Chi-squared test
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Chi-squared test
my USMLE Prep
my USMLE Prep
Introduction to biostatistics
Probability
Types of data
Chi-squared test
Fisher's exact test
Kaplan-Meier survival analysis
Kappa coefficient
Mann-Whitney U test
Spearman's rank correlation coefficient
Type I and type II errors
Correlation
Hypothesis testing: One-tailed and two-tailed tests
Linear regression
Logistic regression
Methods of regression analysis
One-way ANOVA
Paired t-test
Repeated measures ANOVA
Two-sample t-test
Two-way ANOVA
Mean, median, and mode
Normal distribution and z-scores
Range, variance, and standard deviation
Standard error of the mean (Central limit theorem)
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Chi-squared test
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A study was conducted at a large medical center to assess the association between rotavirus vaccine and the incidence of intussusception in pediatric patients. The patients were randomized into groups that either received the trial vaccine or a placebo injection. Data from the study is presented below. Which of the following analysis methods would be most appropriate to assess the statistical significance of these results?
| Intussusception within 6 months | No intussusception within 6 months | Total studied | |
| Vaccine administered | 421 | 671 | 1092 |
| Vaccine not administered | 263 | 524 | 787 |
| 784 | 1195 |
Summary
The chi-squared test is a statistical method used to test the independence of two categorical variables. The chi-squared statistic is calculated as the sum of the squared differences between the observed and expected frequencies for each category, divided by the number of degrees of freedom.