# Biostatistics Come to the iPad

in Education (E)

[prMac.com] Alameda, California - For the first time, scientists can compute biostatistics right in their labs using their Apple(R) iPads(TM). Stephen Ashley today is pleased to announce the release of Biostatistics 1.0(TM), an app that runs on the iPad. Biostatistics 1.0 is available for purchase in the Apple App Store.

Scientists in the life sciences conduct their research by measuring the attributes of two or more groups and comparing the outcomes. For instance, a researcher might give an experimental drug to a group of cancer victims, give a placebo to a control group, and see if those taking the drug live longer than the control group. If the survival times of the two groups are different, the researcher needs to determine whether the difference is large enough to justify the conclusion that the drug extends the lives of cancer victims. The researcher applies standard biostatistical tests to the experimental data to confirm that a drug really works. By relying on biostatistics, medical science can avoid subjecting patients to painful or harmful treatments that do not do any good. Biostatistics 1.0 allows investigators to perform these standard biostatistical tests in the lab on their iPads.

Researchers collect different types of data and subject them to different experimental protocols. The type of data the investigator collects and the type of protocol the investigator applies determine which biostatistical test is appropriate for a given experiment. Biostatistic 1.0 provides procedures appropriate for the analysis of most combinations of data types and experimental protocols. Furthermore, the app provides guidance to the investigator to pick the appropriate procedure.

Biostatistics 1.0 provides these tests and procedures:
* descriptive statistics
* t test
* one-way analysis of variance (ANOVA)
* paired t test
* repeated measures ANOVA
* linear regression and correlation
* chi-square
* McNemar's test
* Cochran Q test
* relative risk
* odds ratio
* Mann-Whitney rank-sum test
* Kruskal-Wallis test
* Wilcoxon rank-sum test
* Friedman test
* Spearman rank correlation
* Kaplan-Meier survival curve
* log rank test
* Gehan's test

Device Requirements: