Physical Sciences and Mathematics Commons^™

Coxphlb: An R Package For Analyzing Length Biased Data Under Cox Model, Chi Hyun Lee, Heng Zhou, Jing Ning, Diane D. Liu, Yu Shen

Biostatistics and Epidemiology Faculty Publications Series

Data subject to length-biased sampling are frequently encountered in various applications including prevalent cohort studies and are considered as a special case of left-truncated data under the stationarity assumption. Many semiparametric regression methods have been proposed for lengthbiased data to model the association between covariates and the survival outcome of interest. In this paper, we present a brief review of the statistical methodologies established for the analysis of length-biased data under the Cox model, which is the most commonly adopted semiparametric model, and introduce an R package CoxPhLb that implements these methods. Specifically, the package includes features such as fitting …

The Incubation Period Of Coronavirus Disease 2019 (Covid-19) From Publicly Reported Confirmed Cases: Estimation And Application, Stephen A. Lauer, Kyra H. Grantz, Qifang Bi, Forest K. Jones, Qulu Zheng, Hannah R. Meredith, Andrew S. Azman, Nicholas G. Reich, Justin Lessler

Biostatistics and Epidemiology Faculty Publications Series

Background:

A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was identified in China in December 2019. There is limited support for many of its key epidemiologic features, including the incubation period for clinical disease (coronavirus disease 2019 [COVID-19]), which has important implications for surveillance and control activities.

Objective:

To estimate the length of the incubation period of COVID-19 and describe its public health implications.

Design:

Pooled analysis of confirmed COVID-19 cases reported between 4 January 2020 and 24 February 2020.

Setting:

News reports and press releases from 50 provinces, regions, and countries outside Wuhan, Hubei province, China. …

Development Of The Gambling Disorder Identification Test: Results From An International Delphi And Consensus Process, Olof Molander, Rachel Volberg, Viktor Månsson, Kristina Sundqvist, Peter Wennberg, Anne H. Berman

Biostatistics and Epidemiology Faculty Publications Series

Objectives

Diverse instruments are used to measure problem gambling and Gambling Disorder intervention outcomes. The 2004 Banff consensus agreement proposed necessary features for reporting gambling treatment efficacy. To address the challenge of including these features in a single instrument, a process was initiated to develop the Gambling Disorder Identification Test (GDIT), as an instrument analogous to the Alcohol Use Disorders Identification Test and the Drug Use Disorders Identification Test.

Methods

Gambling experts from 10 countries participated in an international two‐round Delphi (n = 61; n = 30), rating 30 items proposed for inclusion in the GDIT. Gambling researchers and …

Improved Viral Suppression With Streamlined Care In The Search Study, Matthew D. Hickey, James Ayieko, Dalsone Kwarisiima, Fredrick J. Opel, Asiphas Owaraganise, Laura B. Balzer, Gabriel Chamie, Vivek Jain, James Peng, Carol Camlin, Edwin D. Charlebois, Craig R. Cohen, Elizabeth A. Bukusi, Moses R. Kamya, Maya L. Petersen, Diane V. Havlir

Biostatistics and Epidemiology Faculty Publications Series

Background:

HIV differentiated service delivery (DSD) models are scaling up in resource-limited settings for stable patients; less is known about DSD outcomes for patients with viremia. We evaluated the effect on viral suppression (VS) of a streamlined care DSD model implemented in the SEARCH randomized universal test and treat trial in rural Uganda and Kenya (NCT:01864603).

Methods:

We included HIV-infected adults at baseline (2013) who were country guideline antiretroviral therapy (ART) eligible (prior ART experience or CD4 ≤ 350) with ≥1 HIV clinic visit between 2013 and 2017 in SEARCH communities randomized to intervention (N = 16) or control (N …

State Or Market? How To Effectively Decrease Alcohol-Related Crash Fatalities And Injuries, Jose I. Nazif-Muñoz, Brice Batomen, Youssef Oulhote, Arijit Nandi

Biostatistics and Epidemiology Faculty Publications Series

Background It is estimated that more than 270 000 people die yearly in alcohol-related crashes globally. To tackle this burden, government interventions, such as laws which restrict blood alcohol concentration (BAC) levels and increase penalties for drunk drivers, have been implemented. The introduction of private-sector measures, such as ridesharing, is regarded as alternatives to reduce drunk driving and related sequelae. However, it is unclear whether state and private efforts complement each other to reduce this public health challenge.

Methods We conducted interrupted time-series analyses using weekly alcohol-related traffic fatalities and injuries per 1 000 000 population in three urban conglomerates …