InfluentialPoints.com

InfluentialPoints provides information and training in statistics for students and professionals working in:

  •  Clinical and Epidemiological Medical Research
  •  Livestock Health and Production
  •  Agricultural, Fisheries and Environmental Science
  •  Ecology, Biodiversity & Wildlife Conservation.

What InfluentialPoints Does: Our Biostatistics Course  Our Statistical Critiques  Our Image galleries 

  
InfluentialPoints
Our homepage 
Why reverse-engineer stats 
Statistical critiques 
In the field 
Our sitemap 

Critiques
MMR & Wakefield 
TB & badger culls 
Organic farming 
Why criticise stats? 
Problems with normality 
Beyond histograms with R 
Simulation for learning 

Diseases & health
Foot & mouth 
Schmallenberg 
Cattle TB 
MMR vaccine 
Traditonal fertility 

Disease vectors
Brown ticks 
Hard ticks 
Horseflies, clegs 
Stable & face-flies 
Tsetse & lice 
Mossies & midges 
Schmallenberg, midges 

Aphid genera
List of genera 
Genus Cinara 
Genus Drepanosiphum 

Our downloadable e-learning course is designed to enable biologists to master statistical design and analysis rather than merely showing them how to use statistical methods. Our on-line critiques and controversies encourage critical appraisal of current approaches to statistical analysis and design in biology. In this way we intend to promote good science amongst biologists, and to improve understanding of scientific controversies among non-scientists.

InfluentialPoints helps biologists, medical researchers, veterinarians, ecologists and wildlife conservationists master biostatisticial analysis. This image shows, from left to right, a sleeping sickness ward, correlated binormal values, a healthy calf, Haematopota pluvialis, a hyperplane, an African elephant - up close and personal.

  Our BIOSTASTISTICS COURSE  is intended for under-graduate and post-graduate applied biologists, as well as professionals who need a refresher course to update them on modern statistical techniques and using .

  •  This e-course is specifically designed to enhance understanding of analytical methods, and to enable you to better design studies.

  •  Whilst it does not assume a prior knowledge of stats, a rapid progression to a sophisticated treatment is facilitated by Monte-Carlo and nonparametric methods.

  •  This e-learning course applies a cross-disciplinary approach to design and analysis, incorporating both the medical statistics approach (confidence intervals), and the ecological statistics approach (hypothesis testing and modelling).

  •  There are numerous worked examples, both using the formulae and R - the free 'package' / 'language'. We provide R-code for the analyses.

  •  There are also many critiques of published research assessing the adequacy of the study design, and of the analytical techniques.

  Our CRITIQUES & CONTROVERSIES  provide on-line critiques of statistical methodologies and critical assessments of past and ongoing controversies in bio-statistical design and analysis.

  •  Why are biostatistics in such a mess?

  •  An assessment of the adequacy and desirability of the parametric paradigm.

  •  A review of (much better) ways to display distributions, together with R-code.

  •  A critical assessment of the autism and MMR vaccine controversy.

  IN THE FIELD  provides information and images useful to biological and medical researchers.

  •  Arthropods of medical or veterinary importance: 'Insect Vectors of Disease' showing mosquitoes, horse flies and tsetse flies indulging in their favourite occupation - biting the photographer!

  •  Arthropods of agricultural, forestry or conservation interest: 'The private lives of aphids - an extraordinary set of close-up images revealing their sex lives (such as it is...), their predators and parasites, and their relationship with ants.

  •  Health and rural development: 'Life and death in a Pastoralist Community' - which hopefully provides some insight into the everyday life of people and livestock living in a harsh semi-arid environment.

    Our images are published under a Creative Commons License Creative Commons symbol (cc) and may be freely used on condition that InfluentialPoints is acknowledged as the source and a link provided.

We need more volunteers!

We have an entirely new sort of course for professional and postgraduate biologists.

Our current students describe it as how to "reverse-engineer" statistics.

In return for feedback we can provide it free (usual cost is £300).

Please e-mail  info@influentialpoints.com for details

 
About our course
Course contents 
Unit overviews 
Course FAQs 
Why it's so different 
Course screenshots 
Unit 1 free Download 
Pay course fees 

InfluentialPoints "Intelligendo potestas est" An information resource: master statistical design and analysis, download the best introduction to statistics using R, free. Or read our on-line critiques of statistical design and analyses. For research biologists: including clinicians and epidemiologists; veterinarians, livestock health and production researchers; agricultural scientists, fisheries and environmental researchers; ecologists, entomologists and wildlife conservationists.

InfluentialPoints aims to empower biologists to appraise and conduct statistical analysis of biological data, with the emphasis upon understanding study design, interpreting the results of statistical analysis, critically evaluating statistical assumptions, identifying misleading statistical analyses, and otherwise promoting high-quality professional statistical analysis. Our e-learning biostatistics course Stats with Attitude (download course-unit 1 and see if you have actually mastered statistics, or merely know how to do statistics) is both cross-disciplinary and cost-effective. This statistics course for biologists covers medical statistics including clinical and epidemiological research, veterinary statistics including livestock health and production research, agricultural statistics including fisheries and environmental science, and ecological statistics including biodiversity & wildlife conservation. Stats with Attitude integrates statistical analysis with study design, nonparametric models with parametric statistics, large-sample approximations and simulation-modelling, and asymptotic models with exact statistics. Given its groundbreaking approach to e-learning biostatistics, we believe this interactive hypertext-based e-course is best for experimental biologists, applied biologists, professional biologists, field workers, postgraduates and undergraduates - and is a powerful biostatistics reference work.

Site map (How to quickly find any page on our website)   Who we are    Contact us    Legal stuff  Copyright for this page: Copyright symbol (c)InfluentialPoints, 2011. All rights reserved.