2020 design and methods of the Population Assessment of Tobacco and Health (PATH) study during the COVID-19 pandemic.

The Population Assessment of Tobacco and Health (PATH) Study is a nationally representative, longitudinal study of the US population on tobacco use and its effects on health, collecting data annually since 2013. The COVID-19 pandemic interrupted in-person survey data collections around the world. In the USA, this included a PATH Study data collection focused on youth (13-17) and young adults (18-19) as well as other US surveys on tobacco use.

Update to the design and methods of the PATH Study, Wave 4 (2016-2017).

The Population Assessment of Tobacco and Health (PATH) Study is a nationally representative study of the US population on tobacco use and its effects on health, with four waves of data collection between 2013 and 2017. Prior work described the methods of the first three waves. In this paper, we describe the methods of Wave 4, during which a replenishment sample was added to the ongoing cohort.

Theory, methods, and operational results of the Young Women's Health History Study: a study of young-onset breast cancer incidence in Black and White women.

Purpose: The etiology of young-onset breast cancer (BC) is poorly understood, despite its greater likelihood of being hormone receptor-negative with a worse prognosis and persistent racial and socioeconomic inequities. We conducted a population-based case-control study of BC among young Black and White women and here discuss the theory that informed our study, exposures collected, study methods, and operational results.

Methods: Cases were non-Hispanic Black (NHB) and White (NHW) women age 20-49 years with invasive BC in metropolitan Detroit and Los Angeles County SEER registries 2010-2015.

Longitudinal Uses of the Population Assessment of Tobacco and Health Study.

Objectives: The Population Assessment of Tobacco and Health (PATH) Study is a nationally representative study of the US population on tobacco use and its effects on health, with 3 waves of data collection between 2013 and 2016. Prior work described the methods of the first wave. In this paper, we describe the methods of the subsequent 2 waves and provide recommendations for how to conduct longitudinal analyses of PATH Study data.

Sample frame and related sample design issues for surveys of physicians and physician practices.

A sample frame is the listing of the units from which a sample is to be selected. When deciding upon a file to serve as a source for a sample frame for a survey, perhaps the most important consideration is the extent to which the target population will be covered by the frame. However, other issues also come into play such as the accuracy of contact and other information appearing on the file as well as its cost.

Hypertension and risk of renal cell carcinoma among white and black Americans.

Background: Renal cell carcinoma and hypertension (a well-established renal cancer risk factor) are both more frequent among blacks than whites in the United States. The association between hypertension and renal cell carcinoma has not been examined in black Americans. We investigated the hypertension-renal cancer association by race, and we assessed the role of hypertension in the racial disparity of renal cancer incidence.

A case-control study of reproductive factors and renal cell carcinoma among black and white women in the United States.

Objective: Renal cell carcinoma (RCC) incidence is higher among blacks than whites in the United States and has been associated with the frequency and timing of childbirth among women in some epidemiologic studies. We investigated whether reproductive factors are associated with RCC, overall and by race, within a population-based case-control study.

Methods: Between 2002 and 2007, 497 female cases of incident RCC (136 black, 361 white) and 546 female controls (273 black, 273 white) within the Detroit and Chicago metropolitan areas were enrolled.

Commentary: Trade-offs in the development of a sample design for case-control studies.

The recent article, "Comparison of Telephone Sampling and Area Sampling: Response Rates and Within-Household Coverage" (Am J Epidemiol 2001;153:1119-27), raised a number of issues related to two sampling methodologies that can be used for selecting population-based controls for case-control studies: random digit dialing (RDD) and area probability sampling. Some of these issues are discussed in this commentary in more detail to help in making sample design decisions, including the need to take the analysis plan into account when developing a sample design. Data from the paper are used to illustrate how the choice of sample design can affect analyses.