction For the analysis of clinical effects, multiple imputation (MI) of missing data were
shown to be unnecessary when using longitudinal linear mixed-models (LLM). It remains …

Qigong effects on heart rate variability and peripheral vasomotor responses

MY Chang - Western journal of nursing research, 2015 - journals.sagepub.com
Population aging is occurring worldwide, and preventing cardiovascular event in older
people is a unique challenge. The aim of this study was to examine the effects of a 12-week …

Design and analysis of longitudinal trials of antimicrobial use at the end of life: to give or not to give?

M Juthani-Mehta, HG Allore - Therapeutic advances in drug …, 2019 - journals.sagepub.com
This perspective review considers analytic features of the design of a longitudinal trial
regarding antimicrobial therapy in older terminal cancer patients receiving palliative care …

Repeated measures discriminant analysis using multivariate generalized estimation equations

A Brobbey, S Wiebe, A Nettel-Aguirre… - … Methods in Medical …, 2022 - journals.sagepub.com
Discriminant analysis procedures that assume parsimonious covariance and/or means
structures have been proposed for distinguishing between two or more populations in …

Assessing risk indicators of allograft survival of renal transplant: An application of joint modeling of longitudinal and time-to-event analysis

Background: After KIDNEY TRANSPLANTATION, many RISK FACTORS can lead to graft
rejection and force the patient to return to dialysis treatment. Objectives: This study aims to …