Explanipedia

Temporal Trends in the Rates of Foot Complications and Lower Extremity Amputation Related to Type 1 and Type 2 Diabetes in Adults in Selected Canadian Provinces Open

Angela Y. Kim, James A. Hanley, Rebecca Fuhrer, Charles de Mestral · 2025

The national rate of major amputation related to diabetes has decreased, but the burden of DFCs requiring hospitalization has not. These contemporary data support the need to strengthen foot screening and limb preservation efforts for peop…

Teaching/Learning Multiple Regression Using Historical and Modern Family Data Open

James A. Hanley · 2025

To deal with the new concepts involved when moving up from simple to multiple regression, I have found that it helps to use readily-understood real-world datasets that involve an engaging question, measurements that students can personally…

Measurement variability of radiologists when measuring brain tumors Open

Ines Van Loo, Teresa M. Tareco Bucho, James A. Hanley, Regina G. H. Beets‐Tan, Alex L.T. Imholz , et al. · 2024

This study provides a minimum expected measurement error using real-world data. The impact of measurement error on response evaluation criteria misclassification in brain lesions was most pronounced for eyeballing. Future research should f…

Establishing an antimicrobial stewardship centre of excellence: A global health partnership between KNUST University hospital & Ulster University Open

Aaron J. Courtenay, Ahmed Abuelhana, James A. Hanley, Kwame Ayisi Boateng, Obed Kwabena Offe Amponsah · 2024

AIM: To create a sustainable global-health antimicrobial stewardship (AMS) focused partnership between Ulster University and Kwame Nkrumah University of Science and Technology (KNUST) University-hospital, enhancing clinical practices and p…

NMR Phase Error Correction with New Modeling Approaches Open

Aixiang Jiang, Andrée E. Gravel, Ethan Tse, Sanjoy Das, James A. Hanley , et al. · 2024

Nuclear Magnetic Resonance (NMR) spectroscopy is a highly sensitive analytical technique essential for precise molecular identification and quantification. However, accurate results depend on effective pre-processing to correct for various…

Time-dependent prognostic accuracy measures for recurrent event data Open

Rajib Dey, Douglas E. Schaubel, James A. Hanley, Paramita Saha‐Chaudhuri · 2024

In many clinical contexts, the event of interest could occur multiple times for the same patient. Considerable advancement has been made on developing recurrent event models based on or that use biomarker information. However, less attenti…

An evaluation of mindful clinical congruence in medical students after course-based teaching Open

Tom A. Hutchinson, James A. Hanley, Stephen Liben, Stuart Lubarsky · 2024

Purpose: We questioned whether an intensive experiential core course would change medical students’ intention to practice mindful clinical congruence. Our primary hypothesis was that we would see more of a change in the intention to practi…

Down the Victorian data mine Open

James A. Hanley, Elizabeth Turner · 2024

We tend to think of data mining as having originated in the late twentieth century, prompted in large part by e-commerce. But, here, James Hanley and Elizabeth Turner tell the story of an eighteenth-century customer loyalty programme later…

Investigating Sensitive Issues in Class Through Randomized Response Polling Open

Christian Genest, James A. Hanley, Sahir Bhatnagar · 2024

This article provides an introduction to randomized response polling, a technique which was designed to allow for questioning on sensitive issues while protecting the respondent’s privacy and avoiding social desirability bias. It is descri…

Deaths averted: An unbiased alternative to rate ratios for measuring the performance of cancer screening programs Open

Wilber Deck, James A. Hanley · 2023

Introduction Screening trials and meta-analyses emphasize the ratio of cancer death rates in screening and control arms. However, this measure is diluted by the inclusion of deaths from cancers that only became detectable after the end of …

Ranking versus rating in peer review of research grant applications Open

Robyn Tamblyn, Nadyne Girard, James A. Hanley, Bettina Habib, Adrian Soto‐Mota , et al. · 2023

The allocation of public funds for research has been predominantly based on peer review where reviewers are asked to rate an application on some form of ordinal scale from poor to excellent. Poor reliability and bias of peer review rating …

Risks and rates, and the mathematical link between them Open

James A. Hanley · 2023

The risk over a given time span can be calculated as the exponentiated value of the negative of the integral of the incidence density function (or hazard rate function) over that time span. This relationship is widely used but, in the few …

Inference for covariate‐adjusted time‐dependent prognostic accuracy measures Open

Rajib Dey, James A. Hanley, Paramita Saha‐Chaudhuri · 2023

Evaluating the prognostic performance of candidate markers for future disease onset or progression is one of the major goals in medical research. A marker's prognostic performance refers to how well it separates patients at the high or low…

casebase: An Alternative Framework for Survival Analysis and Comparison of Event Rates Open

Sahir Bhatnagar, Maxime Turgeon, Jesse Islam, James A. Hanley, Olli Saarela · 2022

