Related Experiment Video

Updated: Mar 20, 2026

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.7K

[COMPUTER TECHNOLOGY FOR ACCOUNTING OF CONFOUNDERS IN THE RISK ASSESSMENT IN COMPARATIVE STUDIES ON THE BASE OF THE

Yu V Shalaumova, A N Varaksin, V G Panov

    Gigiena I Sanitariia
    |June 9, 2016
    PubMed

    More Related Videos

    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index06:55

    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

    Published on: January 8, 2020

    15.4K
    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits08:27

    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

    Published on: September 27, 2019

    7.3K

    Related Concept Videos

    Strategies for Assessing and Addressing Confounding01:25

    Strategies for Assessing and Addressing Confounding

    Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
    Confounding can be addressed at both the design phase of a study and through analytical methods after data...
    521
    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,...
    520
    Confounding in Epidemiological Studies01:27

    Confounding in Epidemiological Studies

    Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
    950
    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:
    1.2K
    Study Design in Statistics01:15

    Study Design in Statistics

    A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
    Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
    10.2K
    Randomized Experiments01:13

    Randomized Experiments

    The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
    Simple randomization
    Simple...
    9.3K