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Appropriateness of Conducting and Reporting Random-Effects Meta-Analysis in Oncology
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Jinma Ren; Jia Ma; Joseph C. Cappelleri – Research Synthesis Methods, 2024
A random-effects model is often applied in meta-analysis when considerable heterogeneity among studies is observed due to the differences in patient characteristics, timeframe, treatment regimens, and other study characteristics. Since 2014, the journals "Research Synthesis Methods" and the "Annals of Internal Medicine" have…
Descriptors: Meta Analysis, Effect Size, Oncology, Patients
Meta-Analyses of Phase I Dose-Finding Studies: Application for the Development of Protein Kinase Inhibitors in Oncology
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Laura Caquelin; Pauline Badra; Lucas Poulain; Bruno Laviolle; Moreno Ursino; Clara Locher – Research Synthesis Methods, 2024
This study aimed to assess the feasibility of applying two recent phase I meta-analyses methods to protein kinase inhibitors (PKIs) developed in oncology and to identify situations where these methods could be both feasible and useful. This ancillary study used data from a systematic review conducted to identify dose-finding studies for PKIs. PKIs…
Descriptors: Oncology, Cancer, Medical Care Evaluation, Medical Research
Assessing the Impact of a Matching-Adjusted Indirect Comparison in a Bayesian Network Meta-Analysis
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Leahy, Joy; Walsh, Cathal – Research Synthesis Methods, 2019
If IPD is available for some or all trials in a network meta-analysis (NMA), then incorporating this IPD into an NMA is routinely considered to be preferable. However, the situation often arises where a researcher has IPD for trials concerning a particular treatment (eg, from a sponsor) but none for other trials. Therefore, one can reweight the…
Descriptors: Comparative Analysis, Meta Analysis, Bayesian Statistics, Network Analysis
Estimating Hazard Ratios from Published Kaplan-Meier Survival Curves: A Methods Validation Study
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Saluja, Ronak; Cheng, Sierra; delos Santos, Keemo Althea; Chan, Kelvin K. W. – Research Synthesis Methods, 2019
Objective: Various statistical methods have been developed to estimate hazard ratios (HRs) from published Kaplan-Meier (KM) curves for the purpose of performing meta-analyses. The objective of this study was to determine the reliability, accuracy, and precision of four commonly used methods by Guyot, Williamson, Parmar, and Hoyle and Henley.…
Descriptors: Meta Analysis, Reliability, Accuracy, Randomized Controlled Trials
Bayesian One-Step IPD Network Meta-Analysis of Time-to-Event Data Using Royston-Parmar Models
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Freeman, Suzanne C.; Carpenter, James R. – Research Synthesis Methods, 2017
Network meta-analysis (NMA) combines direct and indirect evidence from trials to calculate and rank treatment estimates. While modelling approaches for continuous and binary outcomes are relatively well developed, less work has been done with time-to-event outcomes. Such outcomes are usually analysed using Cox proportional hazard (PH) models.…
Descriptors: Bayesian Statistics, Network Analysis, Meta Analysis, Data
Random-Effects Meta-Analysis for Systematic Reviews of Phase I Clinical Trials: Rare Events and Missing Data
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Kim, Mi-Ok; Wang, Xia; Liu, Chunyan; Dorris, Kathleen; Fouladi, Maryam; Song, Seongho – Research Synthesis Methods, 2017
Phase I trials aim to establish appropriate clinical and statistical parameters to guide future clinical trials. With individual trials typically underpowered, systematic reviews and meta-analysis are desired to assess the totality of evidence. A high percentage of zero or missing outcomes often complicate such efforts. We use a systematic review…
Descriptors: Meta Analysis, Synthesis, Literature Reviews, Pediatrics