Understanding logistic regression analysis.

Sandro Sperandei

April 2014 Biochem Med (Zagreb)

Synopsis of Social media discussions

The views reflect a strong interest in understanding logistic regression, exemplified by posts about upcoming webinars and workshops featuring renowned statisticians. The tone is enthusiastic and eager, but the discussions mainly revolve around participation rather than deep engagement or critical appraisal, which keeps the impact moderate.

A
Agreement
 Neither agree nor disagree

The discussions mainly express anticipation and positive intent, but do not show strong agreement or disagreement with the publication's content.

I
Interest
 High level of interest

There is high interest, as many posts are about webinars, workshops, and events related to logistic regression analysis.

E
Engagement
 Moderate level of engagement

Posts mention upcoming sessions and shared experiences, indicating some participation but not deep discussion or critique.

I
Impact
 Neutral impact

The overall impact appears moderate, focused on participation in educational events rather than critical analysis or broad influence.

Social Mentions

YouTube

3 Videos

Twitter

13 Posts

News

1 Articles

Metrics

Video Views

153

Total Likes

46

Extended Reach

134,128

Social Features

17

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Understanding Odds Ratios in Medical Research and Clinical Models

Understanding Odds Ratios in Medical Research and Clinical Models

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. Proper understanding and application of odds ratios can improve research quality and inform evidence-based decision-making.

hellomedstat

May 7, 2024

99 views

Understanding Odds Ratios: Best Practices in Medical and Social Research

Understanding Odds Ratios: Best Practices in Medical and Social Research

Odds ratios measure the strength of association between variables. This video reviews best practices for calculating and interpreting odds ratios, emphasizing confidence intervals and bias considerations to improve research validity and decision-making.

hellomedstat

May 7, 2024

30 views

Understanding Odds Ratios for Clinical and Research Data Analysis

Understanding Odds Ratios for Clinical and Research Data Analysis

Odds ratios are a common statistical tool used to measure the strength of association between two variables. Proper calculation and interpretation, including confidence intervals and bias considerations, are essential for valid research outcomes.

hellomedstat

May 9, 2024

24 views

  • Geoff Hollinhurst
    @SScotland54321 (Twitter)

    @lewieatlarge @EssexPR Yeah, I’m sure you both are really up on understanding logistic regression analysis and adjusted odds ratios.
    view full post

    July 17, 2023

  • Dr. Dharma Ram Poonia
    @drdharmapoonia (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    December 1, 2020

    9

  • Dr. Ashish Gulia
    @docgulia (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    November 30, 2020

    9

  • Anant Bhan
    @AnantBhan (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    November 30, 2020

    9

  • Nuradh Joseph
    @nuradh (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    November 30, 2020

    9

  • Nikita Mehra
    @DrNikitaMehra (Twitter)

    Looking forward to attending the @CancerGridIndia webinar-‘Understanding logistic regression analysis’: 5th December at 7 PM The timing could not be more perfect! @ASH_hematology conference begins at 7 AM PT (8 30 PM IST) on 5th December ☕️ ☕️ https://t.co/jQZz7Qw7Nk
    view full post

    November 29, 2020

    5

  • Queen’s Global Oncology Program
    @QueensGlobalOnc (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    November 29, 2020

    9

  • Geetu Bhandoria
    @Bhandoria (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    November 29, 2020

    9

  • Amitabh Joshi
    @joshiamitabhevo (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    November 29, 2020

    9

  • Ayush Lohiya
    @ayush025 (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    November 29, 2020

    9

  • Shailja Vaidya Gupta
    @himdaughter (Twitter)

    RT @cspramesh: Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the…
    view full post

    November 29, 2020

    9

  • Pramesh CS
    @cspramesh (Twitter)

    Join us for the @CancerGridIndia @credoworkshop Virtual Research Board on 5th Dec at 1900 hours (IST). Listen to one of the world's top biostatisticians Xavier Paoletti from @institut_curie speaking on "Understanding logistic regression analysis" https://t.co/oBDcmvSmgp
    view full post

    November 29, 2020

    38

    9

  • Douglas Angulo Herrera
    @djanguloh (Twitter)

    Understanding logistic regression analysis https://t.co/6zb3l3wjlZ
    view full post

    November 29, 2020

    2

  • Logistic Regression | PDF | Logistic Regression | Odds Ratio

    Biochemia Medica 2014;24(1):12-8 http://dx.doi.org/10.11613/BM.2014.003. 14 SperandeiS. Logistic regression analysis. the same outcome. Probability is ...
    view full post

    December 11, 2025

    News

Abstract Synopsis

  • Logistic regression is a statistical method used to analyze the impact of multiple variables on the odds of a specific event occurring, especially when the response variable is binomial (yes/no, success/failure).
  • The technique is similar to multiple linear regression but is designed for situations where the outcome is categorical, allowing researchers to understand how each variable influences the odds while controlling for others.
  • The main benefits include avoiding confounding effects and providing clear interpretations of how each factor affects the likelihood of the event, with examples and discussions to make the concepts easier to understand.]