In clinical studies of time-to-event data, a quantity of interest to the clinician is their patient's risk of an event. However, methods relying on time matching or risk-set sampling (including Cox regression) eliminate the baseline hazard…

In Memoriam: Olli S. Miettinen (1936-2021) Open

Jacobus Lubsen, James A. Hanley, Albert Hofman · 2022

The (Im)precision of Life Expectancy Numbers Open

James A. Hanley · 2022

Life expectancy figures for countries and population segments are increasingly being reported to more decimal places and used as indicators of the strengths or failings of countries’ health and social systems. Reports seldom quantify their…

Underestimating the lung cancer mortality reductions produced by low-dose CT screening Open

James A. Hanley, Wilber Deck, Maryse Kochoedo · 2021

LASSO type penalized spline regression for binary data Open

Muhammad Abu Shadeque Mullah, James A. Hanley, Andrea Benedetti · 2021

Differential follow-up patterns in COVID-19 and comparison cohorts Open

Rebecca Fuhrer, James A. Hanley · 2021

The Political Economy of the Demagogic Presidency Open

James A. Hanley · 2021

CATCHING COVID-19 HIDDEN IN THE CANCER Open

Rafael Otero, Jeann Maldonado Cintron, Oziel Garza de la Garza, Earl Mejia, Lu‐Yang Jin , et al. · 2020

casebase: An Alternative Framework For Survival Analysis and Comparison of Event Rates Open

Sahir Bhatnagar, Maxime Turgeon, Jesse Islam, James A. Hanley, Olli Saarela · 2020

In epidemiological studies of time-to-event data, a quantity of interest to the clinician and the patient is the risk of an event given a covariate profile. However, methods relying on time matching or risk-set sampling (including Cox regr…

Modeling perinatal mortality in twins via generalized additive mixed models: a comparison of estimation approaches Open

Muhammad Abu Shadeque Mullah, James A. Hanley, Andrea Benedetti · 2019

Background The analysis of twin data presents a unique challenge. Second-born twins on average weigh less than first-born twins and have an elevated risk of perinatal mortality. It is not clear whether the risk difference depends on birth …

Effect of an Electronic Medication Reconciliation Intervention on Adverse Drug Events Open

Robyn Tamblyn, Michał Abrahamowicz, David L. Buckeridge, Melissa Bustillo, Alan J. Forster , et al. · 2019

ClinicalTrials.gov identifier: NCT01179867.

Pumping Iron - How Do Race and Gender Affect the Risk of Anemia in a Cohort of Predominantly Hispanic Heart Failure (HF) Patients Seen in a Community Hospital in the Rio Grande Valley (RGV)? Open

Michael LaPelusa, Andrea M. Cordero‐Reyes, Francisco Avellan, Daniella Concha, Laura Beatriz García , et al. · 2019

Introduction Anemia in patients with heart failure (HF) is common. Data reported shows a variable prevalence ranging from 10-40%. Additionally, it has also been demonstrated that it is associated with poor outcomes. Multiple risk factors h…

Ability to Predict New-Onset Psychological Distress Using Routinely Collected Health Data: A Population-Based Cohort Study of Women Diagnosed With Breast Cancer Open

Ania Syrowatka, James A. Hanley, Daniala L. Weir, William G Dixon, Ari N. Meguerditchian , et al. · 2018

Objectives: The primary objective of this study was to identify the predictors of new-onset psychological distress available in routinely collected administrative health databases for women diagnosed with breast cancer. The secondar…

Assessment of potential bias in research grant peer review in Canada Open

Robyn Tamblyn, Nadyne Girard, Christina Qian, James A. Hanley · 2018

There is evidence of bias in peer review of operating grants that is of sufficient magnitude to change application scores from fundable to nonfundable. This should be addressed by training and policy changes in research funding.

Statistical Behaviors: Personal and Computer-Aided Observations Open

James A. Hanley · 2018

My early years as a statistician were with the Eastern Co-operative Oncology Group and the Radiation Oncology Therapy Group; three of these years were spent at the Sidney Farber Cancer Institute. Later, I collaborated widely with investiga…

Mortality reductions due to mammography screening: Contemporary population-based data Open

James A. Hanley, Ailish Hannigan, Katie M. O’Brien · 2017

Our objective was to compare breast cancer mortality in two regions of the Republic of Ireland that introduced a screening programme eight years apart, and to estimate the steady-state mortality deficits the programme will produce. We carr…

Twin Data that Made a Big Difference, and that Deserve to be Better-Known and Used in Teaching Open

Harlan Campbell, James A. Hanley · 2017

Because of their efficiency and ability to keep many other factors constant, twin studies have a special appeal for investigators. Just as with any teaching dataset, a “matched-sets” dataset used to illustrate a statistical model should be…

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