Sensitivity of methods for analyzing continuous outcome from stratified cluster randomized trials – an empirical comparison study
نویسندگان
چکیده
منابع مشابه
Methods for analyzing cost effectiveness data from cluster randomized trials
BACKGROUND Measurement of individuals' costs and outcomes in randomized trials allows uncertainty about cost effectiveness to be quantified. Uncertainty is expressed as probabilities that an intervention is cost effective, and confidence intervals of incremental cost effectiveness ratios. Randomizing clusters instead of individuals tends to increase uncertainty but such data are often analysed ...
متن کاملStatistical methods for analyzing sequentially randomized trials.
In this issue of the Journal, Thall et al. present the results of a clinical trial that makes use of sequential randomization, a novel trial design that allows the investigator to study adaptive treatment strategies. Our aim is to complement this groundbreaking work by reviewing the current state of the art of statistical methods available for such analyses. Using the data collected by Thall et...
متن کاملEmpirical comparison of four baseline covariate adjustment methods in analysis of continuous outcomes in randomized controlled trials
BACKGROUND Although seemingly straightforward, the statistical comparison of a continuous variable in a randomized controlled trial that has both a pre- and posttreatment score presents an interesting challenge for trialists. We present here empirical application of four statistical methods (posttreatment scores with analysis of variance, analysis of covariance, change in scores, and percent ch...
متن کاملMethods for sample size determination in cluster randomized trials
BACKGROUND The use of cluster randomized trials (CRTs) is increasing, along with the variety in their design and analysis. The simplest approach for their sample size calculation is to calculate the sample size assuming individual randomization and inflate this by a design effect to account for randomization by cluster. The assumptions of a simple design effect may not always be met; alternativ...
متن کاملAnalysis of survival data from trials with non-proportional hazards: an empirical comparison of methods
Methods We analyse survival data reconstructed from two trials publications which reported extreme non-proportional hazards (with respective p-values as 9.19E-13 and 1.344E-24 in non-PH Grambsch-Thernau test). We use the Cox proportional hazards model, flexible parametric model and accelerated failure time model to estimate the time-independent hazard ratio, between-arm difference in restricted...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Contemporary Clinical Trials Communications
سال: 2019
ISSN: 2451-8654
DOI: 10.1016/j.conctc.2019.100405