Comparison of treatment effects between two types of facemasks in early Class III patients
Sign Up to like & getrecommendations! Published in 2022 at "Clinical and Experimental Dental Research"
DOI: 10.1002/cre2.694
Abstract: To compare the short‐term treatment effects between two types of facemasks in skeletal Class III patients. read more here.
Keywords: class iii; treatment effects; effects two; two types ... See more keywords
Predicting personalised absolute treatment effects in individual participant data meta‐analysis: An introduction to splines
Sign Up to like & getrecommendations! Published in 2022 at "Research Synthesis Methods"
DOI: 10.1002/jrsm.1546
Abstract: BACKGROUND Modelling non-linear associations between an outcome and continuous patient characteristics, whilst investigating heterogeneous treatment effects, is one of the opportunities offered by individual participant data meta-analysis (IPD-MA). Splines offer great flexibility, but guidance is… read more here.
Keywords: treatment effects; analysis; meta analysis; absolute treatment ... See more keywords
Early Treatment Effects of Nonablative Fractional Lasers (NAFL) on Hypertrophic Scars in an Animal Model
Sign Up to like & getrecommendations! Published in 2020 at "Lasers in Surgery and Medicine"
DOI: 10.1002/lsm.23334
Abstract: Recently, there have been several attempts to apply the laser therapy to hypertrophic scars (HTS). In particular, the fractional laser is in the spotlight for its usefulness in rapid wound healing and dermal remodeling. However,… read more here.
Keywords: hypertrophic scars; nonablative fractional; treatment; early treatment ... See more keywords
Validating effectiveness of subgroup identification for longitudinal data.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7500
Abstract: In clinical trials and biomedical studies, treatments are compared to determine which one is effective against illness; however, individuals can react to the same treatment very differently. We propose a complete process for longitudinal data… read more here.
Keywords: longitudinal data; validating effectiveness; individual treatment; treatment ... See more keywords
Estimation and visualization of heterogeneous treatment effects for multiple outcomes
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9638
Abstract: We consider two‐arm comparison in clinical trials. The objective is to identify a population with characteristics that make the treatment effective. Such a population is called a subgroup. This identification can be made by estimating… read more here.
Keywords: heterogeneous treatment; treatment effects; estimation visualization; visualization heterogeneous ... See more keywords
A Bayesian (meta‐)regression model for treatment effects on the risk difference scale
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9697
Abstract: In clinical settings, the absolute risk reduction due to treatment that can be expected in a particular patient is of key interest. However, logistic regression, the default regression model for trials with a binary outcome,… read more here.
Keywords: treatment effects; meta; model; treatment ... See more keywords
Comparison of estimated treatment effects between randomized controlled trials, case-matched, and cohort studies on laparoscopic versus open distal gastrectomy for advanced gastric cancer: a systematic review and meta-analysis
Sign Up to like & getrecommendations! Published in 2022 at "Langenbeck's Archives of Surgery"
DOI: 10.1007/s00423-022-02454-3
Abstract: In actual surgical research, case-matched studies are frequently conducted as an alternative to randomized controlled trials (RCTs). However, it is still unclear what differences there are between RCTs and case-matched studies in upper gastrointestinal surgery,… read more here.
Keywords: controlled trials; estimated treatment; treatment effects; case matched ... See more keywords
Target Trial Emulation for Transparent and Robust Estimation of Treatment Effects for Health Technology Assessment Using Real-World Data: Opportunities and Challenges
Sign Up to like & getrecommendations! Published in 2022 at "PharmacoEconomics"
DOI: 10.1007/s40273-022-01141-x
Abstract: Evidence about the relative effects of new treatments is typically collected in randomised controlled trials (RCTs). In many instances, evidence from RCTs falls short of the needs of health technology assessment (HTA). For example, RCTs… read more here.
Keywords: target trial; world data; treatment effects; trial ... See more keywords
Estimating heterogeneous survival treatment effects of lung cancer screening approaches: A causal machine learning analysis.
Sign Up to like & getrecommendations! Published in 2021 at "Annals of epidemiology"
DOI: 10.1016/j.annepidem.2021.06.008
Abstract: The National Lung Screening Trial (NLST) found that low-dose computed tomography (LDCT) screening provided lung cancer (LC) mortality benefit compared to chest radiography (CXR). Considerable research concerns identifying the differential treatment effects that may exist… read more here.
Keywords: machine learning; treatment; lung cancer; treatment effects ... See more keywords
Efficient semiparametric estimation for Gini inequality treatment effects
Sign Up to like & getrecommendations! Published in 2017 at "Economics Letters"
DOI: 10.1016/j.econlet.2017.02.038
Abstract: This paper evaluates the effects of a program on Gini index where the selection to treatment depends on covariates. We propose a two-step nonparametric estimation procedure for the Gini inequality treatment effects. The proposed new… read more here.
Keywords: estimation; inequality treatment; treatment; gini inequality ... See more keywords
Nonparametric identification and estimation of dynamic treatment effects for survival data in a regression discontinuity design
Sign Up to like & getrecommendations! Published in 2019 at "Economics Letters"
DOI: 10.1016/j.econlet.2019.108665
Abstract: Treatment assignment in the survival literature is often assumed to be allocated simultaneously and independently of prospective treatment gains. This paper relaxes these restrictions by introducing dynamic treatment assignment for survival data in a regression… read more here.
Keywords: dynamic treatment; treatment; data regression; survival data ... See more keywords