The classical two-sample t-test assumes that observations are independent. A violation of this assumption could lead to unreliable or even erroneous conclusions. However, in many biological studies, data are recorded over time and hence exhibit serial correlation. In order to take such temporal dependence into account, we suggest applying the sieve bootstrap method to generate replications of the observed data and then using these proxy-dependent processes to construct the empirical distribution for the t-statistic. The proposed method is fast, distribution-free, and well approximates the nominal significance level. We illustrate our approach in application to detection problem of brain activity in functional magnetic resonance imaging (fMRI) and a longitudinal study of weight growth in rats.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/10543406.2011.610027 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients.
J Appl Stat
February 2024
Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia.
This study explores zero-inflated count time series models used to analyze data sets with characteristics such as overdispersion, excess zeros, and autocorrelation. Specifically, we investigate the process, a first-order stationary integer-valued autoregressive model with random coefficients and a zero-inflated geometric marginal distribution. Our focus is on examining various estimation and prediction techniques for this model.
View Article and Find Full Text PDFImproving estimation efficiency of case-cohort studies with interval-censored failure time data.
Stat Methods Med Res
September 2024
Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong.
The case-cohort design is a commonly used cost-effective sampling strategy for large cohort studies, where some covariates are expensive to measure or obtain. In this paper, we consider regression analysis under a case-cohort study with interval-censored failure time data, where the failure time is only known to fall within an interval instead of being exactly observed. A common approach to analyzing data from a case-cohort study is the inverse probability weighting approach, where only subjects in the case-cohort sample are used in estimation, and the subjects are weighted based on the probability of inclusion into the case-cohort sample.
View Article and Find Full Text PDFA 13-Year Trend Analysis of HIV Epidemiology in the Philippines (2010 to 2022).
J Community Health Nurs
September 2024
College of Nursing, Visayas State University, Baybay City, Leyte, Philippines.
Purpose: This article describes the trends and contributing factors in the human immunodeficiency virus (HIV) infection and acquired immune deficiency syndrome (AIDS) epidemiology in the Philippines from 2010 to 2022. This is the first trend analysis of the Philippine HIV/AIDS situation.
Design: Using time trend research design, 13-year longitudinal epidemiological data were collected and analyzed to present a dynamic perspective of the Philippine HIV/AIDS epidemic.
Depression and Anxiety Symptoms Among Cisgender Gay and Bisexual Men During the Onset of the COVID-19 Pandemic: Time Series Analysis of a US National Cohort Study.
JMIR Public Health Surveill
January 2024
CUNY Graduate School of Public Health and Health Policy, New York, NY, United States.
Background: The onset of the COVID-19 pandemic in the United States in March 2020 caused a dramatic change in the way many people lived. Few aspects of daily life were left undisrupted by the pandemic's onset as well as the accompanying policies to control the spread of the disease. Previous research has found that the pandemic may have significantly impacted the mental health of lesbian, gay, bisexual, transgender, and queer (LGBTQ) individuals-potentially more so than other individuals.
View Article and Find Full Text PDFSurvival and Recurrence of Endocarditis following Mechanical vs. Biological Aortic Valve Replacement for Endocarditis in Patients Aged 40 to 65 Years: Data from the INFECT-Registry.
J Clin Med
December 2023
Division of Cardiac Surgery, Ospedale Policlinico San Martino, 16132 Genoa, Italy.
Article Synopsis
- Infective endocarditis (IE) often requires surgery, and this study evaluates how different types of aortic valve replacements (AVR) affect long-term survival and recurrence of endocarditis in patients aged 40 to 65.
- A total of 549 patients were analyzed, with a notable trend toward decreased use of mechanical prostheses compared to biological ones over time.
- Results showed that patients with mechanical prostheses had significantly higher survival rates and lower recurrence of endocarditis compared to those with biological prostheses.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!