QP

Quantitative Parasitology 3.0

was designed to deal with the notoriously left-biased frequency distributions of parasites. This parasitology software provides statistically correct ways to describe parasitic infection within a sample of hosts and to compare parasitic infections among different samples of hosts.

download for Windows (Win 98 and above)
download for Mac (this version has fewer tools, OS X or above)

QP 3.0

is free for distribution and use in education and science. However, when using it for academic purposes please cite:

Reiczigel, J. & Rózsa, L. 2005: Quantitative Parasitology 3.0. Budapest. Distributed by the authors.

Alternatively, you can consult and cite:

Rózsa, L., Reiczigel, J. & Majoros, G. 2000. Quantifying parasites in samples of hosts. Journal of Parasitology, 86, 228-232. (pdf)

(For a few most recent methods please consult and cite the new articles as indicated below.)

Statistical tools available in QP 3.0

to describe parasitic infection of a single sample of hosts:

Descriptive statistics (N hosts, prevalence, mean & median intensity, variance/mean),
Exact confidence interval for the prevalence (traditional: Clopper - Pearson),
Exact confidence interval for the prevalence (better: Sterne or Wald) (see Reiczigel 2003),
Bootstrap (BCa) confidence interval for the mean intensity,
Exact confidence interval for the median intensity,
Bootstrap (BCa) confidence interval for the mean abundance,
Bootstrap (BCa) confidence interval for the mean crowding (see Reiczigel et al. 2005a),
Aggregation indices (variance/mean, index of discrepancy, and k of the negative binomial),

to compare parasitic infections between two samples of hosts:

Descriptive statistics (N hosts, prevalence, mean & median intensity, variance/mean),
Chi-square Test to compare Prevalences,
Fisher's Exact Test to compare Prevalences,
Bootstrap t-Test to compare Mean Intensities,
Mood’s Median Test to compare Median Intensities,
Stochastic equality of intensity distributions (see Reiczigel et al. 2005b),
Bootstrap t-Test to compare Mean Abundances,
Comparison of Mean Crowding (see Reiczigel et al. 2005a),

to compare parasitic infections among samples of hosts:

Descriptive statistics (N hosts, prevalence, mean & median intensity, variance/mean),
Chi-square Test to compare Prevalences,
Fisher's Exact Test to compare Prevalences,
Mood’s Median Test to compare Median Intensities.

Why do we need to use several tests parallel?

Click here for a Brief Guide !

Bug fixed

There was a mistake slightly affecting results of confidence intervals for mean intensity and mean abundance. Unfortunately, due to lack of a minus sign in an "error correction", we doubled the error instead of removing it. Sorry.

QP downloaded after 02. 04. 2003. is free from this problem.

Further reading

Reiczigel, J. 2003. Confidence intervals for the binomial parameter: some new considerations. Statistics in Medicine, 22, 611-621. (pdf)
Reiczigel, J., Lang, Z., Rózsa, L. & Tóthmérész, B. 2005. Properties of crowding indices and statistical tools to analyze crowding data. Journal of Parasitology, 91, 245-252. (pdf)
Reiczigel, J., Zakariás, I. & Rózsa, L. 2005. A bootstrap test of stochastic equality of two populations. The American Statistician, 59(2), 156-161. (pdf)

Contacts

E-mail to J. Reiczigel regarding Statistics & Computation

E-mail to L. Rózsa regarding Parasitology, Epidemiology & Reprints

Would you like to receive notifications about future developments just send an e-mail here

QP was supported by:

Hungarian Academy of Sciences,
Hungarian National Scientific Research Found (OTKA T 049157),
Szent István University, Hungary (NKB 2001-KUT-5-018),

Copyright Notice

The papers listed above has been published in the listed journal. These publications remain the only definitive repository of the content and have been certified and accepted after peer review. Copyright and all rights therein are retained by the respective publishers. This material may not be copied or reposted without explicit permission.

This page is on-line since 27. 11. 2001. Last updated

19th of August, 2005.
Maintained by Lajos Rózsa.

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