Ariel Linden Linden Consulting Group, LLC In this paper, I describe how to assess whether treatment groups are comparable on observed baseline covariates (balance) in non-randomized studies using the new Stata package for implementing ODA. View journal article

Ariel Linden Linden Consulting Group, LLC In this paper, I describe how to assess whether treatment groups are comparable on observed baseline covariates (balance) in non-randomized studies using the new Stata package for implementing ODA. View journal article

Ariel Linden Linden Consulting Group, LLC This paper describes how dose-response relationships can be evaluated using the new Stata package for implementing ODA. View journal article

Nathaniel J. Rhodes Chicago College of Pharmacy, and the Pharmacometrics Center of Excellence, Midwestern University Statistical power analysis simulation results are provided for determining the “worst-case” sample size assuming minimal measurement precision and relatively weak or moderate effect strengths. In simulated trials with relatively weak effects (ESS = 24%), greater than 80% and greater than … Continue reading Statistical Power Analysis in ODA, CTA and Novometrics (Invited)

Ariel Linden Linden Consulting Group, LLC In this paper, I demonstrate how treatment effects in observational data can be estimated for both binary and multivalued treatments using the new Stata package for implementing ODA. Matching and weighting techniques are implemented and ODA results are compared to those using conventional regression approaches. View journal article  

Ariel Linden Linden Consulting Group, LLC In this paper, the new Stata package for implementing ODA is introduced by reanalyzing data from a study by Linden and Butterworth (2014) that investigated the effect of a comprehensive hospital-based intervention in reducing readmissions for chronically ill patients. In the original analysis, negative binomial regression was used to … Continue reading Implementing ODA From Within Stata: An Application to Data From a Randomized Controlled Trial (Invited)

Dr. Ariel Linden created and published the Stata programs for running MegaODA and CTA software. To run MegaODA and CTA software within Stata refer to ODA articles discussing this topic in the article’s title.

Paul R. Yarnold Optimal Data Analysis, LLC The first axiom of novometric theory is reformulated, and two methods for assessing the minimum required sample size in experimental design are discussed. View journal article  

Paul R. Yarnold, Nathaniel J. Rhodes, & Ariel Linden Optimal Data Analysis LLC, Chicago College of Pharmacy and the Pharmacometrics Center of Excellence at Midwestern University, & Linden Consulting Group LLC Different weighting schemes in optimal survival analysis are considered. View journal article