Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Bioequivalence Data: Statistical Interpretation01:16

Bioequivalence Data: Statistical Interpretation

The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Educational inequality and reproductive autonomy among female students in China: The mediating role of educational attainment in the context of urban-rural disparities.

African journal of reproductive health·2026
Same journal

Efficacy of live lactobacillus preparations in treating cervical inflammation and clearing viral infections in patients with HPV infection complicated by bacterial vaginosis.

African journal of reproductive health·2026
Same journal

Workplace lactation support, policy awareness, and breastfeeding outcomes among clean room employees in Taiwan's electronics industry - A cross-sectional study.

African journal of reproductive health·2026
Same journal

Efficacy of recombinant human collagen serum for improving skin dryness and roughness in striae gravidarum: a clinical study.

African journal of reproductive health·2026
Same journal

Determinants of immediate family planning utilization among postpartum women in Northwestern Ethiopia.

African journal of reproductive health·2026
Same journal

Perioperative dynamics of siglec-15 and soluble PD-L1 in ovarian cancer surgery: Influence of anaesthetic technique on immune regulation.

African journal of reproductive health·2026

Related Experiment Video

Updated: Jun 10, 2026

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples
12:34

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples

Published on: July 6, 2014

Statistical approach for evaluation of contraceptive data.

Vriyesh Tripathi1

  • 1Department of Mathematics & Computer Science, Faculty of Science & Agriculture University of West Indies, St Augustine Campus, Trinidad & Tobago. vrijesh_tripathi@yahoo.com

African Journal of Reproductive Health
|August 11, 2010
PubMed
Summary

This study offers practical recommendations for analyzing contraceptive use and discontinuation data in developing countries. It introduces a multivariate model to understand factors influencing contraceptive choices and discontinuation rates.

Related Experiment Videos

Last Updated: Jun 10, 2026

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples
12:34

Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples

Published on: July 6, 2014

Area of Science:

  • Public Health
  • Demography
  • Reproductive Health

Background:

  • Contraceptive use and discontinuation are critical factors in reproductive health, particularly in developing nations.
  • Low accessibility and acceptability of contraceptives present significant challenges in ground-level implementation.
  • Existing research often overlooks practical data analysis methods for longitudinal contraceptive studies.

Purpose of the Study:

  • To provide guidance on analyzing longitudinal data concerning contraceptive use and discontinuation.
  • To address the specific needs and challenges faced in developing countries.
  • To present a multivariate model for assessing contraceptive discontinuation rates.

Main Methods:

  • Proposes practical recommendations rather than formal theorems for data analysis.
  • Discusses model validation techniques, including bootstrapping.
  • Introduces a multivariate statistical model to analyze discontinuation.

Main Results:

  • The article presents a framework for analyzing contraceptive discontinuation.
  • The proposed model accounts for factors influencing both provider choice and discontinuation probability.
  • Highlights the importance of considering provider choice in discontinuation analysis.

Conclusions:

  • Effective analysis of contraceptive use data is crucial for improving reproductive health outcomes in developing countries.
  • The multivariate model offers a robust approach to understanding discontinuation dynamics.
  • Addressing accessibility and acceptability through improved data analysis can enhance contraceptive uptake and continuation.